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Impact Factor:3.436
DOI number:10.1109/LCOMM.2022.3142419
Affiliation of Author(s):School of Computer Science and Information Engineering, Hefei University of Technology
Journal:IEEE Communications Letters
Funded by:Fundamental Research Funds for the Central Universities of China under Grant JZ2021HGTB0081 Anhui Pr
Key Words:Mobile edge computing, hybrid-dependency, parallel offloading and computation
Abstract: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%.
Co-author:Shifeng Xiao,Yibo Yi,Min Peng
First Author:Caihong Kai
Indexed by:Journal paper
Correspondence Author:Wei Huang
Discipline:Engineering
Document Type:J
ISSN No.:1558-2558
Translation or Not:no
Date of Publication:2022-01-22
Included Journals:SCI、EI