An Online Robust Resource Allocation Algorithm for Mobile Edge Computing

被引:0
|
作者
Li, Boyu [1 ]
Hao, Qinfen [2 ]
Wu, Bin
Xu, Guangquan
机构
[1] Tianjin Univ, Coll Intelligence & Comp, Tianjin 300072, Peoples R China
[2] Chinese Acad Sci, Inst Comp Technol, Beijing 100045, Peoples R China
关键词
Task analysis; Servers; Wireless communication; Resource management; Fault tolerant systems; Fault tolerance; Wireless sensor networks; Mobile edge computing; wireless networks; resource allocation; fault-tolerance;
D O I
10.1109/LWC.2024.3401180
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This letter studies fault tolerance and resource allocation for offloaded tasks in Mobile Edge Computing (MEC). The limitations of computational resources and wireless transmission power, coupled with server failures in MEC, present challenges for optimizing resource allocation and ensuring uninterrupted task execution. Existing literature primarily addresses resource allocation and fault tolerance separately, resulting in resource wastage and an increased count of faulty tasks. To address these issues, we first propose a novel method for jointly allocating computational resources and wireless transmission power for offload task. We then introduce the Dynamic Fault Tolerance Task Packing (DFTTP) algorithm, an online task packing algorithm. DFTTP, based on a new variant of the primary-standby replica mechanism, can tolerate multiple server failures simultaneously. Theoretical analysis and simulation results demonstrate that DFTTP, together with the proposed resource allocation method, can reduce the number of faulty tasks and enable higher resource utilization compared with existing algorithms.
引用
收藏
页码:2013 / 2017
页数:5
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