edge computing-2018-technology


Mobileedge computingwith network resource slicing for Internet-of-Things
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Network slicing is an end-to-end concept that encompasses network functions, radio accesses, and clouds for enabling customized information-centric Internet-of-Things (IoT) services. The key idea is to virtualize all the resources from radio accesses to IoT service

Wireless powered cooperation-assisted mobileedge computing
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This paper studies a mobileedge computing(MEC) system in which two mobile devices are energized by the wireless power transfer (WPT) from an access point (AP) and they can offload part or all of their computation-intensive latency-critical tasks to the AP connected

Game Theory for Multi-AccessEdge Computing: Survey, Use Cases, and Future Trends
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Game Theory (GT) has been used with significant success to formulate, and either design or optimize, the operation of many representative communications and networking scenarios. The games in these scenarios involve, as usual, diverse players with conflicting goals. This

Service entity placement for social virtual reality applications inedge computing
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While social Virtual Reality (VR) applications such as Facebook Spaces are becoming popular, they are not compatible with classic mobile-or cloud-based solutions due to their processing of tremendous data and exchange of delay-sensitive metadata.Edge computing This paper proposes a resource management for MobileEdge Computing(MEC) using user mobility prediction. MEC is a new technology in which distributededgeservers (ESs) proceed the task of users in real-time. In MEC, ESs are distributedly installed and users have

Multiple granularity online control of cloudlet networks foredge computing
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Operating distributed cloudlets at optimal cost is nontrivial when facing not only the dynamic and unpredictable resource prices and user requests, but also the low efficiency of todays immature cloudlet infrastructures. We propose to control cloudlet networks at multiple Protecting the environment from many threats has become a priority worldwide. The Internet of Things technologies enables the continuous monitoring of various parameters related to environment statuses, such as air quality and many others. In this paper, we propose a

An Efficient Software Defined Data Transmission Scheme based on MobileEdge Computingfor the Massive IoT Environment.
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This paper presents a novel and efficient data transmission scheme based on mobileedge computingfor the massive IoT environments which should support various type of services and devices. Based on an accurate and precise synchronization process, it maximizes data

Review on Internet of Things: Technology, Protocols andEdge Computing
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ABSTRACT Internet of Things (IoT), is a new expansion of Information Technology and promising concept that acquiring popularity in every application and field. The Internet of Things transforms the real physical objects and their status into intelligent virtual objects

A Decision Framework for Blockchain Platforms for IoT andEdge Computing
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Blockchains started as an enabling technology in the area of digital currencies with the introduction of Bitcoin. However, blockchains have emerged as a technology that goes beyond financial transactions by providing a platform supporting secure and robust

MobileEdge ComputingEmpowered Fiber-Wireless Access Networks in the 5G Era
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Page 1. MobileEdgeComputingEmpowered Fiber-Wireless Access Networks in the 5G Era IEEE Communications Magazine 2017 BP Rimal, DP Van and M. Maier BY ABHISHEK GUPTA FRIDAY GROUP MEETING MARCH 9, 2018 Page 2. Motivation Reduce congestion on backhaul

DeployingEdge ComputingNodes for Large-scale IoT: A Diversity Aware Approach
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The current advances in microelectronics and correspondences have prompted the improvement of huge scale IoT networks, where gigantic tactile data is produced and should be handled. To help ongoing handling for vast scale IoT, conveyingedgeservers with

Green and Sustainable Cloud of Things: Enabling CollaborativeEdge Computing
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The proliferation of Internet of Things (IoTs) beside the emergence of various cloud services push the horizon ofedge computing. By offering cloud capabilities at the networkedge closer to mobile devices,edge computingis a promising paradigm to resolve several vital

Are Our OSes Prepared forEdge Computing
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Edge computingis an emergingcomputingparadigm, which is aimed at latency-sensitive applications such as autonomous vehicles and augmented reality that cannot be deployed to centralized cloud because of high wide area network latencies. Single-board The International Conference onEdge Computing(EDGE) is aimed at becoming a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice ofedge computing, to identify

Secure Social Networks in 5G Systems with MobileEdge Computing, Caching and Device-to-Device (D2D) Communications
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Mobile social networks (MSNs) have continuously been expanding and trying to be innovative. Recent advances of mobileedge computing(MEC), caching, and device-to- device (D2D) communications can have significant impacts on MSNs in the 5th generation

Privacy-Preserving Sensor Data Analysis forEdge Computing
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Recent advances in mobile and ubiquitouscomputingtechnologies have accelerated the interest in cloud services. However, omnipresent data gathering and user tracking lead to inherent data security and privacy risks. There is a growing concern about how personal

An Extensible Real-Time Capable Server Architecture forEdge Computing
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Internet changed how the people live and access the information that they need. Thanks to the accessibility and the benefits that it brings into the lives, new research areas are emerging. One of the areas is Internet of Things (IoT) which connects countless of devices to

PEACE: Privacy-Preserving and Cost-Efficient Task Offloading for Mobile-Edge Computing
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The limited information processing capability and battery life of mobile devices are becoming a bottleneck in delivering more advanced and high-quality services to the customers. To address this problem, the recently advocated mobile-edge computing(MEC)

Multi-task Offloading and Resource Allocation for Energy-Efficiency in MobileEdge Computing
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Onedge computing, mobile devices can offload somecomputingintensive tasks to the cloud so that the time delay and battery losses can be reduced. Different from cloudcomputing, an edge computingmodel is under the constraint of radio transmitting bandwidth, power and

QueryGuard: Privacy-preserving Latency-aware Query Optimization forEdge Computing
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The emergingedge computingparadigm has enabled applications having low response time requirements to meet the quality of service needs of applications by moving the computations to theedgeof the network that is geographically closer to the end-users and

Resource Scheduling Based on Improved Spectral Clustering Algorithm inEdge Computing
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With the development of Internet of Things (IoT), the massive data generated by it forms big data, and the complexity of dealing with big data brings challenges to resource scheduling inedge computing. In order to solve the problem of resource scheduling and improve the

Energy Efficient OpportunisticEdge Computingfor the Internet of Things
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Edge computingin Internet of Things enhances application execution by retrieving cloud resources to the close proximity of resource-constrained end devices at theedgeand by enabling task offloading from end devices to theedge. In this paper,edge computing

Modelling and Simulation of Fog andEdge ComputingEnvironments using iFogSim Toolkit
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Page 1. Wiley STM / Editor Buyya, Srirama: Fog andEdgeComputing: Principles and Paradigms, Chapter 17 / Introduction to Fog andEdgeComputing1 Chapter 17 Modelling and Simulation of Fog andEdgeComputingEnvironments using iFogSim Toolkit Redowan Mahmud and Rajkumar

MobileEdge ComputingFor Massive Information Processing
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With the growth of mobile application market, more and more intelligent devices have produced huge amounts of information. The computation and transmission of these information caused great pressure to the mobile terminal devices. Computational challenges

A NOVEL APPROACH ONEDGE COMPUTINGAND ITS VISION AND CHALLENGES
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The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a newcomputingparadigm,edge computing, which calls for processing the data at theedgeof the network.Edge computinghas the potential to address

Fair Multi-Resource Allocation with External Resource for MobileEdge Computing
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We consider the problem of fair multi-resource allocation for mobileedge computing(MEC). In MEC, to execute tasks with demands on multiple types ofcomputingresources in the edgeservers, the users must upload their tasks over a single dedicated wireless

Robust Resource Allocation UsingEdge Computingfor Smart Oil Fields
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Efficient and safe petroleum extraction in remote offshore oil-fields is a challenging and hazardous operation. To address this challenge smart oil-fields have been proposed and deployed for remote offshore oil-fields. A smart oil-field includes a wide range of sensors

Joint Allocation ofComputingand Wireless Resources to Autonomous Devices in MobileEdge Computing
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We consider the interaction between mobileedge computing(MEC) resource management and wireless devices that offload computationally intensive tasks through shared wireless links toedgecloud servers, so as to minimize their completion times. We model the

On the Economics of FogComputing: Inter-play among Infrastructure and Service Providers, Users, andEdgeResource Owners
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Fogcomputingis a paradigm which bringscomputing, storage, and networking closer to end users and devices for better service provisioning. One of the crucial factors towards the success of fogcomputingis how to incentivize the individual usersedgeresources, thereby

AN ENHANCED METHOD FOREXTENDING COMPUTATION AND RESOURCES BY MINIMIZING SERVICE DELAY INEDGECLOUDCOMPUTING
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ABSTRACT A lot of research has been done in the field of cloudcomputingincomputing domain. For its effective performance, variety of algorithms has been proposed. The role of virtualization is significant and its performance is dependent on VM Migration and allocation





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