{"title":"高速网络自适应并行处理体系结构","authors":"J. Foag, Nuria Pazos, T. Wild, W. Brunnbauer","doi":"10.1109/HPCSA.2002.1019485","DOIUrl":null,"url":null,"abstract":"This article describes a packet processing methodology, which executes the required protocol layer functions of a networking device in parallel. Based on the dynamic prediction of the inherent protocol-stack of receiving packets, the data dependency of the layers is speculatively resolved and the functions are processed. Consequently, packet processing latency can be minimized and end-to-end transmission delays can be optimized without sacrificing flexibility in the supported networking protocols and applications. Utilizing the self-adaptive processing methodology, presented in this paper, transmission systems may realize a mean system processing time reduction and consequently a transmission rate increase of up to 40 percent dependent on the quality of the prediction.","PeriodicalId":111862,"journal":{"name":"Proceedings 16th Annual International Symposium on High Performance Computing Systems and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Self-adaptive arallel rocessing architecture for high-speed networking\",\"authors\":\"J. Foag, Nuria Pazos, T. Wild, W. Brunnbauer\",\"doi\":\"10.1109/HPCSA.2002.1019485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article describes a packet processing methodology, which executes the required protocol layer functions of a networking device in parallel. Based on the dynamic prediction of the inherent protocol-stack of receiving packets, the data dependency of the layers is speculatively resolved and the functions are processed. Consequently, packet processing latency can be minimized and end-to-end transmission delays can be optimized without sacrificing flexibility in the supported networking protocols and applications. Utilizing the self-adaptive processing methodology, presented in this paper, transmission systems may realize a mean system processing time reduction and consequently a transmission rate increase of up to 40 percent dependent on the quality of the prediction.\",\"PeriodicalId\":111862,\"journal\":{\"name\":\"Proceedings 16th Annual International Symposium on High Performance Computing Systems and Applications\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 16th Annual International Symposium on High Performance Computing Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCSA.2002.1019485\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 16th Annual International Symposium on High Performance Computing Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSA.2002.1019485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-adaptive arallel rocessing architecture for high-speed networking
This article describes a packet processing methodology, which executes the required protocol layer functions of a networking device in parallel. Based on the dynamic prediction of the inherent protocol-stack of receiving packets, the data dependency of the layers is speculatively resolved and the functions are processed. Consequently, packet processing latency can be minimized and end-to-end transmission delays can be optimized without sacrificing flexibility in the supported networking protocols and applications. Utilizing the self-adaptive processing methodology, presented in this paper, transmission systems may realize a mean system processing time reduction and consequently a transmission rate increase of up to 40 percent dependent on the quality of the prediction.