{"title":"R-Opus:共享资源池中应用程序性能和QoS的复合框架","authors":"L. Cherkasova, J. Rolia","doi":"10.1109/DSN.2006.59","DOIUrl":null,"url":null,"abstract":"We consider shared resource pool management taking into account per-application quality of service (QoS) requirements and server failures. Application QoS requirements are defined by complementary specifications for acceptable and time-limited degraded performance. Furthermore, a requirement specification is provided for both the normal case and for the case where an application server fails in the pool. Independently, the resource pool operator provides a resource access QoS commitment for two classes of service (CoS). These govern statistical multiplexing within the pool. A QoS translation automatically maps application demands onto the resource pool's CoS to best enable sharing. A workload placement service consolidates applications to a small number of servers while satisfying application QoS requirements. The service reports whether a spare server is needed or how applications affected by a single failure can operate according to failure QoS constraints using remaining servers until the failure can be repaired. A case study demonstrates the approach","PeriodicalId":228470,"journal":{"name":"International Conference on Dependable Systems and Networks (DSN'06)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"R-Opus: A Composite Framework for Application Performability and QoS in Shared Resource Pools\",\"authors\":\"L. Cherkasova, J. Rolia\",\"doi\":\"10.1109/DSN.2006.59\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider shared resource pool management taking into account per-application quality of service (QoS) requirements and server failures. Application QoS requirements are defined by complementary specifications for acceptable and time-limited degraded performance. Furthermore, a requirement specification is provided for both the normal case and for the case where an application server fails in the pool. Independently, the resource pool operator provides a resource access QoS commitment for two classes of service (CoS). These govern statistical multiplexing within the pool. A QoS translation automatically maps application demands onto the resource pool's CoS to best enable sharing. A workload placement service consolidates applications to a small number of servers while satisfying application QoS requirements. The service reports whether a spare server is needed or how applications affected by a single failure can operate according to failure QoS constraints using remaining servers until the failure can be repaired. A case study demonstrates the approach\",\"PeriodicalId\":228470,\"journal\":{\"name\":\"International Conference on Dependable Systems and Networks (DSN'06)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Dependable Systems and Networks (DSN'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSN.2006.59\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Dependable Systems and Networks (DSN'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSN.2006.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
R-Opus: A Composite Framework for Application Performability and QoS in Shared Resource Pools
We consider shared resource pool management taking into account per-application quality of service (QoS) requirements and server failures. Application QoS requirements are defined by complementary specifications for acceptable and time-limited degraded performance. Furthermore, a requirement specification is provided for both the normal case and for the case where an application server fails in the pool. Independently, the resource pool operator provides a resource access QoS commitment for two classes of service (CoS). These govern statistical multiplexing within the pool. A QoS translation automatically maps application demands onto the resource pool's CoS to best enable sharing. A workload placement service consolidates applications to a small number of servers while satisfying application QoS requirements. The service reports whether a spare server is needed or how applications affected by a single failure can operate according to failure QoS constraints using remaining servers until the failure can be repaired. A case study demonstrates the approach