Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling
Singapore University of Technology and Design · Chongqing University of Posts and Telecommunications · +1 more institution
Abstract
In this paper, we propose an optimization framework of offloading from a single mobile device (MD) to multiple edge devices. We aim to minimize both total tasks' execution latency and the MD's energy consumption by jointly optimizing the task allocation decision and the MD's central process unit (CPU) frequency. This paper considers two cases for the MD, i.e., fixed CPU frequency and elastic CPU frequency. Since these problems are NP-hard, we propose a linear relaxation-based approach and a semidefinite relaxation (SDR)-based approach for the fixed CPU frequency case, and an exhaustive search-based approach and an SDR-based approach for the elastic CPU frequency case. Our simulation results show that the…
Citation impact
- FWCI
- 83.65
- Percentile
- 100%
- References
- 45
Authors
4- TQThinh Quang ThinhCorresponding
Singapore University of Technology and Design
- JTJianhua Tang
Chongqing University of Posts and Telecommunications, Singapore University of Technology and Design
- QDQuang Duy Lã
Singapore University of Technology and Design
- TQTony Q. S. Quek
Singapore University of Technology and Design, Kyung Hee University
Topics & keywords
- Computer science
- Central processing unit
- Frequency scaling
- Energy consumption
- Mobile edge computing
- Latency (audio)
- Computational complexity theory
- Relaxation (psychology)
- Affordable and clean energy