Latency-aware joint virtual machine and policy consolidation for mobile edge computing

Latency-aware joint virtual machine and policy consolidation for mobile edge computing
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DOI:
10.1109/ccnc.2018.8319204
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发表时间:
2018
期刊:
2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)
影响因子:
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通讯作者:
T. Genez;Fung Po Tso;Lin Cui
T. Genez;Fung Po Tso;Lin Cui
中科院分区:
其他
文献类型:
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作者:
T. Genez;Fung Po Tso;Lin Cui

文献摘要

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为了保证移动的设备以低的端到端延迟执行卸载的高效和高性能环境,重要的是确保不违反网络策略。在本文中,我们探讨了同时,动态的虚拟机(VM)和策略整合,并制定了移动的边缘计算的策略VM延迟感知整合问题,这被证明是NP难的。我们提出了PL-Edge,这是一种有效的方案,可以联合整合移动的边缘计算的网络策略和虚拟机,以减少设备和虚拟机之间的通信端到端延迟。我们的仿真结果表明,所提出的PL-Edge可以显着减少近45%的策略流的端到端延迟,同时严格遵守网络策略的要求。
To guarantee an efficient and high-performance environment for mobile devices to perform offloading with low end-to-end delay, it is important to ensure no network policies are violated. In this paper, we explore the simultaneous, dynamic virtual machine (VM) and policy consolidation, and formulate the Policy-VM Latency-aware Consolidation problem for Mobile Edge Computing, which is shown to be NP-Hard. We propose the PL-Edge, an efficient scheme to jointly consolidate network policies and virtual machines for mobile edge computing to reduce communication end-to-end delays among devices and virtual machines. Our simulation results demonstrate that the proposed PL-Edge can significantly reduces policy-flows end-to-end delay by nearly 45% while adhering strictly to the requirements of network policies.