{"title":"基于RAM网格的文件分类缓存服务","authors":"ZhongAn Lao, Nong Xiao, ChangSheng Fu","doi":"10.1109/ChinaGrid.2009.18","DOIUrl":null,"url":null,"abstract":"Memory intensive applications and I/O intensive applications often suffer from the poor performance of disk swapping when memory is inadequate.RAM Grid, which combines Network Memory, Service-oriented Computing and Grid Computing technology, focuses on solving these problems. Being excellent at providing shared memory to improve system performance, RAM Grid can’t guarantee busy node load balance or optimal file remote cache efficiency. After studying data placement policy of large-scale network storage systems, we propose a file classification caching service (FCCS) based on RAM Grid, which promises fairness and high availability, to give a method that tries to solve those shortages. As experiment results show: FCCS improve system performance greatly.","PeriodicalId":212445,"journal":{"name":"2009 Fourth ChinaGrid Annual Conference","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FCCS: File Classification Caching Service Based on RAM Grid\",\"authors\":\"ZhongAn Lao, Nong Xiao, ChangSheng Fu\",\"doi\":\"10.1109/ChinaGrid.2009.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Memory intensive applications and I/O intensive applications often suffer from the poor performance of disk swapping when memory is inadequate.RAM Grid, which combines Network Memory, Service-oriented Computing and Grid Computing technology, focuses on solving these problems. Being excellent at providing shared memory to improve system performance, RAM Grid can’t guarantee busy node load balance or optimal file remote cache efficiency. After studying data placement policy of large-scale network storage systems, we propose a file classification caching service (FCCS) based on RAM Grid, which promises fairness and high availability, to give a method that tries to solve those shortages. As experiment results show: FCCS improve system performance greatly.\",\"PeriodicalId\":212445,\"journal\":{\"name\":\"2009 Fourth ChinaGrid Annual Conference\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Fourth ChinaGrid Annual Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ChinaGrid.2009.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth ChinaGrid Annual Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ChinaGrid.2009.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FCCS: File Classification Caching Service Based on RAM Grid
Memory intensive applications and I/O intensive applications often suffer from the poor performance of disk swapping when memory is inadequate.RAM Grid, which combines Network Memory, Service-oriented Computing and Grid Computing technology, focuses on solving these problems. Being excellent at providing shared memory to improve system performance, RAM Grid can’t guarantee busy node load balance or optimal file remote cache efficiency. After studying data placement policy of large-scale network storage systems, we propose a file classification caching service (FCCS) based on RAM Grid, which promises fairness and high availability, to give a method that tries to solve those shortages. As experiment results show: FCCS improve system performance greatly.