Presentation 2014-03-07
Server Location Method for Keeping Shorter Distance from Clients to Servers during Failures
Nao MAEDA, Hiroyoshi MIWA,
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Abstract(in English) Recently, large contents in the Internet have increased loads of contents servers, networks and data centers which may degrade the quality of service. To overcome this problem, some mirror servers providing the same contents are located on a network and a request is navigated to one of the mirror servers. Moreover, the network should have a communication to one of the servers and the hop length of a path from a user to a server should be short even during link failure. As it affects the performance, the location of the mirror servers is important. In this paper, we address the server location problem, which determines the location of the servers satisfying the following the constraint: any users can access servers within a small hop count even if some links fails. First, we formulate this problem and prove that it is NP-hard. Second, we present a polynomial-time algorithm to solve this problem when the number of simultaneously failed links is restricted to one and evaluate the performance of actual ISP network topologies by the algorithm from the viewpoint of the number of servers. Furthermore, we also present an approximation algorithm to solve this problem when the number of servers to be accessed is restricted to one and the number of simultaneously failed links is fixed, and evaluate the performance by using some actual network topologies.
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Keyword(in English) Network / Graph theory / Computational complexity / Link failures / Server allocation / NP-hard / Polynomial-time algorithm / Approximate algorithm
Paper # NS2013-243
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Committee NS
Conference Date 2014/2/27(1days)
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Registration To Network Systems(NS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Server Location Method for Keeping Shorter Distance from Clients to Servers during Failures
Sub Title (in English)
Keyword(1) Network
Keyword(2) Graph theory
Keyword(3) Computational complexity
Keyword(4) Link failures
Keyword(5) Server allocation
Keyword(6) NP-hard
Keyword(7) Polynomial-time algorithm
Keyword(8) Approximate algorithm
1st Author's Name Nao MAEDA
1st Author's Affiliation Graduate School of Science and Technology, Kwansei Gakuin University()
2nd Author's Name Hiroyoshi MIWA
2nd Author's Affiliation Graduate School of Science and Technology, Kwansei Gakuin University
Date 2014-03-07
Paper # NS2013-243
Volume (vol) vol.113
Number (no) 472
Page pp.pp.-
#Pages 6
Date of Issue