Paper Info
Title
Cloud/Edge Computing Service Management in Blockchain Networks: Multi-Leader Multi-Follower Game-Based ADMM for Pricing
Abstract
The mining process in public blockchains with the Nakamoto consensus protocol requires solving a computational puzzle, i.e., proof-of-work, which is resource expensive to implement in lightweight devices with limited computing resources and energy. Thus, renting mining service from cloud providers becomes a reasonable solution, which is called cloud mining. This enables users who want to mine, i.e., miners, to purchase and lease an amount of hashing power from the cloud/edge providers without any hassle of managing the infrastructure. In this paper, we study the interactions among the cloud/edge providers and miners in blockchain using a multi-leader multi-follower game-theoretic approach, in order to support proof-of-work based blockchains application. Due to the inherent complexity of the formulated game, we employ the Alternating Direction Method of Multipliers (ADMM) algorithm to investigate the optimum solution. Utilizing the decomposition characteristics and fast convergence of ADMM, we obtain the optimum results in a distributed manner. Simulation results demonstrate that with the proposed solutions, the optimization of the utilities of miners and the profits of providers can be jointly achieved.
Year
DOI
Venue
2020
10.1109/TSC.2019.2947914
IEEE Transactions on Services Computing
Keywords
DocType
Volume
Games,Convex functions,Cloud computing,Pricing,Bitcoin
Journal
13
Issue
ISSN
Citations 
2
1939-1374
10
PageRank 
References 
Authors
0.44
0
5
Name
Order
Citations
PageRank
Zehui Xiong158654.94
Jiawen Kang254331.46
Niyato Dusit39486547.06
Ping Wang44153216.93
H. V. Poor5254111951.66