云计算中的MapReduce和负载平衡  

MapReduce and Load Balancing of Cloud Computing

作　　者：常浩[1] 

机构地区：[1]太原大学计算机工程系,山西太原030032

出　　处：《太原大学学报》2012年第1期131-133,140,共4页Journal of Taiyuan University

摘　　要：云计算通过互联网提供随需应变的资源或服务,通常依据数据中心的规模和可靠性水平而定。MapReduce是一个为并行处理大量数据设计的编程模型,在云环境中实现Hadoop MapReduce框架,使用虚拟的负载平衡来改进单节点和多节点系统的性能。When it needs, clouding computing has provided resources and services through the Internct. It is usually based on the size and reliability level of the data center. MapReduce is programming model to process a large mounts of the parallel data for the design. Hadoop MapReduce framework is achieved in the cloud environment, using a virtual load balancing to improve the system performance of single node and multiple nodes

关 键 词：云计算 MAPREDUCE 负载平衡 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]