Content and service replication strategies in multi-hop wireless mesh networks

  • Authors:
  • Shudong Jin;Limin Wang

  • Affiliations:
  • Case Western Reserve University, Cleveland, OH;Case Western Reserve University, Cleveland, OH

  • Venue:
  • MSWiM '05 Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
  • Year:
  • 2005

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Abstract

Emerging multi-hop wireless mesh networks have much different characteristics than the Internet. They have low dimensionality and large diameters. Content and service replication can greatly improve their scalability. However, replication strategies in such networks have not been well studied. This paper studies the optimality of replication strategies and explores it in multi-hop wireless mesh networks for the first time. We start with the problem of determining the optimal numbers of replicas for a set of objects which have distinct probabilities of being requested in large 2-D mesh networks. We reveal the structure of the optimal replication strategy to minimize object access cost. To minimize average cost to access an object in 2-D mesh networks, the optimal strategy replicates an object such that the number of its replicas is proportional to p0.667, where p is the access probability of the object. This result indicates the inefficiency of demand-driven content and service replication in 2-D mesh networks, where an object is replicated such that the number of its replicas is proportional to p. We further study practical, online algorithms to approximate the optimal strategy. Interestingly, the optimal replication can be approximated well by a localized replacement algorithm. The algorithm utilizes only handy information and incurs no communication overhead. The paper demonstrates a significant performance gain by the optimal strategy, and the effectiveness of the online replacement algorithm.