Efficient Scheduling of Scientific Workflows using Hot Metadata in a Multisite Cloud

IEEE Transactions on Knowledge and Data Engineering, pp. 1-20, 2018.

被引用5|引用|浏览39|DOI:https://doi.org/10.1109/tkde.2018.2867857
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摘要

Large-scale, data-intensive scientific applications are often expressed as scientific workflows (SWfs). In this paper, we consider the problem of efficient scheduling of a large SWf in a multisite cloud, i.e. a cloud with geo-distributed cloud data centers (sites). The reasons for using multiple cloud sites to run a SWf are that data is a...更多

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