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Smart contract-based caching and data transaction optimization in mobile edge computing

delete2022-09-01
delete21
PRE
AI
G
Ge Wang
C
Chunlin Li *
Y
Yong Huang
X
Xiangli Wang
Y
Youlong Luo
DOI:10.1016/j.knosys.2022.109344delete
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摘要

摘要

En 中文
The emergence of mobile edge computing can provide technical support for the development of Internet services and for coping with massive data traffic, thereby reducing network latency and ensuring efficient network operations and service delivery. However, the mobile edge computing environment is prone to data loss and privacy leakage, and data security and reliability cannot be guaranteed. The application of blockchain technology ensures the stability and dependability of data caching and transactions. In order to guarantee the security of data caching in the mobile edge computing environment and minimize the response time of caching servers, this paper proposes a decentralized data caching strategy in the mobile edge computing environment. The strategy uses a greedy algorithm to make the transmission delay of the requested content as small as possible under the multiple constraints of the storage space of each server and whether the content is cached on the server. To address the problem that data trading platforms are unable to afford the computation and storage of massive amounts of data and cannot guarantee that the data will not be leaked, this paper proposes a secure decentralized data transaction program. The scheme promotes the increase of transaction turnover rate and improves the revenue of both participating parties by establishing a buyer-seller matching algorithm. According to the experimental results, the proposed data caching strategy can improve the cache hit rate and reduce the transmission delay; the proposed data transaction solution can increase the revenue of both the data holder and the data buyer. (C) 2022 Published by Elsevier B.V.
Keyword:
Mobile edge computing
Blockchain
Smart contract
Data caching
Data transaction

期刊

K
Knowledge-Based Systems
IF:
7.6
论文数:
1.2W
被引数:
4.5W

机构

C
Chongqing University
学者数:
5.1W
论文数: 4.1W
被引数: 6.0W
W
Wuhan University of Technology
学者数:
3.4W
论文数: 2.4W
被引数: 4.4W
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