Distributed Protection Services Deployment in Mobile Edge Computing

LI Yong-cheng; ZONG Hong-mei; LIN Jie-min; MENG Er-shuai; FU Xiao-dong; FANG Hong-lian; SHEN Yi-chun

doi:10.13756/j.gtxyj.2022.05.002

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Distributed Protection Services Deployment in Mobile Edge Computing

更新时间：2023-01-29

- Distributed Protection Services Deployment in Mobile Edge Computing
- Study on Optical Communications Issue 5, Pages: 7-11(2022)
- 作者机构：
  
  1.苏州大学　电子信息学院，江苏　苏州　215006
  2.中天通信技术有限公司，江苏　南通　226000
  3.中天宽带技术有限公司，江苏　南通　226463
  4.中天科技精密材料有限公司，江苏　南通　226009
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2022.05.002
  CLC： TN929
- Published：10 October 2022，
  
  Received：11 January 2022，
扫描看全文
LI Yong-cheng, ZONG Hong-mei, LIN Jie-min, et al. Distributed Protection Services Deployment in Mobile Edge Computing. [J]. Study on Optical Communications (5):7-11(2022)
DOI：

LI Yong-cheng, ZONG Hong-mei, LIN Jie-min, et al. Distributed Protection Services Deployment in Mobile Edge Computing. [J]. Study on Optical Communications (5):7-11(2022) DOI： 10.13756/j.gtxyj.2022.05.002.

摘要

针对移动边缘计算分布式专用保护业务的部署问题，文章以最小化业务的总时延为目标，构建了整数线性规划（ILP）模型，并提出了基于轮询的高效启发式算法。仿真结果表明，与传统策略相比，文章提出的双轮询业务部署算法在有效降低业务总时延的同时，均衡了网络中移动边缘计算（MEC）服务器的负载。

Abstract

In this paper

we study the deployment problem of distributed dedicated protection services in mobile edge computing. To minimize the total delay

we develop an Integer Linear Programming (ILP) model and efficient polling based heuristic algorithms. Simulation results show that the proposed double polling based algorithm can effectively reduce the total delay of all services and balance loads of the Mobile Edge Computing (MEC) servers.

关键词

移动边缘计算分布式业务专用保护轮询

Keywords

MECdistributed servicesdedicated protectionpolling

references

Mach P, Becvar Z. Mobile Edge Computing: A Survey on Architecture and Computation Offloading[J]. IEEE Communications Surveys & Tutorials, 2017, 19(3): 1628-1656.

刘铁岩, 陈薇, 王太锋. 分布式机器学习：算法、理论与实践[M]. 北京: 机械工业出版社, 2018.

Liu T Y, Chen W, Wang T F, et al. Distributed Machine Learning: Theories, Algorithms, and System[M]. Beijing: Machinery Industry Press, 2018.

Vigneri L, Spyropoulos T, Barakat C. Low Cost Video Streaming Through Mobile Edge Caching: Modelling and Optimization[J]. IEEE Transactions on Mobile Computing, 2018, 18(6): 1302-1315.

Ning Z, Dong P, Kong X, et al. A Cooperative Partial Computation Offloading Scheme for Mobile Edge Computing Enabled Internet of Things[J]. IEEE Internet of Things Journal, 2019, 6(3): 4804-4814.

Roy A, Midya S, Majumder K, et al. Enhancing Live Virtual Machine Migration Process via Optimized Resource Allocation in Next Generation Mobile Edge Network: A Hybrid Evolutionary Approach[J]. International Journal of Communication Systems, 2020, 33(12): 1-26.

Shen G, Guo H, Bose S K. Survivable Elastic Optical Networks: Survey and Perspective (invited)[J]. Photonic Network Communications, 2016, 31(1): 71-87.

Li Y, Zhu L, Bose S K, et al. Energy-saving in IP over WDM Networks by Putting Protection Router Cards to Sleep[J]. Journal of Lightwave Technology, 2018, 36(14): 3003-3017.

AMPL & Gurobi. Linear Programming Optimization Software Package[EB/OL]. (2015-01-01)[2022-04-15]. https://ampl.com/products/solvers/solvers-we-sell/gurobi/https://ampl.com/products/solvers/solvers-we-sell/gurobi/.

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