A Fault-Tolerant Algorithm for Replicated Data Management

  • Authors:
  • Sampath Rangarajan;Sanjeev Setia;Satish K. Tripathi

  • Affiliations:
  • -;-;-

  • Venue:
  • IEEE Transactions on Parallel and Distributed Systems
  • Year:
  • 1995

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Abstract

In this paper, we examine the tradeoff between message overhead and data availability that arises in the design of fault-tolerant algorithms for replicated data management in distributed systems. We propose a property called asymptotically high resiliency which is useful for evaluating the fault-tolerance of replica control algorithms and distributed mutual exclusion algorithms. We present a new algorithm for replica control that can be tailored (through a design parameter) to achieve the desired balance between low message overhead and high data availability. Further, we show that for a message overhead of ${\bf O}(\sqrt{N{\rm log}N})$, our algorithm can achieve asymptotically high resiliency.