Rahasak—Scalable blockchain architecture for enterprise applications

Bandara, Eranga; Liang, Xueping; Foytik, Peter; Shetty, Sachin; Ranasinghe, Nalin; De Zoysa, Kasun

doi:10.1016/j.sysarc.2021.102061

Rahasak—Scalable blockchain architecture for enterprise applications

Journal Article · Tue Jun 01 04:00:00 EDT 2021 · Journal of Systems Architecture

DOI:https://doi.org/10.1016/j.sysarc.2021.102061· OSTI ID:1849306

Bandara, Eranga ^[1]; Liang, Xueping ^[2]; Foytik, Peter ^[3]; Shetty, Sachin ^[3]; Ranasinghe, Nalin ^[4]; De Zoysa, Kasun ^[4]

Old Dominion Univ., Norfolk, VA (United States); Old Dominion Univ., Norfolk, VA (United States)
Univ. of North Carolina, Greensboro, NC (United States)
Old Dominion Univ., Norfolk, VA (United States)
Univ. of Colombo School of Computing (UCSC) (Sri Lanka)

Blockchain-based decentralized infrastructure has been adapted in various industries to handle the sensitive data in a privacy-preserving manner without trusting third parties. However, integrating state-of-the-art blockchain platforms with the scalable, enterprise-level applications result in several challenges. Current blockchain platforms do not support high transaction throughput, lack high scalability, and cannot provide real-time transaction processing and back-pressure operation handling in high transaction throughput applications(e.g Big data, IoT). In this paper, we propose a novel permissioned blockchain platform “Rahasak” for highly scalable, enterprise applications. Rahasak blockchain adopts the Apache Kafka-based consensus on top of a “Validate-Execute-Group” blockchain architecture to handle realtime transaction execution on the blockchain. The architecture is equipped with a functional programming and actor-based smart contract platform that enables concurrent execution of transactions in the blockchain. Rahasak supports high transaction throughput, high scalability, concurrent transaction execution, data analytics features. Finally, with Rahasak, we make blockchain more scalable, secure, structured and meaningful for further data analytics.

View Accepted Manuscript (DOE)

Research Organization:: Old Dominion Univ., Norfolk, VA (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE)

Grant/Contract Number:: FE0031744

OSTI ID:: 1849306

Alternate ID(s):: OSTI ID: 1780339

Journal Information:: Journal of Systems Architecture, Journal Name: Journal of Systems Architecture Journal Issue: C Vol. 116; ISSN 1383-7621

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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