Full Text:
<497>
CLC number:
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 0
Clicked: 858
PPDO: a privacy preservation-aware delay optimization task-offloading algorithm for collaborative edge computing
| |||||||||||||
Chao JING, Jianwu XU. PPDO: a privacy preservation-aware delay optimization task-offloading algorithm for collaborative edge computing[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .
@article{title="PPDO: a privacy preservation-aware delay optimization task-offloading algorithm for collaborative edge computing",
author="Chao JING, Jianwu XU",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2300741"
}
%0 Journal Article
%T PPDO: a privacy preservation-aware delay optimization task-offloading algorithm for collaborative edge computing
%A Chao JING
%A Jianwu XU
%J Journal of Zhejiang University SCIENCE C
%V -1
%N -1
%P
%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2300741
TY - JOUR
T1 - PPDO: a privacy preservation-aware delay optimization task-offloading algorithm for collaborative edge computing
A1 - Chao JING
A1 - Jianwu XU
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2300741
Abstract: Although collaborative edge computing (CEC) systems are beneficial in enhancing the performance of mobile edge computing (MEC), the issue of user privacy leakage becomes prominent during task offloading. To address this issue, we designed a privacy preservation-aware delay optimization task-offloading algorithm (PPDO) in a CEC system. By considering location and usage-pattern privacy protection, we established a privacy task model to interfere with the edge server and ensure user privacy. To address the extra delay arising from privacy protection, we subsequently leveraged a markov decision processing (MDP) policy-iteration-based algorithm to minimize delays without compromising privacy. To simultaneously accelerate the MDP operation, we developed an extension that improves the PPDO by optimizing the action set. Finally, a comprehensive simulation was conducted using the EUA dataset. The results demonstrated that PPDO achieves the optimal trade-off between privacy protection and delay with a minimal delay compared with that of existing algorithms. Moreover, we examined the advantages and disadvantages of improving PPDO.
Open peer comments: Debate/Discuss/Question/Opinion
<1>