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Running data-intensive scientific workflow across multiple data centers faces massive data transfer problem which leads to low efficiency in actual workflow application for scientists. By considering data size and data dependency, we propose a k-means algorithm based initial data placement strategy that places the most related initial data sets into the same data center at workflow preparation stage...
With the rapid grows of cloud-based internet application, a need for efficient resource allocation, load balance and cost management increases. In this paper, we propose a group-auction based mechanism for the cloud instance market to efficiently allocate resources. In the market system, resource providers offer resources in the form of virtual machine. Users submit their bids. The proposed system...
With the explosion of data in the past decade, big data is becoming a research hotspot in the information field. Many cloud-based distributed data processing platforms have been proposed to provide efficient and cost effective solutions for big data query processing, such as Hadoop, Hive, Pig, etc. However, most of the current research works are focus on improving the performance of query processing...
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