Search Results - (( grid computing clustering algorithm ) OR ( java implication based algorithm ))
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A cluster-based hybrid replica control protocol for high availability in data grid
Published 2019“…Data Grid provides a scalable infrastructure for managing and storing large amount of data files in Grid computing system. …”
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An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…However, existing density-based data stream clustering algorithms are not without problems. The first problem refers to the high computation time required for the clustering process. …”
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Mining Of Resource Usage Using Evoc Algorithm In Grid Environment.
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Big data clustering using grid computing and ant-based algorithm
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Resource broker management by adopting self-adaptive multi-instance broker scheduling in grid computing
Published 2014“…The SAMiB algorithm has achieved a decrease of 14.93% in makespan time for 2000 jobs, proving the suitability of the multi-instance broker concept for the hierarchical cluster grid environment.…”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…Therefore, this research takes the advantage of utilizing multiple set of clusters from geographically different location which is known as grid computing. …”
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MuDi-Stream: A multi density clustering algorithm for evolving data stream
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Optimalisation of a job scheduler in the grid environment by using fuzzy C-mean
Published 2007“…Simulation runs demonstrate that our algorithm leads to better results than the traditional algorithms for scheduling policies used in Grid environment.…”
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Multiphase scalable grid scheduler based on multi-QoS using min-min heuristic.
Published 2010“…The scheduler is also based on the assumption that the resources in grid computing can be classified into clusters. The scheduler tries first to schedule the jobs to the suitable cluster (i.e. first phase)and then each cluster schedule the incoming jobs to the suitable resources (i.e. second phase). …”
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Independent And Dependent Job Scheduling Algorithms Based On Weighting Model For Grid Environment
Published 2018“…However, the previous algorithms are complicated and needed a lot of computational resources. …”
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Design and development of hybrid integrated thermal aware job scheduling on computational grid environment
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Transmission path optimization Based on Efficiency Communication System
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Parallel Processing of RSAAlgorithm Using MPI Library
Published 2006“…This parallel system is going to be embedded on grid or cluster computing environment. The language and library that are going to be used for the system is C++ and Message Passing Interface (MPI). …”
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A Divide-and-Distribute Approach to Single-Cycle Learning HGN Network for Pattern Recognition
Published 2010“…Distributed Hierarchical Graph Neuron (DHGN) is a single-cycle learning distributed pattern recognition algorithm, which reduces the computational complexity of existing pattern recognition algorithms by distributing the recognition process into smaller clusters. …”
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Optimized Load Balancing based Task Scheduling in Cloud Environment
Published 2014“…The fundamental issue of Task scheduling is one important factor to load balance between the virtual machines in a Cloud Computing network. However, the optimal broadcast methods which have been proposed so far focus only on cluster or grid environment. …”
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Application Of Higher Order Compact Finite Difference Methods To Problems In Fluid Dynamics
Published 2003“…These unknowns are solved explicitly with Hermitian relations that relate the variables and its spatial derivatives. The numerical algorithms are first developed for viscous Burgers' equation on uniform and clustered grids. …”
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Efficient 3D temperature propagation for laser glass interaction
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