{"title":"20世纪90年代的数据并行存储系统","authors":"J. Wilkes","doi":"10.1109/MASS.1991.160224","DOIUrl":null,"url":null,"abstract":"A description is given of DataMesh, a research project with the goal of developing software to maximize the performance of mass storage I/O, while providing high availability, ease of use, and scalability. The DataMesh hardware architecture is that of an array of disk nodes, with each disk having a dedicated 20-MIPS single-chip processor and 8-32 MBytes RAM. The nodes are linked by a fast, reliable, small-area network, and programmed to appear as a single storage server. Phase 1 of the DataMesh project will provide smart disk arrays; phase 2 will expand this to include file systems; and phase 3 will support parallel databases, data searches, and other application-specific functions. The initial target of the work is storage servers for groups of high-powered workstations, although the techniques are applicable to several different problems.<<ETX>>","PeriodicalId":158477,"journal":{"name":"[1991] Digest of Papers Eleventh IEEE Symposium on Mass Storage Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"DataMesh-parallel storage systems for the 1990s\",\"authors\":\"J. Wilkes\",\"doi\":\"10.1109/MASS.1991.160224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A description is given of DataMesh, a research project with the goal of developing software to maximize the performance of mass storage I/O, while providing high availability, ease of use, and scalability. The DataMesh hardware architecture is that of an array of disk nodes, with each disk having a dedicated 20-MIPS single-chip processor and 8-32 MBytes RAM. The nodes are linked by a fast, reliable, small-area network, and programmed to appear as a single storage server. Phase 1 of the DataMesh project will provide smart disk arrays; phase 2 will expand this to include file systems; and phase 3 will support parallel databases, data searches, and other application-specific functions. The initial target of the work is storage servers for groups of high-powered workstations, although the techniques are applicable to several different problems.<<ETX>>\",\"PeriodicalId\":158477,\"journal\":{\"name\":\"[1991] Digest of Papers Eleventh IEEE Symposium on Mass Storage Systems\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991] Digest of Papers Eleventh IEEE Symposium on Mass Storage Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MASS.1991.160224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991] Digest of Papers Eleventh IEEE Symposium on Mass Storage Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASS.1991.160224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A description is given of DataMesh, a research project with the goal of developing software to maximize the performance of mass storage I/O, while providing high availability, ease of use, and scalability. The DataMesh hardware architecture is that of an array of disk nodes, with each disk having a dedicated 20-MIPS single-chip processor and 8-32 MBytes RAM. The nodes are linked by a fast, reliable, small-area network, and programmed to appear as a single storage server. Phase 1 of the DataMesh project will provide smart disk arrays; phase 2 will expand this to include file systems; and phase 3 will support parallel databases, data searches, and other application-specific functions. The initial target of the work is storage servers for groups of high-powered workstations, although the techniques are applicable to several different problems.<>
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