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On competitive online read-many parallel disks scheduling
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Source ACM Symposium on Parallel Algorithms and Architectures archive
Proceedings of the seventeenth annual ACM symposium on Parallelism in algorithms and architectures table of contents
Las Vegas, Nevada, USA
SESSION: Brief announcements table of contents
Pages: 217 - 217  
Year of Publication: 2005
ISBN:1-58113-986-1
Authors
Rahul Shah  Purdue University, West Lafayette, IN
Peter J. Varman  Rice University, Houston, TX
Jeffrey Scott Vitter  Purdue University, West Lafayatte, IN
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGARCH: ACM Special Interest Group on Computer Architecture
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We consider the natural extension of the single disk caching problem to parallel disk I/O model. We close the existing gap between lower and upper bounds and achieve optimal competitive ratio of O(√D) when lookahead is more than the memory size M. When lookahead is smaller, we derive various upper bounds and lower bounds on the competitive ratio under various adversarial models.




Collaborative Colleagues:
Rahul Shah: colleagues
Peter J. Varman: colleagues
Jeffrey Scott Vitter: colleagues