Blockchain-based Mobility-aware Offloading mechanism for Fog computing services

被引:16
|
作者
Dou, Wanchun [1 ,2 ]
Tang, Wenda [1 ,2 ]
Liu, Bowen [1 ,2 ]
Xu, Xiaolong [3 ]
Ni, Qiang [4 ]
机构
[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Peoples R China
[2] Nanjing Univ, Dept Comp Sci & Technol, Nanjing, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing, Peoples R China
[4] Univ Lancaster, Sch Comp & Commun, InfoLab21, Lancaster, England
基金
中国国家自然科学基金;
关键词
Blockchain; Mobility deadline; Fog computing; Computation offloading; CLOUD; ALGORITHM; INTERNET; BITCOIN; DELAY; EDGE;
D O I
10.1016/j.comcom.2020.10.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile users could offload some computations from the mobile devices to the nearby geo-distributed Fog servers which are provided by Fog computing infrastructure to release the computation workloads, and therefore improve quality of experience for themselves. However, mobile users may mistakenly offload their computations to the Fog servers which have been injected by some attackers, and these compromised Fog servers would possibly establish man-in-the-middle attack during the offloading procedure, and therefore induce privacy leaking and security issues. Meanwhile, as most of mobile users have natural mobility features, there still needs mobility-aware offloading technique for improving the offloading efficiency. Also, for Fog computing provider, to charge service fees for offloading service in a distributed fashion is necessary for providing geo-distributed offloading service. All of these challenges above motivate us to bring blockchain technique into Fog computing so as to verify authenticity of each Fog server. Hence, we propose a new Blockchain-based Mobility-aware Offloading (i.e., BMO) mechanism in this paper and we modeled the offloading problem in our proposed environment. Concretely, our BMO constantly maintains a set of candidate authorized Fog servers by leveraging blockchain, and the offloading decision could be made in a real-time fashion in mobile devices according to mobility prediction of users. Experimental results have demonstrated the feasibility and efficiency of BMO.
引用
收藏
页码:261 / 273
页数:13
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