research-paper-computer-science-adaptive-computing recent 2014



adaptive-computing-2012 PAPERS

Adaptive Computing Library for Quantum Monte Carlo Simulations.
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Abstract:Quantum Monte Carlo (QMC) methods are used in many scientific computer simulation as their core kernels. The implementation of QMC for distributed NUMA clusters may have load balancing issues at petascale level because of its random nature. We are

Adaptive computing and server virtualization in German data centers-Potentials for increasing energy efficiency today and in 2020
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Abstract Adaptive computing solutions can significantly contribute to saving energy and other resources in data centers. Examples of such solutions include load and power management of servers, adapting air conditioning to dynamic loads, and dynamic

Adaptive learning in computing for non-native speakers.
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Abstract:A significant proportion of e-Learning resources for engineering and computing education appear to be exclusively in English, requiring many learners to adapt themselves to learning from an English language context. Adaptive learning has a role to play in

An Adaptive Fault Tolerance Running on a Cloud Computing Environment.
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Abstract This paper explains the design of the AFT_CCE (an Adaptive Fault Tolerance running on a Cloud Computing Environment). The cloud computing environment distributes IT (Information Technology) resources and allocates according to user's request, so there

Self Adaptive Broadcasting Algorithm for VANET using Bio Inspired Computing
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Abstract: Vehicular Ad Hoc Networks (VANET) are wireless network that has a dynamic nature that leads to constant changes in its infrastructure. These networks are highly essential for the applications among cars on the road. Regarding traffic safety applications

RESOURCE BROKER MANAGEMENT BY ADOPTING SELF-ADAPTIVE MULTI-INSTANCE BROKER SCHEDULING IN GRID COMPUTING
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ABSTRACT A grid resource broker seeks to assign the appropriate jobs to the appropriate resources as part of resource management in the multi-grid environment. Multi instances of the broker system provides multiple instances of brokers to simultaneously process jobs

An Adaptive Resource Allocation Approach for Cloud Computing Platform Based on Mixed Prediction
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Abstract. There are some problems in the existing cloud platform resource allocation methods, such as low rates of resource utilization and the lack of accurate prediction of the trend changes of resources, etc. To solve these problems, MPRA (Mixed Prediction Based

Adaptive Genetic Algorithm for Efficient Resource Management in Cloud Computing
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Abstract:Cloud is one of the emerging technologies in computer industry. Several companies migrate to this technology due to reduction in maintenance cost. Several organizations provide cloud service such as SaaS, IaaS, PaaS. Different organization

adaptive computing research papers



Introducing situational statements as an integrating data structure for user modeling, context-awareness and resource-adaptive computing
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Abstract Ubiquitous computing will have a unifying influence on user modeling, context- awareness and resource-adaptivity. The idea of this paper is to suggest a basic, semantically founded, uniform data structure that is simple but still expressive enough to

Automatic mapping of Khoros-based applications to adaptive computing systems
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Abstract An adaptive computing system (ACS) composed of programmable logic components can serve as a flexible hardware accelerator, especially for image-processing applications. To enable application designers who are unfamiliar with hardware details to The article presents an exploration of a novel optimisation method, called Free Search. Free Search is population-based and can be classified as an evolutionary computational method. Free Search is examined by using a hard non-linear constrained optimisation problem.

TEAPC: Adaptive computing and underclocking in a real PC
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Abstract TEAPC is an IBM/Intel-standard PC realization of the TEAtime performance maximizing adaptive computing algorithm, giving performance beyond worstcase- specifications. TEAPC goes beyond the TEAtime algorithm by adapting to the current CPU Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this magnificent field are spreading at an enormous rate making it possible to build computationally intelligent systems that can do virtually anything, even after considering

Dependable computing and online testing in adaptive and configurable systems
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With very few exceptions, 8, 13, 14, 47 little work has been done in the dependable ACS area. This article describes our recent work on dependable computing in ACS platforms. This work is part of the Department of Defense Advanced Research Project Agency-

Algorithm Analysis and Mapping Environment for Adaptive Computing Systems: Further Results
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We are developing an integrated algorithm analysis and mapping environment particularly tailored for signal processing applications on Adaptive Computing Systems ACS. Our environment allows a designer to map signal processing algorithms to an ACS faster, by

Model-Integrated Environment for Adaptive Computing
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Abstract Many high-performance, embedded applications must function in rapidly changing environments. Power/size constraints limit hardware size, while performance requirements demand algorithm-specific architectures. Reconfigurable computing devices allow the

Adaptive negotiation for agent-based grid computing
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ABSTRACT The Grid concept has recently emerged as a vision for future network based computing, by enabling seamless integration of computing systems and clusters, data storage, specialized networks and sophisticated analysis and visualization software.

Adaptive computing in NASA multi-spectral image processing
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Abstract Typical NASA applications have image processing tasks that require high performance implementations.targeting FPGAs for high performance hardware- based implementations is growing, fueled by research that shows orders of magnitude

Dependable adaptive computing systems: The stanford CRC ROAR project
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Abstract We describe architectures and concurrent error detection, fault-location and recovery techniques for designing reconfigurable systems with high availability, data integrity, and protection from temporary, permanent and common-mode failures. These

Module generators driving the compilation for adaptive computing systems
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We present GLACE, the Generic Library for Adaptive Computing Systems, which offers a comprehensive set of user-extensible module generators and associated meta-data (eg, timing, interfaces, topology, etc.). Furthermore, we will discuss some of the issues that

Adaptive mobile cloud computing to enable rich mobile multimedia applications
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Abstract:With worldwide shipments of smartphones (487.7 million) exceeding PCs (414.6 million including tablets) in 2011 [1], and in the US alone, more users predicted to access the Internet from mobile devices than from PCs by 2015 [2], clearly there is a desire to be

COOWS: Adaptive BDI Agents meet Service-Oriented Computing.
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ABSTRACT Mainstream research in Web Services is currently looking at two main aspects, namely formally describing interactions among services, and finding and combining services. Much work made in the intelligent agents area is being applied to these issues.

Application of qos-driven adaptive computing
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Abstract This paper describes a prototype being developed that provides a worked example of a distributed, real-time system that utilizes application level Quality of Service (QoS) metrics to adapt to various, changing environmental conditions. The underlying system

Adaptive cluster computing using JavaSpaces
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Abstract In this paper we present the design, implementation and evaluation of a framework that uses JavaSpaces [1] to support this type of opportunistic adaptive parallel/distributed computing over networked clusters in a non-intrusive manner.targets

Adaptive service provision in mobile computing environments
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ABSTRACT Adaptability is one of the challenges of today's mobile distributed systems. In this paper, we identify the issues relative to adaptability in a service provisioning context. We introduce an adaptive service provision platform for mobile computing environments

Worldwide computing: Adaptive middleware and programming technology for dynamic Grid environments
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Future-generations cyber-infrastructure must enable the dynamic coordinated composition of computing and information services. Resulting applications need to provide high- performance distributed computing to end users in a scalable, reliable and secure manner

Rainfall forecasting using soft computing models and multivariate adaptive regression splines
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Abstract Long-term rainfall prediction is a challenging task especially in the modern world where we are facing the major environmental problem of global warming. In general, climate and rainfall are highly non-linear phenomena in nature exhibiting what is known as the"

Adaptive composite service plans for ubiquitous computing
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Abstract: Ubiquitous Computing environments require dynamic adaptable application and network services because of their need to adapt to rapidly change context eg new users and devices being introduced, changes in connectivity, changes in user needs and

Unwanted Behavior and its Impact on Adaptive Systems in Ubiquitous Computing.
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Abstract Many ubiquitous computing applications so far fail to live up to their expectations. While working perfectly in controllable laboratory environments, they seem to be particularly prone to problems related to a discrepancy between user expectation and systems

Adaptive security management model in the cloud computing environment
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Abstract:This paper suggests an adaptive access algorithm to decide the access control to the resources using an improved RBAC technique to solve more complex and difficult problems in the cloud computing environment. And the proposed model determines The efforts to construct a national scale grid computing environment have brought unprecedented computing capacity and complexity. Exploiting this complex infrastructure requires efficient middleware to support the execution of distributed applications, which

Adaptive user interface generation in a mobile computing environment
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Summary The pervasion of the world-wide and comprehensive presence of the Internet increases continuously. Data and services are no longer accessed over the Internet uniquely by the traditional desktop PC, but more and more by means of mobile computing

An adaptive and efficient system for computing the 3-D reachable workspace
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Abstract In this paper, we present an efficient system for computing the 3-D reachable workspace for redundant manipulators with joint limits. In our system, we have decomposed the 3-D reachable workspace problem into two major subproblems: workspace point Adaptive Computing systems based on Field- Programmable Gate Arrays (FPGAs) outperform the state-of-the-art microprocessor-based computers in various applications. The flexibility of both softw are and hardware in A Csbroadens the design spaces to be explored by the

Design Flow for Automatic Mapping of Graphical Programming Applications to Adaptive Computing Systems
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Abstract Graphical programming environments such as Khoros [1] from KRI, LabVIEW from National Instruments and Simulink from MathWorks, separate application-level programming from low-level programming by allowing programs to be constructed by interconnecting

Designing adaptive environment-aware applications for mobile computing
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Mobile computing represents a shift in the distributed systems paradigm. The potential of decoupled and disconnected operation, location-dependent computation and communication, and powerful portable computing devices gives rise to opportunities for

An adaptive grid based method for computing molecular surfaces and properties
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Abstract We present an adaptive grid based algorithm to compute a family of relevant molecular surfaces. Molecular interfaces are important in simulations and visualization involving biomolecules. The Richards surface has traditionally been used as a good Most implementations for image registration are produced by defining a similarity measure between two given images, then minimising an energy functional that combines both similarity and regularity measures. The registration result greatly relies on the weight

Parallel adaptive finite element algorithms for electronic structure computing based on density functional theory
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Abstract This thesis proposes some parallel adaptive finite element algorithms for Kohn- Sham equation. First, for the finite element approximation of the linear Schroedinger equation, we discuss the convergence, postprocessing techniques, a posteriori error

Field-based Approaches to Adaptive Motion Coordination in Pervasive Computing Scenarios
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Abstract. Enabling and ruling coordination activities in mobile computing scenarios challenge traditional approaches to distributed application development and software engineering. This chapter focuses on Distributed Motion Coordination, ie, the problems of

Towards real-time adaptive QoS management in middleware for embedded computingsystems
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Meeting the quality of service (QoS) requirements of distributed real-time mission-critical embedded systems is hard [1]. These systems impose timing constraints on both critical and non-critical operations, across distributed endsystems and networks. Likewise, these

Adaptive management of computing and network resources for spacecraft systems
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It is likely that NASA's future spacecraft systems will consist of distributed processes which will handle dynamically varying workloads in response to perceived scientific events, spacecraft environments, spacecraft anomalies and user commands. Since these various

An Adaptive Workflow Scheduling Scheme Based on an Estimated Data Processing Rate for Next Generation Sequencing in Cloud Computing.
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Abstract:The cloud environment makes it possible to analyze large data sets in a scalable computing infrastructure. In the bioinformatics field, the applications are composed of the complex workflow tasks, which require huge data storage as well as a computing-

AMDiS- Adaptive multidimensional simulations: object oriented software concepts for scientific computing.
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Abstract: We describe the basic ideas and ingredients of adaptive FEM and their implementation in our software toolbox AMDiS. This software is primarily developed to solve realistic computations in materials science. The design of AMDiS is based on a natural

A model integrated computing tool-suite for fault-adaptive control
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Abstract. The proliferation of safety-critical embedded systems has created great demands for online fault diagnosis and fault-adaptive control techniques. A number of methodologies have been proposed, but the implementation of on-line schemes that integrate the fault

A framework for adaptive matchmaking in distributed computing
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Abstract One of the major issues of a distributed system is load balancing where workloads are distributed throughout the network. For this, it is necessary to assign new tasks to idle resources and reduce the workload for some other overloaded nodes in the same network

Computing marks from multiple assessors using adaptive averaging
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Abstract Consider a situation in which a group of assessors mark a collection of submissions; each assessor marks more than one submission and each submission is marked by more than one assessor. Typical scenarios include reviewing conference

Adaptive Mesh Refinement for Large Scale Parallel Computing with DOLFIN
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Abstract The design of a parallel implementation of the finite element software DOLFIN is described. To be able to handle large scale problems a new distributed mesh is developed. New distributed pre-and post processing routines are implemented in order to efficiently

An adaptive and historical approach to optimize data access in grid computing environments
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Abstract. The data Grid, a class of Grid Computing, aims at providing services and infrastructure to data-intensive distributed applications which need to access, transfer and modify large data storages. A common issue on Data Grids is the data access optimization

Topology adaptive deformable models for visual computing
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The first model we developed is an energy-minimization based deformable model called Intelligent Balloon that can recover both the complicated shape geometry and the arbitrary unknown topology simultaneously from both volumetric dataset and point clouds. It is a

Utilizing context in adaptive information services for pervasive computing environments
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Abstract. Ubiquitous and pervasive computing environments have the potential to provide rich sources of information about a user and their surroundings. Such context information may form a basis upon which Adaptive Information Services may be adapted. However,

Towards an agile computing approach to dynamic and adaptive service-oriented architectures
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Abstract-Agile computing is an innovative metaphor for distributed computing systems and prescribes a new approach to their design and implementation. Agile computing may be defined as opportunistically discovering, manipulating, and exploiting available computing

Adaptive embedded services for pervasive computing
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Abstract. Today's embedded systems are pervasive, mobile, and in many cases, permanently connected. Yet, they are tightly integrated with their environment and barely coordinated. The next generation of distributed applications requires more decentralized

RSA encryption using extended modular arithmetic on the quicksilver COSM adaptive computingmachine
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Abstract Modular arithmetic is typically the computational bottleneck in a hardware implementation of public key cryptography algorithms. This paper focuses on an implementation of modular multiplication on the Quicksilver COSM adaptive computing

Towards adaptive balanced computing (ABC) using reconfigurable functional caches (RFCs)
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I would like to dedicate this thesis to my wife, Eunjung, and to my daughter, Haerin. Without their incredible support I would not have been able to complete this work. They encouraged me to follow the right direction at a moment when I was discouraged by failure. This work

Parallel programming issues, achievements and trends in high-performance and adaptive computing
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The area of parallel high-performance programming is currently re ceiving a growing attention, owing to the technological (r) evolution of computer components and CPUs based on single-chip multi/many-core architectures. This phenomenon will imply radical changes

Adaptive Computing
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Abstract Recently, Adaptive Systems have been proposed to realize better-than-worst-case performance or power consumption. At the same time, such systems adapt to dynamically- changing environmental and operating conditions, as well as statically-varying

An adaptive gauss method for computing irradiance coefficients of galerkin radiosity systems
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1 Abstract Computing energy transfer between objects is the most expensive operation in radiosity systems. This energy transfer operation, known as the irradiance operator, is an integral that, in general, must be calculated numerically. We wish to increase the speed of

A Novel Adaptive Virtual Machine Deployment Algorithm for Cloud Computing
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Abstract. Virtualization is one of the key enabling technologies for Cloud Computing. When we utilize this technology to abstract physical resources such as memory and CPU for flexible use of them, a virtual machine deployment algorithm does essential role for

Comparison of the Operation of the Centralized and the Decentralized Variants of a SoftComputing Based Adaptive Control
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Abstract: A new branch of Computational Cybernetics based on principles akin to that of the traditional Soft Computing (SC) is applied for the control of two inaccurately and incompletely modeled, coupled dynamic systems. Eeach of them contains an internal

Hardware and Software Fault Tolerance: Definition and evaluation of adaptive architectures in a distributed computing environment
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ABSTRACT This paper discusses the issue of providing tolerance to both hardware and software faults by defining several hybrid-fault-tolerant architectures, which can co-exist and work simultaneously at the top of the supporting environment, and introduces a systematic Resource–sharing systems apply the Peer–to–Peer (P2P) technique to provide scalable multi–attribute range queries. However, due to the heterogeneity of resources and the variation of sharing policies from different providers, current P2P–based resource

SWEB++: Partitioning and scheduling for adaptive client-server computing on WWW
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Abstract The SWEB++ project studies runtime partitioning, scheduling and load balancing techniques for improving the performance of online WWW-based information systems such as digital libraries. The main performance bottlenecks of such a system are caused by the

Bibliography on Mobile Computing, Adaptive Systems and Distributed Computing
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[30] H. Balakrishnan, VN Padmanabhan, S. Seshan, and RH Katz. A comparison of mechanisms for improving TCP performance over wireless links. IEEE/ACM Transactions on Networking, 5 (6): 756–769, 1997. http://www. cs. berkeley. edu/~ hari/papers/ton. ps. 2.2.

Adaptive systems for ubiquitous computing
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Ubiquitous computing offers a vision of computing systems which are embedded in the fabric of everyday life, providing us with seamless access to information and communications regardless of our location. However, if people are able to interact with

generation many-core processor with reliability, fault tolerance and adaptive power management features optimized for embedded and high performance computing
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Abstract The CSX700 is a new many-core processor from ClearSpeed Technology. This paper will be its first public disclosure as an embedded processor. The CSX700 incorporates 192 optimized cores or Processor Elements(PEs), delivering 96 GFLOPS of

Adaptive scheduling for QoS-based virtual machine management in cloud computing
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ABSTRACT Cloud Computing can be viewed as a dynamically-scalable pool of resources. Virtualization is one of the key technologies enabling Cloud Computing functionalities. Virtual machines (VMs) scheduling and allocation is essential in Cloud Computing

Efficient Character Segmentation using Adaptive Binarization and Connected Components Analysis in Ubiquitous Computing Environments
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Abstract In ubiquitous computing environments, many applications are devised to provide autonomous services. To make services autonomous, each service has to inevitably recognize the deployed devices or objects in ubiquitous computing environments. In order

Adaptive control of the double inverted pendulum based on novel principles of soft computing
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Abstract: As a possible new modeling and control technique the application of a novel branch of soft computing developed at Budapest Polytechnic was investigated in the adaptive control of an approximately and partially modeled double inverted pendulum via

Hardware and Software Fault Tolerance: Adaptive Architectures in Distributed ComputingEnvironments
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Abstract This paper discusses the issue of providing tolerance to hardware and software faults in distributed computing environments as well as issues related to efficiency and flexibility. A set of new fault-tolerant architectures is presented, and a detailed

Adaptive Two-Level Blocking Coordinated Checkpointing for High Performance ClusterComputing Systems.
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Blocking coordinated checkpointing is a well-known method for achieving fault tolerance in cluster computing systems. In this work, we introduce a new approach for blocking coordinated checkpointing using two-level checkpointing. The first level of checkpointing

Adaptive user interface support for ubiquitous computing environments
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ABSTRACT Application developers are increasingly facing the need to cover a wider variety target devices. The diversity of devices supporting software applications is expanding from PC, to mobile, home entertainment systems, and even the automotive industry.

ADAPTIVE CONTENT DELIVERY: ANew APPLICATION AREA FOR MEDIA COMPUTINGRESEARCH
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ABSTRACT The explosive growth of the Internet has resulted in increasing diversity and heterogeneity in terms of client device capability, network bandwidth, and user preferences. To date, most Web content has been designed with desktop computers in mind, and often

Cloud K-SVD: Computing data-adaptive representations in the cloud.
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Abstract:This paper studies the problem of data-adaptive representations for big, distributed data. It is assumed that a number of geographically-distributed, interconnected sites have massive local data and they are interested in collaboratively learning a low-

Parallel computing for reacting flows using adaptive grid refinement
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The paper reports on the parallelisation of the computational code for modelling turbulent combustion in large industrial 3D glass melting furnaces. Domain decomposition is used to perform the parallelisation. Performance optimisation is examined, to both speed up the

Adaptive Resource Management for Balancing Availability and Performance in CloudComputing.
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Abstract: Security, availability and performance are critical to meet service level agreements in most Cloud computing services. In this paper, we build on the virtual machine technology that allows software components to be cheaply moved, replicated, and allocated on the

Flexible and Adaptive Control of Real-Time Distributed Object Computing Middleware
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Abstract. Next-generation distributed systems have growing demands for real-time quality of service (QoS), flexibility, and control over the often unpredictable environments in which they are deployed. These demands have been hard to achieve simultaneously. For instance,

Designing a parallel fuzzy expert system programming model with adaptive load balancing capability for cloud computing
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Abstract. MapReduce is a programming model for processing and generating large data sets. It is used widely in cloud computing frequently. Programs written based on the MapReduce model are automatically parallelized and executed on a large cluster of

Large-Scale, Adaptive Fabric Configuration for Grid Computing
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Page 1. Large-Scale, Adaptive Fabric Configuration for Grid Computing Peter Toft HP Labs, Bristol June 2003 (v1.02) Localised for UK English Page 2. 2 The GridWeaver Project A collaboration between – Serrano Project, HP Labs Bristol (UK) – School of Informatics,

PACMA–An Adaptive Symmetric Cryptographic Algorithm for Parallel ComputingEnvironments
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Abstract Traditional symmetric cryptographic algorithms are designed considering the cryptographic complexities rather than the processing capacities of the modern computing systems. Hence the performances of these algorithms are inconsistent and vary

Virtualized audio: A highly adaptive interactive high performance computing application
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Abstract The idea behind virtualized audio is to extract sound sources (performers) from their native acoustic spaces and insert them into a virtual space, in which there are one or more listeners. This paper focuses on the insertion step, which is an interactive application that

Merging Context Perspectives: An Approach to Adaptive Agent Reasoning in PervasiveComputing Systems.
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Abstract In open, heterogeneous, context-aware pervasive computing systems, suitable context models and reasoning approaches are necessary to enable collaboration and distributed reasoning among agents. This paper proposes, develops and demonstrates a

GridWeaver: automatic, adaptive, large-scale fabric configuration for Grid Computing
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Abstract The Gridweaver project reviewed the management tools and techniques currently available for Large Scale Configuration. We substantiated that these will not be able to sustain the demands of the Grid services currently in production, unless there is a

Parallel structural computing based on adaptive partitions of domain and mesh
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Abstract. This work deals with critical issues related to parallel structural computing and emphasizes the usefulness of combining two advanced trends in structural numerical modeling, namely adaptive finite element computation and parallel tasking, in terms of

A Framework for Adaptive Cluster Computing using JavaSpaces1
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Abstract Heterogeneous networked clusters are being increasingly used as platforms for resourceintensive parallel and distributed applications. The fundamental underlying idea is to provide large amounts of processing capacity over extended periods of time by

Soft computing approach to adaptive removal of interference signal.
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Abstract A soft computing approach using neural network, fuzzy logic and machine learning to the problem of interference canceling is proposed in the paper. The famous signal- processing structure of adaptive noise canceling is used for the research of interference

Infrastructure of a Context Adaptive and Pervasive Multimodal Multimedia ComputingSystem
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Abstract The aim of pervasive multimodal multimedia computing is to realize anytime, anywhere computing using various modes of human-computer interaction. The current state- of-the-art on pervasive systems and solutions, however, do not include applications that

Computing Challenges in Adaptive Optics for the Thirty Meter Telescope
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Page 1. TMT.AOS.PRE.11.133.REL01 ICALEPCS Grenoble, October 10-14th, 2011 1 Computing Challenges in Adaptive Optics for the Thirty Meter Telescope Corinne Boyer ICALEPCS Grenoble, France October 10, 2011 Page 2.

Introduction to the special section on adaptive power management for energy and temperature-aware computing systems.
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To maintain a sustained growth of modern IT technology, it is important to curb the energy usage and carbon emission of existing IT facilities. In addition to the environmental impact, excessive power consumption also increases die temperature, reduces system reliability,

SLA-aware adaptive provisioning method for hybrid workload application on Cloud computingplatform
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Abstract:Resource provisioning is a general technique for handling the resource allocation in cloud environment. Monitoring the system performance and the user request is crucial for efficient cloud resource management. Also in cloud environments, issues such as cost

Towards Self-adaptive Policy Scheduling in Multi-nodes Computing Environments
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Abstract Self-adaptive method at runtime based on policy put itself to some extent that only one policy could be executed once and was constrained to a limited range. Consequently, the overall consideration of the system was ignored, thus resulting to fail to realize self-

Adaptive Information: Improving Business Through Semantic Interoperability, GridComputing, and Enterprise Integration
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Back to the book in hand, Pollock and Hodgson share their business insights of what, when, how, where and which of the infostructure that will sustain not only the information industry, but also the corporate world. Interestingly, while there are many books on infrastructure as

Data Mining in Adaptive Control of Distributed Computing System Performance
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Abstract:The Distributed Computing Systems are significant building blocks in design and implementation of the business critical applications. It is always important for such environments to provide high performance for all kinds of workload variations. There are

Software Engineering Support for the Development of Context-aware, Adaptive Applications for Mobile and Ubiquitous Computing Environments
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Abstract. The main motivation for this research is the increasing popularity received by mobile and pervasive computing applications in combination with the increased complexity targeting such environments. In

Adaptive Genetic Algorithm for Efficient Resource Management in Cloud Computing
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Abstract:Cloud is one of the emerging technologies in computer industry. Several companies migrate to this technology due to reduction in maintenance cost. Several organizations provide cloud service such as SaaS, IaaS, PaaS. Different organization

Multiobjective Reinforcement Learning Using Adaptive Dynamic Programming And ReservoirComputing
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Abstract. This paper introduces a multiobjective reinforcement learning approach which is suitable for large state and action spaces. The approach is based on actorcritic design and reservoir computing. A single reservoir estimates several utilities simultaneously and

An adaptive handoff management for fault tolerant mobile computing
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Abstract Due to the mobility of mobile hosts, checkpoints and message logs of the computing process may disperse over different mobile support stations in the checkpointing and rollback recovery protocol for mobile computing. Three existing checkpoint handoff

Rethinking Context for Pervasive Computing: Adaptive Shared Perspectives
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Abstract:Mobile and pervasive computing applications depend on environmental awareness, not just of their own local system and immediate surroundings, but increasingly of the network as a whole. Traditional models of context do not sufficiently account for the

Optimal Threshold Computing in Automatic Image Thresholding using Adaptive Particle Swarm Optimization
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ABSTRACT Selecting an optimal threshold value is the most important step in image thresholding algorithms. For a bimodal histogram which can be modeled as a mixture of two Gaussian density functions, estimating these densities in practice is not simply feasible.

A QoS-based adaptive model for fault-tolerant distributed computing
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Abstract: The capability of dynamically adapting to distinct run-time conditions is an important issue when designing distributed systems where negotiated quality of service (QoS) cannot always be delivered between processes. Providing fault-tolerance for such

Adaptive and Efficient Computing for Subsurface Simulation within ParFlow
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This project is concerned with the PF. WRF model as a means to enable more accurate predictions of wind fluctuations and subsurface storage. As developed at LLNL, PF. WRF couples a groundwater (subsurface) and surface water flow model (ParFlow) to a

Adaptive Decentralized Load Sharing Algorithms with Multiple Job Transfers In DistributedComputing Environments
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Stable Sender-Symmetric Algorithm which efficiently allocates jobs in the network and possesses multiple job transfer capabilities. Till now, all the algorithms schedule only one job at a time to other nodes in a distributed system. We here present a mechanism that is

Towards autonomic computing: adaptive job routing and scheduling
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Abstract Computer systems are rapidly becoming so complex that maintaining them with human support staffs will be prohibitively expensive and inefficient. In response, visionaries have begun proposing that computer systems be imbued with the ability to configure

Distributed and Adaptive Parallel Computing for Computational Finance Applications
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Analysts, scientist, engineers, and multimedia professionals require massive processing power to analyze financial trends, create test simulations, model climate, compile code, render video, decode genomes and other complex tasks. Although these groups could

An adaptive communication system for heterogeneous network computing
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Abstract In this paper, we present an architecture of an Adaptive Communication System (ACS) that provides applications with programmable communication, control, and management services that can be adopted dynamically to maximize application

Highly adaptive lookup systems for p2p computing
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Abstract:-The performance of file sharing peer-to-peer systems depends to a large degree on the speed of lookup operation. A number of proposed solutions rely on distributed hashing techniques. Traditionally nodes are assigned fixed length identifiers which does

Computing the influence functions of an adaptive optics large deformable mirror: the numerical method and the experimental data
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A feed-forward, open-loop correction dramatically increases the closed-loop response of the servo system This correction is based on the DM stiffness matrix operatively defined by arbitrarily displacing one actuator, while all the others are constrained at 0, and

Highly Adaptive Lookup Systems for Peer-to-Peer Computing
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Abstract:The performance of file sharing peer-to-peer systems depends to a large degree on the speed of lookup operation. A number of proposed solutions rely on distributed hashing techniques. Traditionally nodes are assigned fixed length identifiers which does

The Visualisation of Adaptive Behaviour in Ubiquitous Computing Experiments
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SUMMARY The creation of new ubiquitous computing systems has been hindered by the considerable economic and logistical factors associated with their development. Hence, 3D simulators (complete with virtual environments and sensors) have been successfully

TEAtime Adaptive-Computing Case-Study, Demonstration and Updated Results
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The TEAtime system described herein was prototyped and characterized in a matter of days after the TEAtime idea was conceived. This rapidprototyping was only possible by using an FPGA. TEAtime (Timing Error Avoidance) is a microarchitectural/logic/analog design that

A Two-Dimensional Thin-Film Transistor Simulation Using Adaptive Computing Algorithm
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Abstract: In this paper we simulate physical properties of thin-film transistor (TFT) using adaptive computing algorithm. Based on the finite volume approximation, the monotone iterative method, a posteriori error estimation, and the one-irregular meshing technique, a

Matching Genetic Sequences in Distributed Adaptive Computing Systems
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Abstract Distributed adaptive computing systems (ACS) allow developers to design applications using multiple programmable devices. The ACS API, an API created for distributed adaptive computing, gives developers the ability to design scalable ACS

FPGA Implementation of a Multi-Core System Architecture for Power Adaptive Computing
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Because of the increasingly tight global energy supplies, governments and research institutions around the world are looking for new energy.[1][2] Using a variety of green energy or emerging energy as the source of energy of the electronic system has become

Energy Adaptive Computing: A New Paradigm for Sustainable IT
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Abstract The sustainability concerns of Information Technology (IT) go well beyond energy efficient computing and require techniques for minimizing environmental impact of IT infrastructure over its entire life-cycle. Traditionally, IT infrastructure is overdesigned at all

Adaptive computing and server virtualization in German data centers-Potentials for increasing energy efficiency today and in 2020
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Abstract Adaptive computing solutions can significantly contribute to saving energy and other resources in data centers. Examples of such solutions include load and power management of servers, adapting air conditioning to dynamic loads, and dynamic

Research on Adaptive Computing
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Abstract ASL focuses on research and education of new methodologies and novel architectures for current and emerging technologies, and microelectronic devices. These devices form the core technology for communications and personal computing, industry,

Dynamically Reprogrammable Architecture: A New Approach to Adaptive Computing
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Demonstrate faster execution of legacy code. Architecture and memory are fine-tuned to improve execution speed. Code is compiled on-the-fly into a hardware configuration. Runtime, data dependent adaptation of functionality to fit the outside environment.

Adaptive Computing Library for Quantum Monte Carlo Simulations.
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Abstract:Quantum Monte Carlo (QMC) methods are used in many scientific computer simulation as their core kernels. The implementation of QMC for distributed NUMA clusters may have load balancing issues at petascale level because of its random nature. We are

Assignee: Adaptive Computing Enterprises, Inc., Provo, UT (US)
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(57) ABSTRACT A system and method are disclosed for dynamically reserving resources Within a cluster environment. The method embodi ment of the invention comprises receiving a request for resources in the cluster environment, monitoring events after receiving the

Co-Fields: an Adaptive Approach for Motion Coordination in Mobile Computing Scenarios
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ABSTRACT Enabling and ruling coordination activities in mobile computing scenarios challenge traditional approaches to distributed application development and engineering. This paper focuses on the problems of coordinating the movements of a group of agents(

High Adaptive Fault Tolerance in Real Time Cloud Computing
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Abstract:-With the advancement of technology, computing has0 changed in a very drastic way. It has travelled a very long way from parallel to distributed to grid computing. Now a- days, the most pre-dominant internet based computing is Cloud computing. This

A Dot to DDoS Attack on Cloud Computing Environment Using Adaptive WRED Congesiton Control Algorithm
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Abstract:As companies increasingly use virtualized data centers and cloud services, new weaknesses have opened up in enterprise infrastructure. At the same time, denial-of-service attacks (DoS) are moving from brute-force floods of data to more skillful attacks on

An Adaptive Requirement Framework for SCUDWare Middleware in Ubiquitous Computing
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Abstract:-Due to high dynamic computing environments of ubiquitous computing, it poses many challenges for software middleware technologies. The component-based middleware systems should possess self-adjusting functions for adapt to internal and external

On Integrity Problem of Inference Systems in Adaptive Fuzzy-Neural Computing
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Abstract: This paper explores the learning fuzzy inference systems implemented as adaptive fuzzy-neural networks. The research into application of learning techniques to fuzzy inference systems (FIS) has matured into a family of adaptive fuzzy inference systems (

An Adaptive Storage and Retrieval Mechanism to Reduce Response-Time in High Performance Computing Clusters
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Abstract-Ever-increasing growth of high performance computing applications requires employment of novel methods in all aspects of computing systems. The response time of file storage and retrieval operations is one of the most important factors of storage systems

Adaptive learning in computing for non-native speakers.
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Abstract:A significant proportion of e-Learning resources for engineering and computing education appear to be exclusively in English, requiring many learners to adapt themselves to learning from an English language context. Adaptive learning has a role to play in

An Adaptive Fault Tolerance Running on a Cloud Computing Environment.
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Abstract This paper explains the design of the AFT_CCE (an Adaptive Fault Tolerance running on a Cloud Computing Environment). The cloud computing environment distributes IT (Information Technology) resources and allocates according to user's request, so there

On the Use of Adaptive, Exact Decisions Number Types Based on Expression-Dags in Geometric Computing
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Wrapped in a C++ class, expression-dag-based adaptive-precision number types support exact ge- ometric computing in an utmost user-friendly way. Such number types like CORE::Expr [12, 33] and leda::real [4, 6, 17, 18] guarantee exact decisions in geometric computing for

Docking@ Home: An Adaptive Protein-Ligand Docking System based on VolunteerComputing
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Abstract The design of new pharmaceutical drugs relies on finding small molecules, called ligands, that dock into proteins and play an essential role in turning protein functions on or off. Finding candidate ligand structures in a wet lab is very expensive and time demanding

Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing
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Abstract Recent advances in GPUs (graphics processing units) lead to massively parallel hardware that is easily programmable and widely applied in areas which require intensive computation besides graphics acceleration. The appearance of GPU clusters gains

and Graphics Research Group Visualization and Interactive Systems Group Center for Image Processing and Integrated Computing Department of Electrical
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Abstract In this paper we describe an approach for the parameterization and modeling of objects represented by adaptive distance fields (ADFs). ADFs allow the construction of powerful solid modeling tools. They can represent surfaces of arbitrary and even changing

An Adaptive Redundant Reservation Strategy in Distributed High-performance ComputingEnvironments
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Abstract In distributed high-performance computing environments, resource reservation mechanism is an effective approach to provide desirable quality of service for large-scale applications. However, conventional reservation service might result in lower resource Both parallel and distributed systems play a vital role in the improvement of high performance computing. A primary issue concerned with the performance of a parallel application executing on a distributed system is allocating the tasks of the application

Towards Adaptive Security for Ubiquitous Computing Systems.
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ABSTRACT The Àexibility and dynamism of ubiquitous computing systems have a strong impact on the way their security can be achieved, reaching beyond traditional security paradigms like perimeter security and communication channel protection. Constant

Self Adaptive Broadcasting Algorithm for VANET using Bio Inspired Computing
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Abstract: Vehicular Ad Hoc Networks (VANET) are wireless network that has a dynamic nature that leads to constant changes in its infrastructure. These networks are highly essential for the applications among cars on the road. Regarding traffic safety applications

Adaptive object storage system for mobile computing environments
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The power management has become an important consideration in the design of new hardware and software. The disk is a promising candidate for power management because it is a device with which the user does not interact with directly. With proper management

Adaptive Architectures for Hybrid Fault Tolerance in Distributed Computing Systems
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Abstract This paper discusses the issue of hardware and software fault tolerance in distributed computing environments as well as issues related to efficiency and flexibility. A set of new fault-tolerant architectures is presented, and a detailed dependability analysis The ICANNGA series of conferences has been organized since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community. Originally ICANNGA stood for International Conference

An Adaptive Resource Allocation Approach for Cloud Computing Platform Based on Mixed Prediction
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Abstract. There are some problems in the existing cloud platform resource allocation methods, such as low rates of resource utilization and the lack of accurate prediction of the trend changes of resources, etc. To solve these problems, MPRA (Mixed Prediction Based

SOFT COMPUTING BASED ADAPTIVE CRUISE CONTROL
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Abstract Research on adaptive cruise control (ACC) is presently one of the most important topics in the field of Intelligent Transportation Systems. The main feature of such controllers is that there is adaptation to a user-preset speed and, if necessary, speed reduction to

Adaptive Resource Management Technology for NASA Computing Systems
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Abstract-This paper addresses the problem of making the best use of computing and buffer resources in systems that operate in dynamic environments. The problem is addressed by providing solutions for system specification, performance monitoring, allocation

fixing existing faults (Corrective Maintainence), adapting a software system to a newcomputing environment (Adaptive Maintainence), and maintainence
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Beckler, 2 maintainability, or other aspects of the system (Perfective Maintainence).(4) Restructuring, a generic term applied to most software maintainence and defined by Chikofsky and Cross as,the transformation from one representation form to another at the

AN ADAPTIVE LOCATION DATA MANAGEMENT STRATEGY FOR CONTEXT-AWARENESS IN THE UBIQUITOUS COMPUTING ENVIRONMENT
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ABSTRACT: Recently, a location based system (or middleware) is usually based on the distributed architecture to manage a large-volume of location data efficiently and supports a variety of spatio-temporal queries. Especially, in the ubiquitous computing environment,

Application-Specic Computing with Adaptive Register File Architectures
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Abstract:The demand for higher computing power to effectively execute compute-intensive functions and thus more on-chip computing resources is ever increasing. On the other hand, applications that demand larger on-chip memory bandwidth are continuously emerging. In

Adaptive Resource Allocation in Large Computing Environments based on Workload, SLA, and Performance Characteristics
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ABSTRACT Nowadays, one of the key challenges in information system operation seems to be the steadily increasing cost of ownership. While various concepts have been developed to improve the efficiency of small-sized system, the task to optimize large, distributed

Adaptive, Distributed Resource Discovery for ALAN and Grid Computing
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Abstract In a heterogeneous system such as a wide-area Application Level Active Netowrk (ALAN) or a computational Grid, different types of resources exist and resource availability is not implied in every node. A basic service in this type of environment is the resource

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