Metrical Service Systems with Multiple Servers
DSpace at IIT Bombay
View Archive InfoField | Value | |
Title |
Metrical Service Systems with Multiple Servers
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Creator |
CHIPLUNKAR, A
VISHWANATHAN, S |
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Subject |
RANDOMIZED ALGORITHMS
VERTEX COVER K-SERVERS ONLINE k-server Metrical service system Online Approximation |
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Description |
The problem of metrical service systems with multiple servers (-MSSMS), proposed by Feuerstein (LATIN'98: Theoretical Informatics, Third Latin American Symposium, 1998), is to service requests, each of which is an -point subset of a metric space, using servers in an online manner, minimizing the distance traveled by the servers. We prove that Feuerstein's deterministic algorithm for -MSSMS actually achieves an improved competitive ratio of on uniform metrics. In the randomized online setting on uniform metrics, we give an algorithm which achieves a competitive ratio , beating the deterministic lower bound of . We prove that any randomized algorithm for -MSSMS on uniform metrics must be -competitive. For the offline -MSSMS, we give a factor pseudo-approximation algorithm using servers on any metric space, and prove a matching hardness result, that a pseudo-approximation using less than servers is unlikely, even on uniform metrics.
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Publisher |
SPRINGER
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Date |
2016-01-14T11:00:10Z
2016-01-14T11:00:10Z 2015 |
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Type |
Article
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Identifier |
ALGORITHMICA, 71(1)219-231
0178-4617 1432-0541 http://dx.doi.org/10.1007/s00453-014-9903-7 http://dspace.library.iitb.ac.in/jspui/handle/100/17421 |
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Language |
en
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