Mixed fault tolerance in server assignment: Combining reinforcement and backup

Tal Navon, David Peleg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We study the mixed approach to fault tolerance in the general context of server assignment in networks. The approach is based on mixing two different existing strategies, namely, reinforcement and backup. The former strategy protects clients by reinforcing the servers assigned to them and making them fault-resistant (at a possibly high cost), while the latter protects clients by assigning to them alternate low price backup servers that can replace their primary servers in case those fail. Applying the mixed approach to fault tolerance gives rise to new fault-tolerant variations of known server assignment problems. We introduce several NP-hard problems of this type, including the mixed fault-tolerant dominating set problem, the mixed fault-tolerant centers problem, and the mixed fault-tolerant facility location problem, and present polynomial time approximation algorithms for them, demonstrating the viability of the mixed strategy for server assignment problems.

Original languageEnglish
Title of host publication25th International Colloquium, SIROCCO 2018, Revised Selected Papers
EditorsZvi Lotker, Boaz Patt-Shamir
PublisherSpringer Verlag
Pages249-263
Number of pages15
ISBN (Print)9783030013240
DOIs
StatePublished - 31 Oct 2018
Event25th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2018 - Ma’ale HaHamisha, Israel
Duration: 18 Jun 201821 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11085

Conference

Conference25th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2018
Country/TerritoryIsrael
CityMa’ale HaHamisha
Period18/06/1821/06/18

Keywords

  • Approximation
  • Backup Reinforcement
  • Dominating set Centers
  • Facility location
  • Fault tolerance
  • Server assignment problems

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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