Abstract
Advances in blockchain technologies like the introduction of smart contracts and providing alternative solutions to payment systems have given rise to the idea of using blockchain and smart contracts as a backbone for distributed supercomputing. Just like IPFS is used for distributed storage over the Internet, the concept of distributing computing safely came into existence. Distributed supercomputing is not new but using blockchain technology as a way of registering and rewarding the participating computers and users is novel. Here, we analyse four of the many projects, namely Gridcoin, Golem, SONM and iExec and point out their strengths and failings.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Zawistowski J (2016) The GOLEM Project. Golem Whitepaper 28
sonm-whitepaper @ whitepaper.io. https://whitepaper.io/document/326/sonm-whitepaper
Gridcoin: the computation power of a blockchain driving science and data analysis, pp 1–12
Fedak G, He H, Moca M, Bendella W (2018) Eduardo Alves: iExec—blockchain-based decentralized cloud computing, p 40
Anderson D, Cobb J, Korpela E, Lebofsky M (2002) SETI @ home. Commun ACH 45:56–61
Eze K (2018) High-throughput computing, pp 2–4
Thain D, Tannenbaum T, Livny M (2005) Distributed computing in practice the condor experience. Concurrency comput Practice Exp
Anderson DP (2004) BOINC: a system for public-resource computing and storage. In: IEEE/ACM International Workshop on Grid Computing, pp 4–10 (2004). https://doi.org/10.1109/GRID.2004.14
SETI@home. https://setiathome.berkeley.edu/
Anderson DP (2018) BOINC: a platform for volunteer computing, pp 1– 37
Taufer M, An C, Kerstens A, Brooks CL (2006) PredictorHome: a protein structure prediction supercomputer based on global computing. IEEE Trans Parallel Distrib Syst 17:786–796. https://doi.org/10.1109/TPDS.2006.110
Folding@Home. https://foldingathome.org/, last accessed 30 Dec 2019
Climateprediction.net. Last accessed 30 Dec 2019
Xu C, Yang C, Li J, Sun M, Bambacus M (2011) Climate@Home: crowdsourcing climate change research
LHC@Home. http://lhcathome.web.cern.ch/
Rosetta@Home. http://boinc.bakerlab.org/rosetta/. Last accessed 30 Dec 2019
Einstein@Home. https://einsteinathome.org/
BOINC Client. https://boinc.berkeley.edu/wiki/BOINC_Client
O’Dwyert KJ, Malone D (2014) Bitcoin mining and its energy footprint. IET Conf Publ 2014:280–285. https://doi.org/10.1049/cp.2014.0699
Chohan U (2018) Environmentalism in cryptoanarchism: Gridcoin case study. SSRN Electron J. https://doi.org/10.2139/ssrn.3131232
Alahmad MA, Al-Saleh A (2018) AlMasoud FA (2018) Comparison between PoW and PoS systems of cryptocurrency. Indones J Electr Eng Comput Sci 10:1251–1256 https://doi.org/10.11591/ijeecs.v10.i3.pp1251-1256
Proof of Research—Gridcoin. https://en.wikipedia.org/wiki/Gridcoin
Wood G (2017) Ethereum: a secure decentralised generalised transaction ledger. EIP-150 REVISION. 2017, p 33
Benet J (2014) IPFS—content addressed, versioned, P2P file system
Fog Computing. https://en.wikipedia.org/wiki/Fog_computing
ERC-20 Token. https://en.wikipedia.org/wiki/ERC-20#Technical_standard
SONM Smart Contracts. https://docs.sonm.com/concepts/underlying-technologies/smart-contracts
INRIA. https://www.inria.fr/en/. Last accessed 11 Nov 2019
CNRS. http://www.cnrs.fr/. Last accessed 11 Nov 2019
XtremWeb-HEP: middleware for distributed data processing. https://www.projet-plume.org/en/relier/xtremweb-hep
Smart Contract. https://en.wikipedia.org/wiki/Smart_contract
Request for Comments. https://en.wikipedia.org/wiki/Request_for_Comments
Internet Engineering Task Force. https://en.wikipedia.org/wiki/Internet_Engineering_Task_Force
Newsome J, Shi E, Song D, Perrig A (2004) The sybil attack. 259: https://doi.org/10.1145/984622.984660
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kondru, K.K., Saranya, R., Chacko, A. (2021). A Review of Distributed Supercomputing Platforms Using Blockchain. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_13
Download citation
DOI: https://doi.org/10.1007/978-981-15-4218-3_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-4217-6
Online ISBN: 978-981-15-4218-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)