Efficient utilization of big data using distributed storage, parallel processing, and blockchain technology

Giuliano, Alessandro; Hilal, Waleed; Alsadi, Naseem; Surucu, Onur; Gadsden, S. Andrew; Yawney, John; Ziada, Youssef

doi:10.1117/12.2618891

Cited by 2 publications

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“…Big data-driven applications demand more intelligent decision-making to allow for more flexible and efficient operations through cooperative self-organized and self-optimized behaviors [144], [145]. As such, many frameworks have been proposed to improve IoT systems' decision-making capabilities to manage the flow of information and responsive action more effectively [142].…”

Section: A Background and Motivationmentioning

confidence: 99%

Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances

2023

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Section: A Background and Motivationmentioning

confidence: 99%

Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances

2023

Self Cite

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“…Smart contracts, particularly Ethereum's PoA, facilitate secure data transactions, reducing risks [7]. Integrating IPFS enhances the framework by providing efficient data sharding and retrieval [9]. IPFS allows decentralized data storage, reducing reliance on centralized solutions and mitigating associated risks [10][11].…”

Section: Introductionmentioning

confidence: 99%

Blockchain-enabled Data Governance Framework for Enhancing Security and Efficiency in Multi-Cloud Environments through Ethereum, IPFS, and Cloud Infrastructure Integration

Sanjay Kanth Balachandar

2024

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In today's digital landscape, the exponential growth of big data demands secure and efficient processing, particularly in complex multi-cloud environments. This paper proposes an innovative blockchain-enabled data governance framework, revolutionizing data management, processing, and security across diverse cloud infrastructures. The framework integrates cutting-edge technologies, including the Ethereum blockchain, the InterPlanetary File System (IPFS) protocol, and cloud solutions like OpenStack and Red Hat OpenShift. At its core, the framework utilizes Ethereum's robust smart contracts and consensus mechanisms to establish a decentralized and secure data governance model. This ensures data integrity, transparency, and immutability, mitigating risks associated with centralized storage and processing. The IPFS protocol complements blockchain by offering efficient data sharding and retrieval mechanisms, enhancing data accessibility and fault tolerance in distributed cloud environments. Through comprehensive testing and analysis, the proposed framework's value is demonstrated. Performance metrics, including throughput, latency, CPU utilization, and memory utilization, were meticulously evaluated to assess system efficiency and scalability. Results indicate high performance, with Ethereum's Proof of Authority (PoA) consensus mechanism enabling efficient transaction throughput of up to 1000 transactions per second. Additionally, the IPFS protocol exhibits effective data retrieval capabilities, with an average latency of 15 milliseconds for data access operations.

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Efficient utilization of big data using distributed storage, parallel processing, and blockchain technology

Cited by 2 publications

References 0 publications

Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances

Cognitive Dynamic Systems: A Review of Theory, Applications, and Recent Advances

Blockchain-enabled Data Governance Framework for Enhancing Security and Efficiency in Multi-Cloud Environments through Ethereum, IPFS, and Cloud Infrastructure Integration

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