GEES: Enabling Location Privacy-Preserving Energy Saving in Multi-Access Edge Computing

Ziqi Wang, Xiaoyu Xia, Jason Xue, Ibrahim Khalil, Minghui Liwang, Xun Yi

Keywords: location privacy, user privacy, privacy and security, multi-access edge computing, edge energy saving

TL;DR: This paper introduces GEES, a system designed to ensure users' location privacy while improving energy efficiency in multi-access edge computing environments.

Abstract: The global deployment of the 5G network has led to a substantial increase in the deployment of edge servers to host web applications, catering to the growing demand for low service latency by edge web users. Running edge servers 24/7 leads to enormous energy consumption and excessive carbon emissions. Energy-efficient edge resource provision is desired to achieve sustainable development goals in the new multi-access edge computing (MEC) architecture. Recently, several approaches have been proposed to solve the demand response problem for energy saving in cloud computing and MEC. However, accurate location information of edge web users must be provided, which sacrifices edge web users' privacy. To protect edge web users' location privacy while saving energy in MEC, we systematically formulate this location privacy-preserving edge demand response (LEDR) problem. To solve the LEDR problem effectively and efficiently, we propose a system named GEES by incorporating differential geo-obfuscation to secure user privacy, while maximizing system utility and energy efficiency through inference with theoretical analysis. Extensive and comprehensive experiments are conducted based on a synthetic dataset based on real-world data, and the results demonstrate that GEES outperforms representative approaches by 23.02%, 31.47%, and 17.29% on average in terms of energy efficiency, user privacy and system utility.

Track: Systems and Infrastructure for Web, Mobile, and WoT

Submission Guidelines Scope: Yes

Submission Guidelines Blind: Yes

Submission Guidelines Format: Yes

Submission Guidelines Limit: Yes

Submission Guidelines Authorship: Yes

Student Author: Yes

Submission Number: 106