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Latency-aware joint virtual machine and policy consolidation for mobile edge computing
conference contribution
posted on 2019-02-18, 11:38 authored by Thiago A. Genez, Fung Po TsoFung Po Tso, Lin CuiTo 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.
Funding
The work has been supported by the UK Engineering and Physical Sciences Research Council (EPSRC) grants EP/P004407/1 and EP/P004024/1.
History
School
- Science
Department
- Computer Science
Published in
2018 15th IEEE Annual Consumer Communications and Networking Conference CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking ConferenceVolume
2018-JanuaryPages
1 - 6Citation
GENEZ, T.A., TSO, F.P. and CUI, L., 2018. Latency-aware joint virtual machine and policy consolidation for mobile edge computing. Presented at the 2018 15th IEEE Annual Consumer Communications and Networking Conference (CCNC), Las Vegas, USA, 12-15 January 2018.Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Acceptance date
2017-10-08Publication date
2018Notes
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.ISBN
9781538647905eISSN
2331-9860Publisher version
Language
- en