{"title":"网络存储服务器的建模与性能分析","authors":"O. Gemikonakli, G. Mapp, D. N. Thakker, E. Ever","doi":"10.1109/ANSS.2006.30","DOIUrl":null,"url":null,"abstract":"This paper presents an analytical method for the performability evaluation of a proposed network memory server attached to a local area network. The proposed server is expected to improve data storage and retrieval. However, the underlying network will receive an increased amount of traffic which may have a significant effect on the network's performance. The proposed analytical model and its solution can be used to evaluate the performance of such a system. Mean queue lengths and the probability that the NMS queue is full are calculated and presented.","PeriodicalId":308739,"journal":{"name":"39th Annual Simulation Symposium (ANSS'06)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Modelling and performability analysis of network memory servers\",\"authors\":\"O. Gemikonakli, G. Mapp, D. N. Thakker, E. Ever\",\"doi\":\"10.1109/ANSS.2006.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an analytical method for the performability evaluation of a proposed network memory server attached to a local area network. The proposed server is expected to improve data storage and retrieval. However, the underlying network will receive an increased amount of traffic which may have a significant effect on the network's performance. The proposed analytical model and its solution can be used to evaluate the performance of such a system. Mean queue lengths and the probability that the NMS queue is full are calculated and presented.\",\"PeriodicalId\":308739,\"journal\":{\"name\":\"39th Annual Simulation Symposium (ANSS'06)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"39th Annual Simulation Symposium (ANSS'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANSS.2006.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"39th Annual Simulation Symposium (ANSS'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANSS.2006.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling and performability analysis of network memory servers
This paper presents an analytical method for the performability evaluation of a proposed network memory server attached to a local area network. The proposed server is expected to improve data storage and retrieval. However, the underlying network will receive an increased amount of traffic which may have a significant effect on the network's performance. The proposed analytical model and its solution can be used to evaluate the performance of such a system. Mean queue lengths and the probability that the NMS queue is full are calculated and presented.
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