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- W2261350044 abstract "In this paper, we propose a new solution for dynamic task scheduling in distributed environment. We argue that a function is existed in the items: execution time, the size of data and the algorithm, therefore we can deduce the execution time of a data mining task from the corresponding the size of data and algorithm. We adopt the sampling method for process the tasks scheduling in distributed data mining environment. The experimental results show the sampling method is applicable to task scheduling in dynamic environment and can be adopted to obtain a higher result. Key-Words: Sampling, Tasks Scheduling, Distributed Computing, Data Mining" @default.
- W2261350044 created "2016-06-24" @default.
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- W2261350044 date "2009-01-10" @default.
- W2261350044 modified "2023-09-23" @default.
- W2261350044 title "A sampling-based scheduling method for distributed computing" @default.
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