To construct FP-Tree in mining frequent pattern, we propose a parallel algorithm CFPV (Construct FP-Tree on VODCA) for construct FP-Tree. This method is based on a new parallelcomputing environment on the distributed...
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Peer-to-Peer (P2P) technologies are developing rapidly and have gained popularity. The application of P2P to areas such as file sharing, collaborative business environment, and distributedcomputing requires secure co...
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The tremendous advances in wireless networks, mobile computing, sensor networks along with the rapid growth of small, portable and powerful computing devices offers opportunities for pervasive computing and communicat...
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The virtual computing environments integrated with virtual machines (VMs) and virtual overlay ne tworks play an important role in distributedcomputing and cloud computing. Overlay network with a layer 2 abstraction p...
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With the increasing functionality and complexity of distributed systems, resource failures are inevitable. While numerous models and algorithms for dealing with failures exist, the lack of public trace data sets and t...
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In view of eigenvalue problems of large-scale matrix, this paper proposes a refined distributedparallel algorithm named RDPC-DTM based on direct transformation method and DPC-DTM algorithm which is a distributed para...
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ISBN:
(纸本)9781424464968
In view of eigenvalue problems of large-scale matrix, this paper proposes a refined distributedparallel algorithm named RDPC-DTM based on direct transformation method and DPC-DTM algorithm which is a distributedparallel design of direct transformation method. This new method solves the problem that increasing the number of substructure could not effectively enhance the computing efficiency when the scale of matrix is too large. Numerical experiment proves that RDPC-DTM is more efficient than DPC-DTM, especially when calculating eigenvalue of super large-scale matrix. Numerical experiment also demonstrates that RDPC-DTM has higher degree of parallelism and is more suitable for cluster or MPP parallel computer compared to DPC-DTM.
The goal of data mining is to discover the hidden useful information from large databases. Mining frequent patterns from transaction databases is an important problem in data mining field. As the size of database incr...
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ISBN:
(纸本)9781424465880
The goal of data mining is to discover the hidden useful information from large databases. Mining frequent patterns from transaction databases is an important problem in data mining field. As the size of database increases, the computation time and the required memory increase severely. parallel and distributedcomputing techniques have attracted extensive attentions on the ability to manage and compute the significant amount of data in the past decades. The difficulty of mining large database launched the research of designing parallel and distributed algorithms to solve the problem. However, most of the past studies did not focus on the many-task issue that is very important, especially in cloud computing environments. In cloud computing environments, application is provided as service like Google search engine, meaning that it will be used by many users at the same time. In this paper, we propose a set of strategies for many-task frequent pattern mining. Through empirical evaluations on various simulation conditions, the proposed strategies deliver excellent performance in terms of execution time.
Wireless Sensor networks (WSNs) are unique embedded computer systems for distributed sensing of a dispersed phenomenon. As WSNs are deployed in remote locations for longterm unattended operation, assurance of correct ...
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Applications structured as parallel task graphs exhibit both data and task parallelism, and arise in many domains. Scheduling these applications on parallel platforms has been a long-standing challenge. In the case of...
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As the amount of services and users is increasing rapidly, the traditional optical network is evolved to multi-layer and multi-domain optical networks. A key research point in such a distributed environment is how to ...
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