西安交通大学电子与信息工程学院,西安,710049
网络首发:2009-10-10,
纸质出版:2009
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颜秉珩 1, 钱德沛 1, 2. 一种支持负载均衡的存储调度算法[J]. 西安交通大学学报, 2009,43(10):61-65.
A Scheduling Algorithm for Load Balance Sensitive Storage[J]. 2009, 43(10): 61-65.
针对应用层存储聚合中的调度问题
提出了一种支持负载均衡的存储调度(LBS)算法.LBS是一种基于策略的调度算法
它将应用对存储资源的需求转换为一系列约束
再通过分析约束之间的关系选择合适的存储节点或者已有的调度方案
从而提高了调度方案的复用率
维护了策略复用与节点负载之间的平衡关系
寻找到最佳的负载均衡策略.模拟测试表明
LBS算法在负载均衡方面和策略耦合方面明显优于Least和Random算法
负载均衡指标最高可提升10倍左右.
According to the scheduling problem in storage aggregating of application-level
a scheduling algorithm for load balance sensitive storage(LBS)is proposed based on policy. In the LBS algorithm
requirements from applications for storage are represented as a series of restrictions. The LBS then makes choice between new appropriate storage nodes and existing scheduling scenario by analyzing relations between restrictions so that the reusability of scheduler scenarios can be improved. The LBS maintains the balance between the reusability of policy and the load of storage
and achieves the goal of load balance finally. The simulation and comparisons show that the LBS outperforms the Random and the Least obviously in load balancing
policy decupling and scalability
and that the load balance of the LBS improves 10 times against the two baseline algorithms.
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