Efficient algorithms for frequent pattern mining in many-task computing environments
Knowledge-Based Systems
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Cloud Computing, as a newly emerging technology, is an innovation providing dynamically scalable and virtualized resources as services. In this paper, we introduce our recent effort to build a service-oriented distributed computational system based on the Cloud concepts named Distributed Computational Service Cloud. This kind of Cloud hosts scalable Grid services, which are implemented with Web-Services-Resource-Framework-compliant (WSRF) [1] Web services, enabling high-performance and distributed computing. We evaluate the Cloud using scalable decision tree service, which provides computational intensive data mining algorithm. The architecture of the system as well as details of the distributed decision tree construction is the kernel content of this paper.