2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) 2019
DOI: 10.1109/icdcs.2019.00133
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Hierarchical Edge-Cloud Computing for Mobile Blockchain Mining Game

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Cited by 20 publications
(10 citation statements)
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References 15 publications
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“…In [130], a blockchain-based resource allocation scheme is proposed in UAV-enabled edge computing environment, where the resources are allocated between edge computing stations (ECSs) Edge computing can be used to derive an optimal resource allocation scheme for blockchain mining tasks. In [131], a hierarchical Edge-Cloud computation offloading scheme is presented to obtain optimal resource pricing strategies by using game theory and RL technique. In [132], the Multi-leader Multi-follower game is used to formulate the interactions between miners and cloud / edge providers, and an Alternating Direction Method of Multipliers (ADMM) algorithm is adopted to cope with the standard Equilibrium Problem with Equilibrium Constraints (EPEC) challenge caused by the high dimensionality of each miner's strategy space, thereby obtaining the maximum profits of providers in consideration of utilities of miners.…”
Section: Edge Computing-enabled Blockchainmentioning
confidence: 99%
See 1 more Smart Citation
“…In [130], a blockchain-based resource allocation scheme is proposed in UAV-enabled edge computing environment, where the resources are allocated between edge computing stations (ECSs) Edge computing can be used to derive an optimal resource allocation scheme for blockchain mining tasks. In [131], a hierarchical Edge-Cloud computation offloading scheme is presented to obtain optimal resource pricing strategies by using game theory and RL technique. In [132], the Multi-leader Multi-follower game is used to formulate the interactions between miners and cloud / edge providers, and an Alternating Direction Method of Multipliers (ADMM) algorithm is adopted to cope with the standard Equilibrium Problem with Equilibrium Constraints (EPEC) challenge caused by the high dimensionality of each miner's strategy space, thereby obtaining the maximum profits of providers in consideration of utilities of miners.…”
Section: Edge Computing-enabled Blockchainmentioning
confidence: 99%
“…For the purpose of achieving maximum average profit of transcoding service, the ADMM-based solution is proposed in form of smart contracts Proposing a resources pricing and trading scheme by using Stackelberg game. Game Theory [131] Resource Pricing…”
Section: A Resource Management For Ibecmentioning
confidence: 99%
“…In [15], dynamic resource allocation by combinatorial auction is mainly concentrated and the CA-PROVISION algorithm is used for providing pricing strategies. In [16], authors present a two-layer computation offloading paradigm that includes an edge computing provider (ECP) and a cloud computing provider (CCP) to jointly maximize the profits of each service provider and the payoffs of individual miners. In [17], a new model-free deep reinforcement learning-based online computation offloading approach was proposed for blockchainempowered mobile edge computing in which both mining tasks and data processing tasks are considered.…”
Section: Related Workmentioning
confidence: 99%
“…(15) back into Eq. (12) and Eq. 13gives the explicit form of the solution to the OP miner problem, i.e., each miner's best response strategy.…”
Section: Run Strategymentioning
confidence: 99%
“…To this end, researchers have developed distributed decision making methodologies. In the field of mobile blockchain mining offloading [12,18,32], there are few works and most of them are in the PoW-mining scenario where mobile miners only offload their computation to a service provider. In our paper, we consider mining based on a PoC mechanism, thereby storage offloading, instead of computation offloading, becomes the core.…”
Section: Game Theory In Offloading Mechanismmentioning
confidence: 99%