Dependency-aware Parallel Offloading and Computation in MEC-enabled Networks
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DOI码：10.1109/LCOMM.2022.3142419
所属单位：School of Computer Science and Information Engineering, Hefei University of Technology
发表刊物：IEEE Communications Letters
项目来源：Fundamental Research Funds for the Central Universities of China under Grant JZ2021HGTB0081 Anhui Pr
关键字：Mobile edge computing, hybrid-dependency, parallel offloading and computation
摘要：This letter proposes an effective dependency-aware subtask offloading and computation scheme in mobile edge computing (MEC) enabled networks, where we construct sequential execution windows of the MEC server by incorporating the hybrid dependencies among subtasks of an application, and the subtasks within the same subtask execution window could be offloaded and computed in parallel. By doing so, the completion delay and energy consumption of the application can be reduced. To make the proposed scheme achieve the minimum completion delay and energy consumption, we further jointly optimize the transmission rate and start execution time of subtasks within each execution window. The formulated problem is non-convex and difficult to solve. To make it tractable, we design a bisection search and successive convex approximation based iterative algorithm. Simulation results validate that compared with other existing schemes, our proposed scheme could reduce the summation of the completion delay and energy consumption by 10.36%.
合写作者：Shifeng Xiao,Yibo Yi,Min Peng
第一作者：Caihong Kai
论文类型：期刊论文
通讯作者：Wei Huang
学科门类：工学
文献类型：J
ISSN号：1558-2558
是否译文：否
发表时间：2022-01-22
收录刊物：SCI、EI