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When running data intensive scientific workflow in multiple data centers environment, it is inevitable that massive data movement will be caused. The emergence of cloud computing technologies offers a new way to develop scientific workflow systems, and using dataset replicas to reduce data transfer among data centers is an import issue. In this paper, we propose a group based genetic algorithm which...
In a cloud distributed system, machine failure or region failure is a very common scenario. Data replication is a key technique for ensuring data availability. However, Objects are usually assumed independently by distributed systems, despite, a user-level task typically requests multiple data objects. This paper studies the effect of data placement on the availability of user-level tasks from a theoretical...
The Market of Data is an environment where data are reasonably deal with. Some data in the market of data are large and hard to analyze. How to efficiently analyze and organize such large scale data in the market of data is a difficult problem. When using Hadoop to analyze these massive data, if input data of a data mining task are not locally available in a processing node, data have to be migrated...
The large distributed interactive simulation system which based on the publish/subscribe model has considerable data, it needs to disseminate accurate data to the interested users quickly, so improving the match efficient is a very important method to solve this problem. Based on the study and comparison of current matching algorithm, we have proposed a predicate priority based event matching algorithm(hereinafter...
With more and more data emerging on the Semantic Web, dealing with mass semantic data became an important problem. The current Semantic Web framework Jena doesn't support storage on distributed file system. We designed a new storage engine named JenaPro which extended the function of Jena to enable it access file on distributed file system HDFS of Hadoop. The JenaPro storage engine can be embedded...
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