电子学报2011,Vol.39Issue(8):1824-1831,8.
一种基于免疫克隆的偏好多维QoS云资源调度优化算法
Optimizing Multi-Dimensional QoS Cloud Resource Scheduling by Immune Clonal with Preference
摘要
Abstract
Focusing on the problem of high efficiency and effectiveness resource scheduling in cloud computing environments, the model of cloud resource scheduling is systematically analyzed in theory at first, the application preferences and the user u-tility of multi-dimensional QoS is quantified, and the objective function of multi-dimensional QoS is given at last. Combining with the immune clonal algorithm of rapid multi-objective optimization, a heuristic cloud resource scheduling algorithm with application preference is proposed. The non-dominated antibodies are proportionally immune cloned according to their preference priority, which are defined by their cloud application preferences. It is beneficial to enhance the forecasting accuracy of the immune gene manipulation, and to increase the speed of finding the optimal solution based on the application preference. Experimental results conclusively demonstrate the efficiency and effectiveness of the improve system availability, load balancing deviation and valid time brought by the proposed algorithm in cloud computing environments.关键词
资源调度/免疫克隆/多维QoS/应用偏好/云计算Key words
resource scheduling/ immune clonal/ multi-dimensional QoS/ application preference/ cloud computing分类
计算机与自动化引用本文复制引用
孙大为,常桂然,李凤云,王川,王兴伟..一种基于免疫克隆的偏好多维QoS云资源调度优化算法[J].电子学报,2011,39(8):1824-1831,8.基金项目
国家自然科学基金(No.61070162,No.71071028,No.60802023,No.70931001) (No.61070162,No.71071028,No.60802023,No.70931001)
高等学校博士学科点专项科研基金(No.20100042,No.20070145017) (No.20100042,No.20070145017)
中央高校基本科研业务费专项资金(No.N100604012,No.N09Q504003,No.N090504006) (No.N100604012,No.N09Q504003,No.N090504006)