sequence grid computing and grid computing algorithm





sequence Grid computing



A Study to the effect of task granulation for the DNA multiple sequence alignment on Grid Computing
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Abstract:DNA Multiple sequence alignment is widespread bioinformatics application that determines the similarity between a new sequence with other exist sequences. Along with the growth in the heterogeneous biological data, many research groups designed tools to

Grid Computing-based Sequence Alignment
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Abstract-Sequence alignment plays an important role in bioinformatics. There are two types of sequence alignment, global and local alignment. Needleman-Wunsch algorithm is the most famous example of global alignment. It is based on sequential computing so it has a

Multiple Sequence Alignment on the Grid Computing using Cache Technique
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Abstract:Multiple sequence alignment is an important problem and popular in the molecular biology. This is a basic problem that its solution could be used to proof and discover the similarity of the new sequence with other exist sequences; to define the

DNA Sequence Patterns a Successful Example of Grid Computing in Genome Research
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The amount of information is growing exponentially with ever-new technologies emerging and is believed to be always at the limit. In contrast, huge resources are obviously available, which are underused in the IT sector, similar as eg in the renewable energy sector.

Grid computing algorithm



Genetic algorithm based schedulers for grid computing systems
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Abstract. In this paper we present Genetic Algorithms (GAs) based schedulers for efficiently allocating jobs to resources in a Grid system. Scheduling is a key problem in emergent computational systems, such as Grid and P2P, in order to benefit from the large computing

A task scheduling algorithm based on PSO for grid computing
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Abstract: Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and so on. Task scheduling is a fundamental

A QoS guided scheduling algorithm for grid computing
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Abstract Task scheduling is an integrated component of computing. With the emergence of grid and ubiquitous computing, newer challenges have arisen in task scheduling. Unlike traditional parallel computing, grid is a shared enterprising environment where is no

Efficient job scheduling in grid computing with modified artificial fish swarm algorithm
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Abstract:one of the open issues in grid computing is efficient job scheduling. Job scheduling is known to be NP-complete, therefore the use of non-heuristics is the de facto approach in order to cope in practice with its difficulty. In this paper, we propose a

New hybrid algorithm for task scheduling in grid computing to decrease missed task
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Abstract:The purpose of Grid computing is to utilize computational power of idle resources which are distributed in different areas. Given the grid dynamism and its decentralize resources, there is a need for an efficient scheduler for scheduling applications. Since task

Analytical model for performance evaluation of load balancing algorithm for Grid computing
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Abstract:In this paper we propose a new load balancing algorithm for the grid computing service. The proposed load balancing is based on the CPU speed of the workers in the grid system. We developed an analytical model and a simulation model using NS2 to evaluate

Enhanced ant algorithm based load balanced task scheduling in Grid computing
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Abstract Load balanced task scheduling is very important problem in complex grid environment. Finding optimal schedules for such an environment is an NP-hard problem, and so heuristic approaches must be used. Antalgorithm is a heuristic task scheduling

Grouping Based Job Scheduling Algorithm Using Priority Queue And Hybrid Algorithm inGrid Computing
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ABSTRACT Grid computing enlarge with computing platform which is collection of heterogeneous computing resources connected by a network across dynamic and geographically dispersed organization to form a distributed high performance computing

Achieving of tabu search algorithm for scheduling technique in grid computing using GridSim simulation tool: multiple jobs on limited resource
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Abstract Grid computing is a form of distributed computing involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographically dispersed organization. One of the scheduling techniques in Grid

Simple scheduling algorithm with load balancing for grid computing
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Grid computing provides the means of using and sharing heterogeneous resources that are geographically distributed to solve complex scientific or technical problems. Task scheduling is critical to achieving high performance on grid computing environment. The objective of

A novel task replica based resource scheduling algorithm in grid computing
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Abstract:Increased network bandwidth, more powerful computers and the Internet have driven the on-going demand for new and better ways to compute. Grid computing allows one to unite pools of servers, storage systems, and networks into a single large system so you

Improved Job-Grouping Based PSO Algorithm For Task Scheduling In Grid Computing
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Abstract: The goal of grid computing is to provide powerful computing abilities for complicated tasks by using all available and free computational resources. A suitable and efficient scheduling algorithm is needed to schedule user jobs to heterogeneous

Using imperialist competition algorithm for independent task scheduling in grid computing
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Abstract. A grid computing environment provides a type of distributed computation that is unique because it is not centrally managed and it has the capability to connect heterogeneous resources. A grid system provides location-independent access to the

Survey of Resource and Grouping Based Job Scheduling Algorithm in Grid Computing
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Abstract:Grid computing is distributed computing environment, which enabling the dynamic selection, sharing resources based on availability, capability, performance or cost of these computing resource and simultaneously also based on organization specific requirements

Proffering a New Method for Grid Computing Resource Discovery with Improved GeneticAlgorithm by Means of Learning Automata Based on Economic Criteria
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Accepted: Nov 11, 2013; Published: Nov 19, 2013 Abstract: Grid computing offers an effective way to build high-performance computing systems, allowing users to efficiently access and integrate geographically distributed computers, data and applications. Grid

A parallel multilevel fast multipole algorithm for GRID computing allowing optical full-wave simulations
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Abstract We present a parallel multilevel fast multipole algorithm aimed at low cost GRID computer environments connected by a fast switch. The algorithm is a scheduling algorithm where work packets are handled in certain order to ensure minimal idle time of the

Load Balancing Dynamic Job Grouping Based Schedulimg Algorithm in Grid Computing
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Abstract:Grid Computing is a high performance computing that solves complicated tasks and provides powerful computing abilities. The main purpose of Grid computing is to share the computational power, storage memory, network resource to solve a large problem.

BIG DATA CLUSTERING USING GRID COMPUTING AND ANT-BASED ALGORITHM
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ABSTRACT. Big data has the power to dramatically change the way institutes and organizations use their data. Transforming the massive amounts of data into knowledge will leverage the organizations performance to the maximum. Scientific and business

an agent based service discover algorithm using agent directors for grid computing
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Abstract Grid computing has emerged as a viable method to solve computational and data-intensive problems which are executable in various domains from business computing to scientific research. However, grid environments are largely heterogeneous, distributed

Adoption of Shortest Path Algorithm (Dijkstra's) in Distributed VANET Using GRID Computing
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Abstract:this paper proposed approach provides assistance in traffic routing using Grid computing with shortest path algorithm in VANET. VANET is an enhancement in ad-hoc wireless network toward the application of vehicular system. In VANET different types of

Optimized Load Balancing in Grid Computing using Tentative Ant Colony Algorithm
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Abstract:In today's competitive environment the objectives and goals of the producers (also called resource owners) and consumers (also called end users) are different. Computational grid has been considered as the best paradigm for handling large scale distributed system

Dynamic Cluster Scoring Job Scheduling algorithm for grid computing
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Abstract:Grid is a parallel and distributed system, shares the resources among multiple administrative domains. Job scheduling is one of the major issues in the grid environment. Effective Job scheduling algorithm is proposed to overcome the scheduling problems so

LOW AND HIGH LEVEL HYBRIDIZATION OF ANT COLONY SYSTEM AND GENETICALGORITHM FOR JOB SCHEDULING IN GRID COMPUTING
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ABSTRACT. Hybrid metaheuristic algorithms have the ability to produce better solution than stand-alone approach and no algorithm could be concluded as the best algorithm for scheduling algorithm or in general, for combinatorial problems. This study presents the

An Effective Cluster Score Job Scheduling Algorithm for Grid Computing
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Abstract. Grid computing is the collection of computer resources from multiple locations to reach a common goal. Distributed computing supports resource sharing. Parallel computing supports computing power. Grid computing aims to harness the power of both distributed

COMPARATIVE ANALYSIS OF JOB SCHEDULING FOR HYBRID ALGORITHM AND PRIORITY QUEUE ALGORITHM IN GRID COMPUTING
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ABSTRACT Grid computing enables sharing, selection and aggregation of computing resources for solving complex and large-scale scientific problems. The resources making up a grid need to be managed to provide a good quality of service. Grid scheduling is a vital

Dual Objective Min-Min Algorithm for Meta Task Scheduling in Grid Computing
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Abstract Grid computing harnesses the idle time of resources for effective utilization. It combines the geographically distributed heterogeneous resources to solve a computational intensive problem. The jobs that make use of these available resources are also

Resource Discovery in Grid Computing using Novel ACO based Algorithm
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Grid Information Service (GIS). In order to facilitate resource sharing it is important that Grid Resource Management System (GRMS) find location of preferred service and timely mode. Currently approach to resource discovery in GIS are based on centralized or hierarchical

Volunteer computing resource discovery algorithm in grid environments
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Abstract: In grid environment, the peer-to-peer computer network is beneficial to build a scalable volunteer computing environment. Large-scale computations often need a great deal of scalable volunteer computing resources. In this paper a resource discovery and

An Efficient Job Scheduling Algorithm using Min-Min and Ant Colony Concept for Grid Computing
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Abstract: Grid computing has emerged as an important field from the distributed and parallel computing where the resources of various computers in the network are used to solve a particular problem, because of high demand of computational power and need of high

Hierarchical Scheduling Algorithm for Grid Computing Environment
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ABSTRACT: Grid computing is increasingly being viewed as the next phase of distributed computing. Grid aims to maximize the utilization of an organization's computing resources by making them shareable across applications. In grid computing, job scheduling is an

A New Image Segmentation Algorithm for Grid Computing
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Abstract-A new method for image segmentation using watershed transform algorithm is presented in this paper. It takes advantage of the fact that the proposed algorithm produced good results even if the same parameters are used for the standard segmentation

Implementation of Object Oriented Approach to Efficient Task Scheduling in Grid Computingwith Modified Ant Algorithm
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Abstract:In today's pervasive world of needing information anytime and anywhere, the explosive Grid Computing environments have now proven to be so significant that they are often referred to as being the world's single and most powerful computer solutions. So,

A new task Pre-scheduling algorithm by Reduction of Critical Path Length in Grid Computing
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Abstract In this paper, we propose a new algorithm for restructuring task graphs for suitable scheduling in grid computing. This algorithm obtains the critical path length in task graph and then start to reduce the length of this path. For optimize the length of critical path To

An Analysis of QOS Guided Scheduling Algorithm in Grid Computing
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Abstract Grid Computing is a large set of geographically distributed heterogeneous resources for solving problems in science and engineering, but to select the best resource for a given job is still a major problem in the area of Grid Computing. So a good resource

Algorithm analysis for the pipeline computing in Grid GIS
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(E_mail: Donglan@ pub. xaonline. com) Abstract. Grid GIS is a new technology which integrates the Grid with GIS. The analysis and application of geospatial information based on WebGIS now has new contents and application approaches based on Grid GIS, so the

Bi-objective scheduling in heterogeneous grid computing systems using a parallel micro evolutionary algorithm
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ABSTRACT This work presents the application of a micro evolutionary algorithm to solve a biobjective scheduling problem in heterogeneous grid computing environments. A new formulation of the bi-objective scheduling problem is introduced, by considering the

Sort-mid tasks scheduling algorithm in grid computing
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Sort-mid tasks scheduling algorithm in grid computing Naglaa M. Reda, Abdel Nasser Tawfik, Mohammed A. Marzouk, Soheir M. KhamisPII: S2090-1232(14)00143-X DOI:

Design and Implementation of an Efficient Resource Sharing algorithm for Grid Computing
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ABSTRACT Grid Computing refers to a new technology infrastructure paradigm which is based on the Web and the Internet that coordinates and provides the facility of resource sharing over various geographical locations. Resource sharing and scheduling resources

Task Scheduling in Grid Computing Environment Using Compact Genetic Algorithm
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Abstract:Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and soon. Task scheduling is a

Resource Scheduling Based on Ant Colony Optimization Algorithm in Grid ComputingEnvironments
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Abstract: Resource scheduling is a extremely complex problem in grid computing. The performance of Grid strongly depends on the efficiency of resource scheduling. But, resource scheduling needs more optimal resource scheduling algorithm, otherwise it

A SURVEY REPORT ON LOAD BALANCING ALGORITHM IN GRID COMPUTINGENVIRONMENT
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ABSTRACT Grid computing is extension of distributed computing that incorporates coordinating and sharing of computational power, data storage and network resources across dynamic and geographically dispersed organizations. One motivation of Grid

Genetic Algorithm Based Dynamic Jobs Scheduling in grid computing
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Abstract-A computational grid is a large scale, heterogeneous collection of autonomous systems, geographically distributed and interconnected by low latency and high bandwidth networks. The sharing of computational resources is a major aspect of grids. Scheduling is

A clustering algorithm using DNA computing based on three-dimensional DNA structure and grid tree
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Abstract:-Clustering is an important technique for data analysis, conventional methods include hierarchical clustering, Density-based clustering, Subspace clustering, etc. In this paper, we utilize DNA computing using three-dimensional DNA structure (also called k-

Distributed MD4 password hashing with grid computing package BOINC
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Distributed computing on heterogeneous nodes, or grid computing, provides a substantial increase in computational power available for many applications. This paper reports our experience of calculating cryptographic hashes on a small grid test bed using a software

Grid Computing at Texas Tech University Using SAS
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Grid computing creates a distributed computing environment that leverages unused computing resources to obtain information that would otherwise take weeks or months to process. The promise of extraordinary increases in computing ability for minimal

An Agent based Dynamic Resource scheduling Model with FCFS-Job Grouping Strategy inGrid Computing
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ABSTRACT Grid computing is a group of clusters connected over high-speed networks that involves coordinating and sharing computational power, data storage and network resources operating across dynamic and geographically dispersed locations. Resource

Grid computing in image analysis
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ABSTRACT Diagnostic surgical pathology or tissue–based diagnosis still remains the most reliable and specific diagnostic medical procedure. The development of whole slide scanners permits the creation of virtual slides and to work on so-called virtual microscopes

A grid computing framework for quadratic programming under uncertainty
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ABSTRACT Mathematical programming under uncertainty concerns the optimal management of resources when there is stochasticity in the data. Specifically, this requires making a (first- period) decision before the realization of uncertainty. In addition, recourse-based

Grid Computing in the Enterprise with the UD MetaProcessor
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United Devices Summary and the Future ? The opportunity with enterprise grid computing (or P2P) is REAL ? There are some challenges but they can be overcome

A grid computing based approach for probabilistic load flow analysis
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ABSTRACT Grid computing is an advanced technique for collaboratively solving collaborative problems; those require secured data sharing, high performance computing (HPC) and large size of memory resources. This technology can be useful in many areas of power

Research on the performance of grid computing for distributed neural networks
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Summary In this paper, we report the first evaluation of cooperation computing for artificial neural networks in distributed environment. Several performance-relevant factors are considered, including architecture of computing service, workflow and cooperation

Adaptive workflow nets for grid computing
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Existing grid applications commonly use workflows for the orchestration of grid services. Existing workflow models however suffer from the lack of adaptivity. In this paper we define Adaptive Grid Workflow nets (AGWF nets) appropriate for modeling grid workflows and

Gridmarket: A practical, efficient market balancing resource for Grid and P2P computing
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 2. R. Buyya, D. Abramson, J. Giddy, and H. Stockinger, Economic Models for Re- source Management and Scheduling in Grid Computing, Special Issue on Grid Com- puting Environments, The Journal of Concurrency and Computation: Practice and Experience (CCPE), Wiley

Implementing effective data management policies in distributed and grid computingenvironments
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A common programming model in distributed and grid computing is the client/server paradigm, where the client submits requests to several geographically remote servers for executing already deployed applications on its own data. In this context it is mandatory to

Scalable Integration of Wind Power on Transmission Systems using Grid Computing
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ABSTRACT In the UK and also worldwide it is certain that future transmission systems will operate with significantly larger proportions of large-scale wind power generation, both onshore and offshore. Therefore, in order to operate and control future transmission

A resource-based server performance control for grid computing systems
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With the rapid advances in Internet and Grid technique, an increasing number of applications will involve computing systems. These applications in turn create an increasing demand for efficient resource management, request handling policies and admission

How web community organisation can help grid computing
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OurGrid is a web-based community whose members can use each others spare computing power. When an OurGrid member is not using his own computer, it can be used by any other member. This paper describes how the community aspects of OurGrid have been crucial

Why Performance Models Matter for Grid Computing
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Global heterogeneous computing, often referred to as the Grid[5, 6], is a popular emerging computing model in which high performance computers linked by high-speed networks are used to solve technical problems that cannot be solved on any single machine. The vision

Exploiting the flexibility of IDR (s) for Grid computing
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ABSTRACT The IDR (s) method that is proposed in [26] is an efficient limited memory method for solving large nonsymmetric systems of linear equations. In [11] an IDR (s) variant is described that has a single synchronisation point per iteration step, which makes this

A review on wireless grid computing
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ABSTRACT Grid Computing is a concept, a network, a work in progress, part hype and part reality, and it is increasingly capturing the attention of the computing community. It uses clusters of personal computers, servers or other machines. They link together to tackle

Jp INTERFACE: A Java Implementation of the p-Calculus for Grid Computing
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Abstract This paper describes a new Java interface loosely modeled on the primitives of the p-calculus [14] to be used as a substratum for Grid based parallel computing with the dynamic workflow. It allows the creation of processes and communications channels

Disclosure Risk and Grid Computing
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ABSTRACT Grid computing raises new issues in respect of the confidentiality of individual data. Different data sets are likely to have been collected under different terms of use and they are also likely to contain variables that have different levels of sensitivity and disclosure risk.

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