Publication: Abstract Execution in a Multi-Tasking Environment
Open/View Files
Date
1994
Authors
Published Version
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
Mazières, David and Michael D. Smith. 1994. Abstract Execution in a Multi-Tasking Environment. Harvard Computer Science Group Technical Report TR-31-94.
Research Data
Abstract
Tracing software execution is an important part of understanding system performance. Raw CPU power has been increasing at a rate far greater than memory and I/O bandwidth, with the result that the performance of client/server and I/O-bound applications is not scaling as one might hope. Unfortunately, the behavior of these types of applications is particularly sensitive to the kinds of distortion induced by traditional tracing methods, so that current traces are either incomplete or of questionable accuracy. Abstract execution is a powerful tracing technique which was invented to speed the tracing of single processes and to store trace data more compactly. In this work, abstract execution was extended to trace multi-tasking workloads. The resulting system is more than 5 times faster than other current methods of gathering multi-tasking traces, and can therefore generate traces with far less time distortion.
Description
Other Available Sources
Keywords
Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service