Sword: Scalable and Flexible Workload Generator for Distributed Data Processing Systems

Workload generation is commonly employed for performance characterization, testing and benchmarking of computer systems and networks. Workload generation typically aims at simulating or emulating traffic generated by different types of applications, protocols and activities, such as Web browsing, em...

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Bibliographic Details
Published inProceedings of the 2006 Winter Simulation Conference pp. 2109 - 2116
Main Authors Anderson, K.S., Bigus, J.P., Bouillet, E., Dube, P., Halim, N., Zhen Liu, Pendarakis, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2006
Subjects
Application software
Benchmark testing
Character generation
Computational modeling
Computer networks
Data processing
Streaming media
System testing
Telecommunication traffic
Traffic control
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Summary:Workload generation is commonly employed for performance characterization, testing and benchmarking of computer systems and networks. Workload generation typically aims at simulating or emulating traffic generated by different types of applications, protocols and activities, such as Web browsing, email, chat, as well as stream multimedia traffic. We present a scalable workload generator (SWORD) that we have developed for the testing and benchmarking of high-volume data processing systems. The tool is not only scalable but is also flexible and extensible allowing the generation of workload of a variety of types of applications and of contents
ISBN:1424405009
9781424405008
ISSN:0891-7736
1558-4305
DOI:10.1109/WSC.2006.323010