David Kotz and Ravi Jain. I/O in Parallel and Distributed Systems. In Allen Kent and James G. Williams. editors, Encyclopedia of Computer Science and Technology, Marcel Dekker, Inc., 1999. Supplement 25.

Abstract: We sketch the reasons for the I/O bottleneck in parallel and distributed systems, pointing out that it can be viewed as a special case of a general bottleneck that arises at all levels of the memory hierarchy. We argue that because of its severity, the I/O bottleneck deserves systematic attention at all levels of system design. We then present a survey of the issues raised by the I/O bottleneck in six key areas of parallel and distributed systems: applications, algorithms, languages and compilers, run-time libraries, operating systems, and architecture.

Keywords: survey, parallel-IO, parallel computing, file system

BibTeX

PDF (170K)

Copyright © 1999 by Marcel Dekker, Inc..

The copy made available here is the authors' version; for a definitive copy see the publisher's version described above.