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Open AccessJournal ArticleDOI

Fast Service Migration Method Based on Virtual Machine Technology for MEC

Wei Lu, +2 more
- 01 Jun 2019 - 
- Vol. 6, Iss: 3, pp 4344-4354
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TLDR
This work combines remote loading and redirection to accelerate the service migration by tracing historic access patterns and can observably reduce the loading time of a VM-based application.
Abstract
In the era of the Internet of Things (IoT), mobile edge computing (MEC) has become an effective solution to meet the energy efficiency and delay requirements of IoT applications. In MEC systems, tasks can be offloaded from lightweight mobile devices to edge nodes that are nearer to the users. To improve user experience, we combine remote loading and redirection to accelerate the service migration. By tracing historic access patterns, the proposed method first generates a loading request list that locates the core codes in the image file of service applications for booting. The core codes are then be prefetched and cached automatically. Furthermore, to avoid the potential UI lagging caused by incomplete service migration, edge nodes can continuously load the remaining codes in the image file. Once the image file is completely migrated, the file will be reconstructed. The running virtual machine (VM) then switches data access to the merged image file. Experiments show that this method can observably reduce the loading time of a VM-based application.

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Citations
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Resource Allocation for Vehicular Fog Computing Using Reinforcement Learning Combined With Heuristic Information

TL;DR: This article forms the problem of allocating the limited fog resources to vehicular applications such that the service latency is minimized, by utilizing parked vehicles and proposes a heuristic algorithm to efficiently find the solutions of the problem formulation.
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FAST: Flexible and Low-Latency State Transfer in Mobile Edge Computing

TL;DR: In this article, the authors proposed a metaheuristic algorithm based on Tabu search to solve the state transfer optimization problem in mobile edge computing (MEC), and then proposed Flexible and Low-Latency State Transfer in Mobile Edge Computing (FAST).
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Falcon: A Blockchain-Based Edge Service Migration Framework in MEC

TL;DR: A blockchain-based security edge service migration framework, Falcon, which uses mobile agents different from VM and container as edge service carriers, making migration more flexible and lower energy consumption and higher service quality is proposed.
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When Agile Security Meets 5G

TL;DR: The design of an agile security risk-aware edge server mechanism for 5G driven MEC deployment, which uses multiple thresholds and a load-balancing security control to mitigate the risks of resource exhaustion and violation of the service level agreement (SLA) faced by the edge servers while taking advantage of multiple cloud layers to increase the degree of availability and dependability of the system.
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CEC: A Containerized Edge Computing Framework for Dynamic Resource Provisioning

TL;DR: In this article , the authors proposed a control-based resource pre-provisioning algorithm based on the predicted request distribution, which is a self-adaptive controller to tune the resource for containers.
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