A blockchain-enabled scalable and secure architecture for cloud big data storage using sharding and swarming

Cloud computing enables on-demand access to centralized resources, including applications, networks, and storage, while big data and blockchain technology drive innovation in data management. The rapid growth of data stored in the cloud poses significant challenges, such as ensuring scalability, real-time analytics, and compliance with regulatory frameworks. Big data systems often struggle with elasticity, as many current solutions fail to provide rapid scalability under fluctuating workloads. To address these challenges, blockchain technology integrates big data storage in the cloud, creating a secure and efficient framework. Blockchain offers cryptographically secure, decentralized data management that enhances the reliability and value of big data for analysis. The novel architecture integrates sharding and swarming techniques to overcome the scalability limitations of blockchain-based big data systems and sharding partitions data into smaller fragments stored and accessed using unique partition keys, improving manageability and reducing system load. Swarming complements this approach by enabling parallel data retrieval from the fastest and nearest nodes, minimizing latency and enhancing access speed. An optimized Proof of Work (PoW) mechanism further ensures computational fairness and reduces energy consumption, addressing critical efficiency concerns. This integration of blockchain with cloud-based big data storage provides a transformative solution for secure, scalable, and high-performance data management, advancing decentralized applications and analytics capabilities.