摘要
现有网格环境下集中式资源管理和调度策略逐渐暴露出扩展性不佳、资源负载不平衡等问题。在基于计算市场模型的网格环境下,利用供求规律,设计并仿真了一种分布式网格资源调度系统。该系统采用用户与资源进行双向选择的模式,通过启发式的策略,动态调节资源价格,控制用户和资源的行为。仿真结果表明该系统能有效解决网格环境中资源负载平衡问题,具有良好的可扩展性和灵活性,在保证服务质量的基础上,任务完成率方面比Nimrod/G提高了22.5%。
Existing resource management and scheduling systems for grid have troubles in scalability and load balance. Based on the computational economy-based model, a distributed resource scheduling system for grid environment was proposed using supply and demand theory. The system provided a bi-directional choosing mechanism and a QoS guaranteeing mechanism for users and resources to supervise them heuristically. The simulation result of the system shows that the system is scalable, flexible and capable of handling load balance well. Meanwhile it guarantees QoS of tasks. Task accomplishment ratio in DIRSS-G is greater than that in Nimrod/G by 22.5%,
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2006年第4期932-937,共6页
Journal of System Simulation
基金
国家自然科学基金项目(60273041)
国家863重点项目(2002AA104560)
关键词
计算市场模型
双向选择
负载平衡
服务质量
computational economy-based model
bi-directional choosing
load balance
QoS
