摘要
云计算是由并行计算、分布式计算和网格计算发展而来,MapReduce是云计算的核心技术之一,它为并行系统的数据处理提供了一个简单、优雅的解决方案,其主要目的是为了大型集群的系统能在大数据集上进行并行工作,并用于大规模数据的并行运算。首先介绍了云计算与MapReduce的相关知识,然后对目前MapReduce的国内外研究状况进行了介绍与评析,并总结了目前MapReduce模型的相关研究问题,最后进行总结并展望了未来发展的趋势。
Cloud computing is resulted from the development of parallel computing, distributed computing and grid computing, MapReduce, as a of the core technology of cloud computing, provides a simple, elegant solution for parallel data processing system, and thus makes the large cluster of systems work on large data sets in parallel, and also for parallel computing of large-scale data. This paper first describes the relevant knowledge of cloud computing and MapReduce, then analyzes and reviews, the current research situation of MapReduce, summarizes the current research issues of MapReduce model. Finally, it gives the summary and the future trend.
出处
《通信技术》
2011年第12期159-161,共3页
Communications Technology