摘要
针对云存储系统中存储控制结点的I/O性能瓶颈的特点,提出相应的相空间调度算法,将云存储系统投影到参数相空间,将存储控制结点和数据存储结点参数的变化转化为参数相空间中点的运动,然后利用合作博弈协调算法优化访问控制模块所需时间与空间开销的问题。理论分析与试验结果表明,相空间调度算法能使云存储系统在参数相空间中获得较优的操作处理速度、较优的I/O性能。
Aiming at the cloud storage system storage control nodes of the I / O bottleneck, the cloud storage system are projected to the parameters of phase space, node parameters change parameter phase space at the midpoint of the movement, the establishment of the phase space scheduling algorithm, then using cooperative game coordination algorithm to optimise the access control module problem with the time and space overhead of. The simulation results show that the phase space scheduling algorithm can make the cloud storage system in the parameters of the phase space of the better operation and processing speed, the better IO performance.
出处
《深圳信息职业技术学院学报》
2015年第3期1-4,共4页
Journal of Shenzhen Institute of Information Technology
基金
深圳市科技项目(项目编号:JCYJ20130401095947222)
关键词
相空间
合作博弈
云存储
phase space
cooperative game
cloud storage
