摘要
智能电网数据处理系统需要存储从巨量设备端点周期性采集到的海量数据,处理高度并发的读写请求,并要求系统具有良好的可扩展性.新兴的云数据服务系统为我们提供了很好的选择.但是现在云数据服务系统种类繁多,各方面的性能存在差异,如何选择合适的云数据服务系统成为关键问题.基于智能用电场景,提出了一种对云数据服务系统的性能评价和分析方法,并利用该方法评测HBase、Voldemort和Cassandra三者的性能.
Smart Grid data processing system needs to store the large-scale data collected from the mass device endpoint periodically,handle the high-concurrent read and write requests,and the high-scalability is more important.Cloud-based data serving systems provide a good choice for us.However the large variety of cloud-based data serving systems and the various performance make it difficult for developers to choose an appropriate system.Here we propose a method to benchmark the performance of cloud-based data serving systems based on the special scene of smart grid.Finally we benchmark the performance of HBase,Voldemort and Cassandra through our method.
出处
《微电子学与计算机》
CSCD
北大核心
2011年第8期35-38,共4页
Microelectronics & Computer
基金
国网信息通信有限公司科技项目(SGIT[2010]449)
关键词
智能用电
云数据服务系统
评测
性能
Smart Grid
Cloud-based data serving systems
benchmark
performance
