An Adaptive Resource Scheduling Algorithm for Computational Grid

摘要：

The emerging computational grid infrastructure consists of heterogeneous resource in widely distributed autonomous domains, which makes resource scheduling even more challenging. In this paper, we propose an adaptive resource scheduling algorithm for computational grid called BLBD (Based on Load Balancing and Demand). According to the computational grid jobs personal resource requirements, the system load of computational grid nodes and the load balancing of computational grid system, the algorithm choose an appropriate node self-adaptively for computational grid job from the candidates. It has been successfully tested in NPU Campus Computational Grid environment. The experimental result shows that the new task scheduling algorithm can lead to significant performance gain for a variety of applications

作者: Tao Wang Xing-she Zhou Qiu-rang Liu Zhi-yi Yang Yun-lan Wang

作者单位: Centre for High Performance Computing, North-western Polytechnical University, Xian, Shaanxi, 710072, China

会议类型: 国际会议

会议名称: 2006 Asia-Pacific Services Computing Conference(IEEE亚太地区服务计算会议)

会议地点: 广州

会议语种:英文

页码: 447-450

在线出版日期: 2006-12-12（万方平台首次上网日期，不代表论文的发表时间）