Insightful Workflow For Grid Computing
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.
- Research Organization:
- Stottler Henke Associates, Inc.
- Sponsoring Organization:
- USDOE Office of Science (SC)
- DOE Contract Number:
- FG02-06ER84519
- OSTI ID:
- 941421
- Report Number(s):
- DOE/ER/84519-2 Final Report; TRN: US201110%%187
- Country of Publication:
- United States
- Language:
- English
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