Arun Raghunath, A. Kunze, Erik J. Johnson, V. Balakrishnan
{"title":"在网络处理器上支持多业务边缘数据包处理的框架","authors":"Arun Raghunath, A. Kunze, Erik J. Johnson, V. Balakrishnan","doi":"10.1145/1095890.1095913","DOIUrl":null,"url":null,"abstract":"Network edge packet-processing systems, as are commonly implemented on network processor platforms, are increasingly required to support a rich set of services. These multi-service systems are also subjected to widely varying and unpredictable traffic. Current network processor systems do not simultaneously deal well with a variety of services and fluctuating workloads. For example, current methods of worst-case, static provisioning can meet performance requirements for any workload, but provisioning each service for its worst case reduces the total number of services that can be supported. Alternately, profile-driven automatic-partitioning compilers create efficient binaries for multi-service applications for specific workloads but they are sensitive to workload fluctuations. Run-time adaptation is a potential solution to this problem. With run-time adaptation, the mapping of services to system resources can be dynamically adjusted based on the workload. We have implemented an adaptive system that automatically changes the mapping of services to processors, and handles migration of services between different processor core types to match the current workload. In this paper we explain our adaptive system built on the Intelreg IXP2400 network processor. We demonstrate that it outperforms multiple different profile-driven compiled solutions for most workloads and performs within 20% of the optimal compiled solution for the remaining workloads.","PeriodicalId":417086,"journal":{"name":"2005 Symposium on Architectures for Networking and Communications Systems (ANCS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Framework for supporting multi-service edge packet processing on network processors\",\"authors\":\"Arun Raghunath, A. Kunze, Erik J. Johnson, V. Balakrishnan\",\"doi\":\"10.1145/1095890.1095913\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Network edge packet-processing systems, as are commonly implemented on network processor platforms, are increasingly required to support a rich set of services. These multi-service systems are also subjected to widely varying and unpredictable traffic. Current network processor systems do not simultaneously deal well with a variety of services and fluctuating workloads. For example, current methods of worst-case, static provisioning can meet performance requirements for any workload, but provisioning each service for its worst case reduces the total number of services that can be supported. Alternately, profile-driven automatic-partitioning compilers create efficient binaries for multi-service applications for specific workloads but they are sensitive to workload fluctuations. Run-time adaptation is a potential solution to this problem. With run-time adaptation, the mapping of services to system resources can be dynamically adjusted based on the workload. We have implemented an adaptive system that automatically changes the mapping of services to processors, and handles migration of services between different processor core types to match the current workload. In this paper we explain our adaptive system built on the Intelreg IXP2400 network processor. We demonstrate that it outperforms multiple different profile-driven compiled solutions for most workloads and performs within 20% of the optimal compiled solution for the remaining workloads.\",\"PeriodicalId\":417086,\"journal\":{\"name\":\"2005 Symposium on Architectures for Networking and Communications Systems (ANCS)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 Symposium on Architectures for Networking and Communications Systems (ANCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1095890.1095913\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 Symposium on Architectures for Networking and Communications Systems (ANCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1095890.1095913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Framework for supporting multi-service edge packet processing on network processors
Network edge packet-processing systems, as are commonly implemented on network processor platforms, are increasingly required to support a rich set of services. These multi-service systems are also subjected to widely varying and unpredictable traffic. Current network processor systems do not simultaneously deal well with a variety of services and fluctuating workloads. For example, current methods of worst-case, static provisioning can meet performance requirements for any workload, but provisioning each service for its worst case reduces the total number of services that can be supported. Alternately, profile-driven automatic-partitioning compilers create efficient binaries for multi-service applications for specific workloads but they are sensitive to workload fluctuations. Run-time adaptation is a potential solution to this problem. With run-time adaptation, the mapping of services to system resources can be dynamically adjusted based on the workload. We have implemented an adaptive system that automatically changes the mapping of services to processors, and handles migration of services between different processor core types to match the current workload. In this paper we explain our adaptive system built on the Intelreg IXP2400 network processor. We demonstrate that it outperforms multiple different profile-driven compiled solutions for most workloads and performs within 20% of the optimal compiled solution for the remaining workloads.