Intelligent caching for remote file service

Author

Korner, Kim

Author_Institution

Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA

fYear

1990

fDate

28 May-1 Jun 1990

Firstpage

220

Lastpage

226

Abstract

Limitations of current disk block caching strategies are discussed. A model for providing remote file service using knowledge-based caching algorithms is proposed. The knowledge-based algorithms generate expectations of user process behavior which are used to provide hints to the file server. Te research involved gathering trace data from a modified Unix kernel and conducting trace-driven simulation of remote file server models. Performance improvements of up to 340% were observed for knowledge-based caching in simulated file service. Comparisons are made between conventional, knowledge-based, and optimal models. Extensions to general caching are discussed

Keywords

Unix; buffer storage; distributed processing; file organisation; knowledge based systems; operating systems (computers); Unix kernel; disk block caching; file server; knowledge-based caching algorithms; remote file service; trace data; trace-driven simulation; user process behavior; Application software; Computer networks; Computer science; Contracts; Costs; File servers; Kernel; Operating systems; Predictive models; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Computing Systems, 1990. Proceedings., 10th International Conference on

Conference_Location

Paris

Print_ISBN

0-8186-2048-X

Type

conf

DOI

10.1109/ICDCS.1990.89275

Filename

89275