摘要
在基于可扩展对象的海量存储系统(Based on Scalable Object Mass Storage System,BSO-MSS)中,负载均衡一直是研究的重点,如何选择存储对象(Storage Object,SO)及数目是关键。因此提出柔性负载均衡策略,它不仅考虑网络对BSO-MSS的影响,而且更关注SO本身,针对SO中不同的存储能力,自适应选择SO数目,采用不同大小的分条进行存储。当SO数目未达到最佳值时,增加SO数目,会减少系统响应时间,提高整个系统的吞吐量。
The workload balancing is always the key of study in the Based on Scalable Object Mass Storage System(BSO-MSS).How to choice Storage Objects(SOs) and the number of them are.It presented a strategy of workload balancing in this paper.Not only do we thought over network effect on BSO-MSS,but also we noticed SOs themselves.Aiming at different storing ability of SOs,the system adapts to choice the number of SOs by itself and adopts different size of stripping for data storing.When the number of SOs don't add up to the best value,we are adding the more number,the system has the least response time.So it enhances the whole system performance.
出处
《计算机科学》
CSCD
北大核心
2011年第5期283-286,共4页
Computer Science
基金
国家自然科学基金项目(60873028)
湖北省教学研究项目(2009053)
华中科技大学实验技术研究项目资助