{"title":"面向云计算的元数据服务性能提升","authors":"M. Hwang, Dae-Gun Kim, H. Youn","doi":"10.1109/WI-IAT.2010.188","DOIUrl":null,"url":null,"abstract":"Efficient metadata management is critical for distributed file system in cloud computing. In this paper we propose a new metadata management scheme which employs master metadata server (MMDS) and metadata look-up table server between the metadata servers and clients. The MMDS checks the state of MDSs for load-balancing, and thereby avoids hot spot. The proposed scheme significantly reduces the network traffic as well.","PeriodicalId":340211,"journal":{"name":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"41 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Enhancing the Performance of Metadata Service for Cloud Computing\",\"authors\":\"M. Hwang, Dae-Gun Kim, H. Youn\",\"doi\":\"10.1109/WI-IAT.2010.188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficient metadata management is critical for distributed file system in cloud computing. In this paper we propose a new metadata management scheme which employs master metadata server (MMDS) and metadata look-up table server between the metadata servers and clients. The MMDS checks the state of MDSs for load-balancing, and thereby avoids hot spot. The proposed scheme significantly reduces the network traffic as well.\",\"PeriodicalId\":340211,\"journal\":{\"name\":\"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology\",\"volume\":\"41 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WI-IAT.2010.188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI-IAT.2010.188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing the Performance of Metadata Service for Cloud Computing
Efficient metadata management is critical for distributed file system in cloud computing. In this paper we propose a new metadata management scheme which employs master metadata server (MMDS) and metadata look-up table server between the metadata servers and clients. The MMDS checks the state of MDSs for load-balancing, and thereby avoids hot spot. The proposed scheme significantly reduces the network traffic as well.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
