Vinícius Fontes, B. Schulze, M. L. Dutra, F. Porto, Álvaro Cesar P. Barbosa
{"title":"codimm - g:用于网格的数据和程序集成服务","authors":"Vinícius Fontes, B. Schulze, M. L. Dutra, F. Porto, Álvaro Cesar P. Barbosa","doi":"10.1145/1028493.1028498","DOIUrl":null,"url":null,"abstract":"Grid services provide an important abstract layer on top of heterogeneous components (hardware and software) that take part into a Grid environment. In this scenario, applications, like scientific visualization, require access to data of non-conventional data types, like fluid path geometry, and the evaluation of special user programs on these data. In order to support such applications we are developing CoDIMS-G, which is a data and program integration service for the Grid. CoDIMS-G provides users transparent access to data and programs distributed on the Grid, as well as dynamic resource allocation and management. We conceived a new node scheduling algorithm and designed an adaptive distributed query engine for the grid environment.","PeriodicalId":313448,"journal":{"name":"Middleware for Grid Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"CoDIMS-G: a data and program integration service for the grid\",\"authors\":\"Vinícius Fontes, B. Schulze, M. L. Dutra, F. Porto, Álvaro Cesar P. Barbosa\",\"doi\":\"10.1145/1028493.1028498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Grid services provide an important abstract layer on top of heterogeneous components (hardware and software) that take part into a Grid environment. In this scenario, applications, like scientific visualization, require access to data of non-conventional data types, like fluid path geometry, and the evaluation of special user programs on these data. In order to support such applications we are developing CoDIMS-G, which is a data and program integration service for the Grid. CoDIMS-G provides users transparent access to data and programs distributed on the Grid, as well as dynamic resource allocation and management. We conceived a new node scheduling algorithm and designed an adaptive distributed query engine for the grid environment.\",\"PeriodicalId\":313448,\"journal\":{\"name\":\"Middleware for Grid Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Middleware for Grid Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1028493.1028498\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Middleware for Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1028493.1028498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CoDIMS-G: a data and program integration service for the grid
Grid services provide an important abstract layer on top of heterogeneous components (hardware and software) that take part into a Grid environment. In this scenario, applications, like scientific visualization, require access to data of non-conventional data types, like fluid path geometry, and the evaluation of special user programs on these data. In order to support such applications we are developing CoDIMS-G, which is a data and program integration service for the Grid. CoDIMS-G provides users transparent access to data and programs distributed on the Grid, as well as dynamic resource allocation and management. We conceived a new node scheduling algorithm and designed an adaptive distributed query engine for the grid environment.