In this work, we propose a reconfigurable blockchain (BC)—“PerBlocks”—for handling data from heterogeneous activities and achieving scalability as well as throughput in the industrial environment. Typically, industries deal with the pervasive deployment of various sensors, resulting in heterogeneous data with varying services. The adoption of conventional BC satisfies transparency, immutability, and security. However, static block size and stringent consensus algorithms are unable to serve the needs of heterogeneous activities. In order to resolve this, we propose reconfigurable service-oriented BC, which dynamically selects the consensus algorithm and block size according to the requirement of heterogeneous activities. Through experimental results, we demonstrate that the proposed method can utilize the resources efficiently and provide user-oriented services as well as scalability. In particular, the proposed method uses 28.2% CPU and 82% memory while reducing response time by 6%, compared to a conventional BC and improving the quality of services by 60%.
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Tapwal et al. (2023) studied this question.
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