Joint resource allocation for latency-sensitive services over mobile edge computing networks with caching

Jiao Zhang, Xiping Hu*, Zhaolong Ning, Edith C.H. Ngai, Li Zhou, Jibo Wei, Jun Cheng, Bin Hu, Victor C.M. Leung

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

124 Citations (Scopus)

Abstract

Mobile edge computing (MEC) has risen as a promising paradigm to provide high quality of experience via relocating the cloud server in close proximity to smart mobile devices (SMDs). In MEC networks, the MEC server with computation capability and storage resource can jointly execute the latency-sensitive offloading tasks and cache the contents requested by SMDs. In order to minimize the total latency consumption of the computation tasks, we jointly consider computation offloading, content caching, and resource allocation as an integrated model, which is formulated as a mixed integer nonlinear programming (MINLP) problem. We design an asymmetric search tree and improve the branch and bound method to obtain a set of accurate decisions and resource allocation strategies. Furthermore, we introduce the auxiliary variables to reformulate the proposed model and apply the modified generalized benders decomposition method to solve the MINLP problem in polynomial computation complexity time. Simulation results demonstrate the superiority of the proposed schemes.

Original languageEnglish
Article number8491367
Pages (from-to)4283-4294
Number of pages12
JournalIEEE Internet of Things Journal
Volume6
Issue number3
DOIs
Publication statusPublished - Jun 2019
Externally publishedYes

Keywords

  • Content caching
  • Internet of Things (IoT)
  • Mobile edge computing (MEC)
  • Resource allocation

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