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[期刊论文]

Improved approximation algorithms for constrained fault-tolerant resource allocation

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author:

Liao, K. (Liao, K..) [1] | Shen, H. (Shen, H..) [2] | Guo, L. (Guo, L..) [3]

Indexed by:

Scopus

Abstract:

In Constrained Fault-Tolerant Resource Allocation (FTRA) problem, we are given a set of sites containing facilities as resources and a set of clients accessing these resources. Each site i can open at most Ri facilities with opening cost fi. Each client j requires an allocation of rj open facilities and connecting j to any facility at site i incurs a connection cost cij. The goal is to minimize the total cost of this resource allocation scenario. FTRA generalizes the Unconstrained Fault-Tolerant Resource Allocation (FTRA∞) [1] and the classical Fault-Tolerant Facility Location (FTFL) [2] problems: for every site i, FTRA∞ does not have the constraint Ri, whereas FTFL sets Ri=1. These problems are said to be uniform if all rj's are the same, and general otherwise. For the general metric FTRA, we first give an LP-rounding algorithm achieving an approximation ratio of 4. Then we show the problem reduces to FTFL, implying the ratio of 1.7245 from [3]. For the uniform FTRA, we provide a 1.52-approximation primal-dual algorithm in O(n4) time, where n is the total number of sites and clients. © 2015 Elsevier B.V.

Keyword:

Approximation algorithms; LP-rounding; Primal-dual; Reduction; Resource allocation; Time complexity

Community:

  • [ 1 ] [Liao, K.]School of Computer Science, The University of Adelaide, Adelaide, Australia
  • [ 2 ] [Shen, H.]School of Computer Science, The University of Adelaide, Adelaide, Australia
  • [ 3 ] [Shen, H.]School of Computer and Information Technology, Sun Yat-sen University, Guangzhou, China
  • [ 4 ] [Guo, L.]School of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Shen, H.]School of Computer Science, The University of AdelaideAustralia

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Source :

Theoretical Computer Science

ISSN: 0304-3975

Year: 2015

Volume: 590

Page: 118-128

0 . 6 4 3

JCR@2015

0 . 9 0 0

JCR@2023

ESI HC Threshold:175

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

30 Days PV: 0

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