Blockchain Node Intelligence Based onDecentralized Framework

Title

Blockchain Node Intelligence Based onDecentralized Framework

Creator

Sinha, Shyam Kumar; Mukhopadhyay, Debarka

Description

Blockchain enhances transparency, transaction speed, and governance reliability for organizations such as manufacturing and supply chain organizations by operating in decentralized environments. Supply chain traceability involves tracking products from their origin to customers, requiring transparency, authenticity, and high efficiency. This paper tries to address the performance gain and challenges in blockchain-based supply chain by making efficient use of on-prem and cloud environments in the blockchain network. As the volume of data being generated in blockchain network continues to grow, data security and performance become increasingly critical. Many existing big data security systems rely on controlled third-party providers, making them vulnerable to various security risks. Blockchain technology offers a promising solution by addressing key challenges such as scalability, immutability, trust, data governance, and transparency, thereby enhancing the protection of personal information. This work focuses on assessment of blockchain processing performance through on-prem, distributed, and decentralized environments and possibility of blockchain nodes to have intelligence, optimized processing capabilities by gaining appropriate infrastructure. We analyze the key challenges of blockchain when execution happens in a standalone system than in scalable ones. We tested a few popular mining processes on cloud platforms and a local system to assess execution speed and discuss a suitable platform to host blockchain. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Source

Communications in Computer and Information Science;Volume;2861 CCIS;pp.303-316

Date

01-01-2026

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Blockchain; Blockchain intelligence; Distributed storage; Node intelligence

Coverage

Sinha S.K., Department of Computer Science and Engineering, Christ University, Bangalore, India; Mukhopadhyay D., Department of Computer Science and Engineering, Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 18650929; ISBN: 978-303217180-1;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-3-032-17181-8_22

https://www.scopus.com/pages/publications/105039286142?origin=resultslist