CAJ | 학술논문

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。
침대운존저계통중존저공제결점적I/O성능병경적특점，제출상응적상공간조도산법，장운존저계통투영도삼수상공간，장존저공제결점화수거존저결점삼수적변화전화위삼수상공간중점적운동，연후이용합작박혁협조산법우화방문공제모괴소수시간여공간개소적문제。이론분석여시험결과표명，상공간조도산법능사운존저계통재삼수상공간중획득교우적조작처리속도、교우적I/O성능。
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.