智能MapReduce云:根据需要对中间数据应用额外的处理

Tzu-Chi Huang, Kuo-Chih Chu, Ming-Fong Tsai
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引用次数: 2

摘要

云计算是一种新兴的、有吸引力的技术,它以现收现付的方式为用户提供各种服务。如今的云计算不再将云中的服务资源限制在远离用户的计算机上,这些计算机在同一地理位置的数据中心中通过高速网络相互连接。云计算可以通过连接多个地理位置的资源向用户呈现云。通过连接多个地理位置的资源来组织云,云计算可能会遇到通信拦截、拥塞和中断的问题。云计算应该有一种方法,可以根据需要为地理上分开的计算机之间的某些链接提供额外的处理。由于MapReduce云是大规模计算成功的关键,因此云计算可以使用本文提出的Smart MapReduce cloud (SMRC),当中间数据在MapReduce云中的计算机之间传递时,根据需要对中间数据进行额外的处理。在实验中,使用几种流行的MapReduce应用程序对云计算进行测试,观察SMRC中通过XOR和GZIP函数进行数据加密和压缩的性能。
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Smart MapReduce cloud: Applying extra processing to intermediate data on demand
Cloud computing is the emerging and attractive technology and provides users with various services in a pay-as-you-go manner. Cloud computing nowadays does not limit resources of the services in a cloud to the computers that are far away from users and connected to each other in a data center with high speed networks at the same geographic location. Cloud computing may present a cloud to users by connecting resources at multiple geographic locations. By connecting resources at multiple geographic locations to organize a cloud, cloud computing may meet problems of communication interception, congestion, and interruption. Cloud computing should have a way to supply extra processing on demand for certain links between computers separated geographically. Since a MapReduce cloud is the key to the success of the large-scale computation, cloud computing can use the Smart MapReduce Cloud (SMRC) proposed in this paper to apply extra processing to intermediate data on demand while intermediate data is delivered among computers in the MapReduce cloud. In experiments, cloud computing is tested with several popular MapReduce applications to observe performances of data encryption and compression via XOR and GZIP functions in SMRC.
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