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Several distributed services ranging from key‐value stores to cloud storage require fault‐tolerance and reliability features. For enabling fast recovery and seamless transition, primary‐backup replication protocols are widely used in different application settings including distributed databases, web services, and the Internet of Things. In this study, we elaborate the ways of enhancing the efficiency...
The prominent cloud services rely on geographically distributed nodes running replication and other fault-tolerance mechanisms so as to provide flawless availability and dependability. In this paper, we address the communication cost of the well known primary-backup replication protocol, and propose compressed periodic incremental checkpoint algorithms to achieve improved throughput. We set up a replicated...
Replication is useful for supporting fault-tolerance, reliable and recovery oriented distributed systems. Popular application areas include databases, P2P systems, web services and Internet of Things. In this study, we propose utilizing the checkpointing concept for improving the efficiency of the well-known primary-backup replication protocol in distributed systems. We developed a software framework...
Replication protocols are widely used for enabling fault tolerance and reliability features in distributed systems aiming fast recovery and seamless transition. In this study, we propose an efficient incremental checkpoint algorithm for primary-backup replication protocols to increase the system throughput. We developed an in-memory key-value store configured by the primary-backup replication protocol...
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