{"title":"活动数据:支持网格数据生命周期","authors":"Tim Ho, D. Abramson","doi":"10.1109/CCGRID.2007.16","DOIUrl":null,"url":null,"abstract":"Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the data is first generated, and tracks its progress through replication, distribution, deletion and possible re-computation. We describe the design and implementation of an infrastructure, called active data, which combines existing grid middleware to support the scientific data lifecycle in a platform-neutral environment.","PeriodicalId":278535,"journal":{"name":"Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Active Data: Supporting the Grid Data Life Cycle\",\"authors\":\"Tim Ho, D. Abramson\",\"doi\":\"10.1109/CCGRID.2007.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the data is first generated, and tracks its progress through replication, distribution, deletion and possible re-computation. We describe the design and implementation of an infrastructure, called active data, which combines existing grid middleware to support the scientific data lifecycle in a platform-neutral environment.\",\"PeriodicalId\":278535,\"journal\":{\"name\":\"Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGRID.2007.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2007.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the data is first generated, and tracks its progress through replication, distribution, deletion and possible re-computation. We describe the design and implementation of an infrastructure, called active data, which combines existing grid middleware to support the scientific data lifecycle in a platform-neutral environment.