Energy-Saving Computation Offloading by Joint Data Compression and Resource Allocation for Mobile-Edge Computing

• Published in: IEEE communications letters Vol. 23; no. 4; pp. 704 - 707
• Main Authors: Xu, Ding, Li, Qun, Zhu, Hongbo
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cloud computing; Computation offloading; Computational geometry; Computer simulation; Convexity; Data compression; Edge computing; Energy conservation; Energy consumption; energy efficient; Mobile computing; Mobile-edge computing; Optimization; Resource allocation; Resource management; Servers; Task analysis; task offloading; Wireless sensor networks

In this letter, we consider a multiuser mobile-edge computing (MEC) system with latency constraint. In order to meet the latency requirement and save energy consumption, each user can partially offload the task to the MEC server for edge computing. Data compression is applied to compress the offload...