New Approximation Results for Resource Replication Problems

Samir Khuller, Barna Saha, Kanthi K. Sarpatwar*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In the Basic Resource Replication problem, we are given a graph, embedded into a distance metric, and a set of data items. The goal is to assign one data item to each vertex so as to minimize the maximum distance any vertex has to travel to access all the data items. We consider several variants of this problem in this paper, and propose new approximation results for them. These problems are of fundamental interest in the areas of P2P networks, sensor networks and ad hoc networks, where placement of replicas is the main bottleneck on performance. We observe that the threshold graph technique, which has been applied to several (Formula presented.) -center type problems, yields simple and efficient approximation algorithms for resource replication problems. Our results range from positive (efficient, small constant factor, approximation algorithms) to extremely negative (impossibility of existence of any algorithm with non-trivial approximation guarantee, i.e., with positive approximation ratio) for different versions of the problem.

Original languageEnglish (US)
Pages (from-to)969-991
Number of pages23
Issue number3
StatePublished - Mar 1 2016


  • Approximation algorithms
  • Hardness of approximation
  • Resource replication problems

ASJC Scopus subject areas

  • General Computer Science
  • Computer Science Applications
  • Applied Mathematics


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