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Fuzzy based map reduce technique for energy efficiency in multi core cloud computing

机译:基于模糊的地图约简技术在多核云计算中的能效

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Multi-core systems are built on a number of processors and have their own memories. Multi-core processing is like parallel processing because it makes a number of tasks to run at the same time and it enhances the energy efficiency and performance of jobs. The review has shown that if fuzzy rules are combined with multi core computing then power consumption of multi core processors can be further balanced and performance of multi cores can be further increased. Therefore this work has proposed a fuzzy based map reduce technique for multi-core systems. The use of triangular membership function has reduced the potential overheads of Map-reduce technique. Thus proposed technique has quite significant improvement over available techniques.
机译:多核系统建立在许多处理器上,并具有自己的内存。多核处理类似于并行处理,因为它使多个任务同时运行,并提高了能源效率和作业性能。审查表明,如果将模糊规则与多核计算相结合,则可以进一步平衡多核处理器的功耗,并可以进一步提高多核的性能。因此,这项工作提出了一种基于模糊的多核系统地图约简技术。三角隶属函数的使用减少了Map-reduce技术的潜在开销。因此,所提出的技术相对于可用技术具有相当大的改进。

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