Jing Chao and Xu Jianwu: A Privacy-Preservation-Aware Delay Optimization Task Offloading Algorithm for Collaborative Edge Computing Abstract:

Although collaborative edge computing systems enhance the performance of mobile edge computing, users face significant privacy leakage issues during task offloading. To address this problem, we designed a Privacy-Preservation-Aware Delay Optimization task offloading algorithm (PPDO) within the collaborative edge computing system. By considering two types of privacy—location and usage patterns—we established a privacy task model to interfere with edge servers to protect user privacy. To mitigate the additional delay caused by privacy protection, we implemented a policy iteration algorithm based on the Markov Decision Process to minimize delay while safeguarding privacy. Furthermore, to accelerate the solution of the Markov Decision Process, we improved PPDO by optimizing the action set. Finally, we conducted simulation experiments using the EUA dataset. The results indicate that compared to existing algorithms, PPDO achieves the best trade-off between privacy protection and delay optimization with minimal latency. Additionally, we explored the advantages and disadvantages of the improved PPDO algorithm.

Keywords:Collaborative Edge Computing; Task Offloading; Privacy Protection; Markov Decision ProcessAuthors:

Jing Chao^1,2, Xu Jianwu¹

Affiliation:

¹School of Computer Science and Engineering, Guilin University of Technology, Guilin, China, 541004²Key Laboratory of Embedded Technology and Intelligent Systems, Guilin University of Technology, Guilin, China, 541004

Reference Format:

Chao JING, Jianwu XU, 2025. PPDO: a privacy-preservation-aware delay optimization task-offloading algorithm for collaborative edge computing.Frontiers of Information Technology & Electronic Engineering, 26(1):27-41. https://doi.org/10.1631/FITEE.2300741

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About this Journal

Frontiers of Information Technology & Electronic Engineering (abbreviated as FITEE, Chinese name 《信息与电子工程前沿（英文）》, ISSN 2095-9184, CN 33-1389/TP) is a comprehensive English academic monthly journal in the field of information electronics, indexed in SCI-E and EI, with the latest impact factor of 2.7, positioned in the JCR Q2 zone. It originated from the English version of the Journal of Zhejiang University C: Computer and Electronics, founded in 2010, and was renamed in 2015. It is now a sub-journal of the Chinese Academy of Engineering’s journal in the field of information and electronic engineering, covering areas such as computer science, information and communication, control, electronics, and optics. Article types include research papers, reviews, personal viewpoints, and commentaries. The current editor-in-chief is Academician Pan Yunhe and Fei Aiguo. The journal implements an international peer review system, with initial feedback typically provided within 2-3 months. Once accepted, articles are published online quickly.

It has received funding from the Excellent Action Plan for Chinese Science and Technology Journals project launched by the China Association for Science and Technology and six other ministries (Phase I and II, Tiered Journals). In 2021-2022, it was selected in the high-quality scientific journal grading directory for the information and communication field (organized by the China Communications Society) and the computing field (organized by the China Computer Society), both listed as the highest T1 level; it was included in the China Computer Society’s recommended international academic conference and journal directory-2022 (cross-disciplinary/integrated/emerging). In 2024, it was included in the “International Conferences and International/Domestic Journal Directory Recommended by the Chinese Association for Artificial Intelligence” (Category B international journal in the field of artificial intelligence fundamentals and integration).

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