摘要
任务调度是网格研究的核心问题之一,在研究网格任务调度问题的基础上,利用模糊聚类思想提出将网格任务与资源进行混合模糊聚类的网格独立任务调度算法,该算法将最适合的资源分配给与之相适应的任务,即尽量将任务调度到恰好满足其需求的资源上执行,从而把综合能力大大超过当前任务的资源"预留"给将来的任务使用,算法具有良好的性能和负载均衡效果,为网格任务调度提供一种新的思路。
Task scheduling is one of the key problems in the field of grid computing research area. Based on analyzing research works done in grid task scheduling field, this paper gives out a novel gird independent task scheduling algorithm based on hybrid clustering of grid tasks and resources. By using the method of fuzzy clustering of task and resources, this algorithm tries to schedule the task to the grid resource which exactly satisfies the needs of the task, and tries to avoid allocating the tasks to grid resources that extremely exceed the task＇s needs. In this way, the algorithm reserves the competent grid resources for future use when they are needed by complex grid tasks, while efficiently satisfy the needs of current tasks. This novel algorithm has high efficiency and sound load balancing capability, and provides a new way for grid tasks scheduling.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第22期19-21,24,共4页
Computer Engineering
基金
国家自然科学基金资助项目(60475040)
粤港关键领域重点突破基金资助项目(2005A10307007)
关键词
网格
任务调度
模糊聚类
任务资源混合聚类
负载均衡
grid
task scheduling
fuzzy clustering
task ＆ resource hybrid clustering
load balancing
