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Big Data Paradigm Developed in Volunteer Grid System with Genetic Programming Scheduler

机译:具有基因编程调度程序的志愿网格系统中开发的大数据范式

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Artificial intelligence techniques are capable to handle a large amount of information collected over the web. In this paper, big data paradigm has been studied in volunteer and grid system called Comcute that is optimized by a genetic programming scheduler. This scheduler can optimize load balancing and resource cost. Genetic programming optimizer has been applied for finding the Pareto solu-tions. Finally, some results from numerical experiments have been shown.
机译:人工智能技术能够处理在网上收集的大量信息。 在本文中,在志愿者和网格系统中研究了大数据范式,称为Comcute,由遗传编程调度器进行优化。 此调度程序可以优化负载均衡和资源成本。 遗传编程优化器已被应用用于寻找帕累托溶液。 最后,已经显示了数值实验的一些结果。

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