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Performance optimisation of a lossless compression algorithm using the PACE toolkit
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Turner, James D., Lopez-Hernandez, R., Kerbyson, D. J. and Nudd, G. R. (2003) Performance optimisation of a lossless compression algorithm using the PACE toolkit. Department of Computer Science. (Department of Computer Science research report). (Unpublished)
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PDF (Department of Computer Science Research Report)
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Abstract
With the large increase in interest and research in distributed systems, the need for performance prediction and modelling of such systems has become important to decrease the system's complexity. One such prediction technique is PACE, a series of performance modelling tools developed at Warwick, which allows a user to create very accurate performance models of sequential and distributed systems. Such a model can be used in an application steering method, where a performance model is added to the overall system such that the application can be optimised to match a particular constraint. To describe this method, a lossless compression technique, also developed at Warwick, is optimised to fit a distributed system where a time constraint is necessary. It is shown that the compression ratio gained by the compression technique grows, as expected, while the time constraint given to the application becomes more relaxed.
Item Type: | Report | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Data compression (Computer science) | ||||
Series Name: | Department of Computer Science research report | ||||
Publisher: | Department of Computer Science | ||||
Official Date: | 2003 | ||||
Dates: |
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Number: | Number 389 | ||||
Number of Pages: | 13 | ||||
DOI: | CS-RR-389 | ||||
Institution: | University of Warwick | ||||
Theses Department: | Department of Computer Science | ||||
Status: | Not Peer Reviewed | ||||
Publication Status: | Unpublished | ||||
Funder: | United States. Defense Advanced Research Projects Agency (DARPA) | ||||
Grant number: | N66001- 97-C-8530 (DARPA) | ||||
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