计算资源共享平台中工作流任务调度研究

提出了计算资源共享平台中具有时间约束的工作流任务调度方法,该方法利用了非集中式的树型应用层覆盖网络拓扑结构,从而可以高效而快速的收集资源的可用信息。采用全局调度器与本地调度器结合的方式,通过定义资源的收集功能过程,使每个节点中的本地调度器能够把自身的资源可用信息提供给全局的调度器,工作流中任务的最后期限时间约束和任务的恢复时间以一种时间间隙的机制来完成。仿真结果表明,分治模式和解方程类的迭代模式的工作流任务能够在平台上成功调度运行,具有比较快的响应时间和低的通信负载。

Task scheduler of workflows in computing resource sharing platform

A new scalable scheduler for task workflows with time constraints in computing resource sharing platform is proposed and described.It's built upon a tree-based P2P overlay that supports efficient and fast aggregation of resource availability information.A two-layered architecture with a local and global scheduler is also presented.Local scheduling defines policies at execution node level,while global scheduling matched workflow tasks with suitable execution nodes.A local scheduler in each node provides its ...