On page migration and other relaxed task systems

Yair Bartal*, Moses Charikar, Piotr Indyk

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

17 Scopus citations

Abstract

The page migration problem is studied as part of a large class of on-line problems. The problem involves the management of pages residing in a network of processors and making decisions about when and where to migrate the page in order to lower access costs. A relaxed task systems model is considered. The model obtains deterministic O(c2) and randomized O(c) competitive algorithms for a relaxed task system. The first deterministic algorithms for k-page migration are obtained using k-server algorithms, and for network leasing by using generalized Steiner tree algorithms. Solutions for natural generalizations of other problems such as storage rearrangement are also presented.

Original languageAmerican English
Pages43-52
Number of pages10
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1996 8th Annual ACM-SIAM Symposium on Discrete Algorithms - New Orleans, LA, USA
Duration: 5 Jan 19977 Jan 1997

Conference

ConferenceProceedings of the 1996 8th Annual ACM-SIAM Symposium on Discrete Algorithms
CityNew Orleans, LA, USA
Period5/01/977/01/97

Bibliographical note

Funding Information:
∗Corresponding author. E-mail addresses: yairb@icsi.berkeley.edu (Y. Bartal), moses@cs.stanford.edu (M. Charikar), indyk@cs.stanford.edu (P. Indyk). 1Research supported in part by the Rothschild Postdoctoral fellowship and by the National Science Foundation operating grants CCR-9304722 and NCR-9416101. 2Research supported in part by Stanford School of Engineering Groswith Fellowship, and by NSF Award CCR-9357849, with matching funds from IBM, Mitsubishi, Schlumberger Foundation, Shell Foundation, and Xerox Corporation. 3Research supported by NSF Award CCR-9357849, with matching funds from IBM, Mitsubishi, Schlumberger Foundation, Shell Foundation, and Xerox Corporation.

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