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

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abstract

  • As data collected through IoT systems worldwide increases and the deployment of IoT architectures is expanded across multiple domains, novel frameworks that focus on application-based criteria and constraints are needed. In recent years, big data processing has been addressed using cloud-based technology, although such implementations are not suitable for latency-sensitive applications. Edge and Fog computing paradigms have been proposed as a viable solution to this problem, expanding the computation and storage to data centers located at the network's edge and providing multiple advantages over sole cloud-based solutions. However, security and data integrity concerns arise in developing IoT architectures in such a framework, and blockchain-based access control and resource allocation are viable solutions in decentralized architectures. This paper proposes an architecture composed of a multilayered data system capable of redundant distributed storage and processing using encrypted data transmission and logging on distributed internal peerto- peer networks.

publication date

  • May 31, 2022