{"title":"A Distributed Application-Level IT System Workload Generator","authors":"C. Mueller, M. Horie, S. Neville","doi":"10.1109/WAINA.2009.121","DOIUrl":null,"url":null,"abstract":"Developing a capacity to test distributed systems hinges on being able to generate the workloads that these systems are to process. Appropriate tools must not only generate these workloads in real-time, but must also be able to sweep through a range of possible workload characteristics to support sensitivity and robustness analyses. Currently, the majority of prior work in this area, including Harpoon, ns-2, OpNet, and tcp replay, has focused on the reproduction of workload traces at the network-level. However, for many distributed systems, reproducing application-level workload characteristics is more informative from a testing perspective. This work details such an application-level workload generation tool. The tool itself is distributed and, hence, easily scales to using multiple machines to re-create complex multi-homed workloads. Furthermore, the tool supports the standard abilities to produce both statistically-described workloads, as well as reinstantiating previously-captured workload traces.","PeriodicalId":159465,"journal":{"name":"2009 International Conference on Advanced Information Networking and Applications Workshops","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Advanced Information Networking and Applications Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAINA.2009.121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Developing a capacity to test distributed systems hinges on being able to generate the workloads that these systems are to process. Appropriate tools must not only generate these workloads in real-time, but must also be able to sweep through a range of possible workload characteristics to support sensitivity and robustness analyses. Currently, the majority of prior work in this area, including Harpoon, ns-2, OpNet, and tcp replay, has focused on the reproduction of workload traces at the network-level. However, for many distributed systems, reproducing application-level workload characteristics is more informative from a testing perspective. This work details such an application-level workload generation tool. The tool itself is distributed and, hence, easily scales to using multiple machines to re-create complex multi-homed workloads. Furthermore, the tool supports the standard abilities to produce both statistically-described workloads, as well as reinstantiating previously-captured workload traces.