CollabChain: Blockchain-Backed Trustless Web-Based Volunteer Computing Platform

Bharadwaj, K. S. Sagar; Dharanikota, Samvid; Honawad, Adarsh; Chandrasekaran, K.

doi:10.1007/978-3-030-28957-7_42

Cited by 2 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CollabChain [36] is a browser-based volunteer platform that relies on blockchain technology to provide a trusted environment and foster users to make their resources available to the network. CollabChain is based on a P2P overlay network and defines three types of nodes: submitters, executors, and coordinators.…”

Section: N/c Mapreducementioning

confidence: 99%

A Volunteer Computing Architecture for Computational Workflows on Decentralized Web

et al. 2022

View full text Add to dashboard Cite

The amount of accessible computational devices over the Internet offers an enormous but latent computational power. Nonetheless, the complexity of orchestrating and managing such devices requires dedicated architectures and tools and hinders the exploitation of this vast processing capacity. Over the last years, the paradigm of (Browser-based) Volunteer Computing emerged as a unique approach to harnessing such computational capabilities, leveraging the idea of voluntarily offering resources. This article proposes VFuse, a groundbreaking architecture to exploit the Browser-based Volunteer Computing paradigm via a ready-to-access volunteer network. VFuse offers a modern multi-language programming environment for developing scientific workflows using WebAssembly technology without requiring the user any local installation or configuration. We equipped our architecture with a secure and transparent rewarding mechanism based on blockchain technology (Ethereum) and distributed P2P file system (IPFS). Further, the use of Non-Fungible Tokens provides a unique, secure, and transparent methodology for recognizing the users' participation in the network. We developed a prototype of the proposed architecture and four example applications implemented with our system. All code and examples are publicly available on GitHub.

show abstract

Section: N/c Mapreducementioning

confidence: 99%