Research Article
Joint Design of Caching and Offloading for Mobile Edge Computing in 5G Heterogenous Networks
@INPROCEEDINGS{10.1007/978-3-031-37139-4_9, author={Jianxiong Xiao and Jing Liu and Xiang Chen and Yuhan Dong and Terng-Yin Hsu}, title={Joint Design of Caching and Offloading for Mobile Edge Computing in 5G Heterogenous Networks}, proceedings={IoT as a Service. 8th EAI International Conference, IoTaaS 2022, Virtual Event, November 17-18, 2022, Proceedings}, proceedings_a={IOTAAS}, year={2023}, month={7}, keywords={edge computing active caching task offloading}, doi={10.1007/978-3-031-37139-4_9} }- Jianxiong Xiao
Jing Liu
Xiang Chen
Yuhan Dong
Terng-Yin Hsu
Year: 2023
Joint Design of Caching and Offloading for Mobile Edge Computing in 5G Heterogenous Networks
IOTAAS
Springer
DOI: 10.1007/978-3-031-37139-4_9
Abstract
With the rapid development of the information and communication technology, more and more computation-intensive and also latency-sensitive applications have been emerging. Mobile edge computing (MEC) has been regarded as one of the most significant technologies to satisfy the rigorous requirements of these applications. However, the efficient allocation of MEC resources in multiple dimensions remains an obstacle to further develop MEC in 5G and beyond 5G heterogeneous networks. In this paper, we formulate a joint optimization problem of caching and offloading for MEC systems to minimize the total latency of computation tasks. Following a divide and conquer idea, we first propose a caching scheme oriented to computation tasks with a comprehensive consideration in popularity, data size and computation complexity. Then, we design a caching-aware offloading strategy to make more efficient allocation of communication and computation resources based on the caching situation at the MEC server. Simulation results verify that the proposed joint design can achieve lower total latency comparing to the basic or separate schemes.
