A Survey on Data Placement Strategies for Cloud based Scientific Workflows
نویسندگان
چکیده
منابع مشابه
A data placement strategy in scientific cloud workflows
In scientific cloud workflows, large amounts of application data need to be stored in distributed data centres. To effectively store these data, a data manager must intelligently select data centres in which these data will reside. This is, however, not the case for data which must have a fixed location. When one task needs several datasets located in different data centres, the movement of lar...
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Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University ofMelbourne, Australia Correspondence Maria Rodriguez, Department of Computing and Information Systems, DougMcDonell Building, The University ofMelbourne, Parkville 3010, VIC, Australia. Email: [email protected] Summary Large-scale scientific problems are often m...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016909651