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Blockchain-based incentive management framework for desktop clouds

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Abstract

Desktop clouds connect several desktop computers into a cloud computing architecture to reap the potential of untapped commodity computing power over the Internet. In desktop clouds, what benefit (incentive) a participant will get for sharing its computational resources, and how participants will contribute (pay) after consuming computational resources from other participants. This inexistence of monetary incentives hinders the widespread adoption of desktop clouds as there is no motivation for the participants to join and remain in the desktop cloud environment. In this article, we propose a decentralized escrow approach over the ethereum blockchain for enhancing the expectation of a participating node to join and offer services in desktop cloud networks. We then propose a distributed multi-agent framework for desktop cloud environments. Moreover, we present the agents’ full algorithmic behavior with their interaction to the escrow over the ethereum smart contract. The proposed framework provides monetary incentives using blockchain-based cryptocurrencies managed through decentralized escrow over ethereum smart contract to the desktop cloud participants in a trusted manner. Lastly, we present simulation results from a testbed verifying the monetization of desktop cloud participants in the proposed framework.

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Data Availability Statement

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request. Furthermore, The source code of the current study are available from the corresponding author on reasonable request.

Notes

  1. https://github.com/abdullahyousafzai/Incentivizations/blob/main/AdhocEscrow.sol.

  2. https://jade.tilab.com/.

  3. https://github.com/web3j/web3j.

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Acknowledgements

This work was supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) Grant funded by the Korea government (MSIT) (No. 2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing) and by the MSIT under the Grand Information Technology Research Center support program (IITP-2020-2015-0-00742) supervised by the IITP. Dr. CS Hong is the corresponding author.

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Authors and Affiliations

  1. School of Electronics and Information, Kyung Hee University, Seoul, Republic of Korea

    Abdullah Yousafzai, Priyan Malarvizhi Kumar & Choong Seon Hong

  2. University of Management and Technology, Lahore, Pakistan

    Abdullah Yousafzai

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  1. Abdullah Yousafzai
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  2. Priyan Malarvizhi Kumar
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  3. Choong Seon Hong
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All authors have participated in (a) conception and design, or analysis and interpretation of the data; (b) drafting the article or revising it critically for important intellectual content; and (c) approval of the final version.

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Correspondence to Abdullah Yousafzai.

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This study does not involve any human or animal subject for experiments.

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Yousafzai, A., Kumar, P.M. & Hong, C.S. Blockchain-based incentive management framework for desktop clouds. Cluster Comput 26, 137–156 (2023). https://doi.org/10.1007/s10586-022-03557-8

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