Developing Consensus Algorithms for High Availability in Blockchain-Based Distributed Systems
Keywords:
Blockchain, Consensus Algorithm, High Availability, Byzantine Fault Tolerance, Raft, PBFT, Scalability, Distributed SystemsAbstract
This paper investigates the design and optimization of consensus algorithms to achieve high availability in blockchain-based distributed systems. It addresses the operational challenges that arise from decentralized control, heterogeneous network environments, and adversarial node behaviors. The study evaluates classical and modern consensus protocols, outlining their strengths and limitations in maintaining continuous system functionality. A structured framework is proposed to enhance leader election, quorum formation, timeout management, and communication efficiency. The framework supports adaptive tuning of consensus parameters to handle varying network delays and fault scenarios. Performance analysis indicates that streamlined message flows and dynamic view changes significantly reduce system downtime.
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