{"title":"在面向事务的分布式系统中识别性能关键组件","authors":"Rui Zhang","doi":"10.1109/ICAC.2007.24","DOIUrl":null,"url":null,"abstract":"In order to make a difference in transaction- oriented distributed environments, performance management efforts must be focused on those components that play a critical role in end-to-end system performance. This paper overviews a flexible approach to identifying these components and quantifying their criticality, through a statistical extension to the classic critical path algorithm for DAGs. A preliminary case study in a real-world service-oriented Grid is used to demonstrate the approach.","PeriodicalId":179923,"journal":{"name":"Fourth International Conference on Autonomic Computing (ICAC'07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identifying Performance-Critical Components in Transaction-Oriented Distributed Systems\",\"authors\":\"Rui Zhang\",\"doi\":\"10.1109/ICAC.2007.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to make a difference in transaction- oriented distributed environments, performance management efforts must be focused on those components that play a critical role in end-to-end system performance. This paper overviews a flexible approach to identifying these components and quantifying their criticality, through a statistical extension to the classic critical path algorithm for DAGs. A preliminary case study in a real-world service-oriented Grid is used to demonstrate the approach.\",\"PeriodicalId\":179923,\"journal\":{\"name\":\"Fourth International Conference on Autonomic Computing (ICAC'07)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Conference on Autonomic Computing (ICAC'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAC.2007.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Conference on Autonomic Computing (ICAC'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAC.2007.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identifying Performance-Critical Components in Transaction-Oriented Distributed Systems
In order to make a difference in transaction- oriented distributed environments, performance management efforts must be focused on those components that play a critical role in end-to-end system performance. This paper overviews a flexible approach to identifying these components and quantifying their criticality, through a statistical extension to the classic critical path algorithm for DAGs. A preliminary case study in a real-world service-oriented Grid is used to demonstrate the approach.