Insightful Workflow For Grid Computing

Dr. Charles Earl

关键词: ALGORITHMS;    COMPUTERS;    LEARNING;    PLANNING Grid Computing;    Workflow;    Planning and Scheduling;    Knowledge Engineering;    Learning Agents;   

DOI  :  10.2172/941421
RP-ID  :  DOE/ER/84519-2 Final Report
PID  :  OSTI ID: 941421
Others  :  TRN: US201110%%187

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

We developed a workflow adaptation and scheduling system for Grid workflow. The system currently interfaces with and uses the Karajan workflow system. We developed machine learning agents that provide the planner/scheduler with information needed to make decisions about when and how to replan. The Kubrick restructures workflow at runtime, making it unique among workflow scheduling systems. The existing Kubrick system provides a platform on which to integrate additional quality of service constraints and in which to explore the use of an ensemble of scheduling and planning algorithms. This will be the principle thrust of our Phase II work.