SCI/NMI/SGER: Towards Cognitive Grids: Knowledge-Rich Grid Services for Autonomous Workflow Refinement and Robust Execution

SCI/NMI/SGER：迈向认知网格：用于自主工作流程细化和稳健执行的知识丰富的网格服务

• 批准号: 0455361
• 负责人: Ewa Deelman
• 金额: $ 20万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-12-15 至 2006-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0455361&HistoricalAwards=false
• 关键词: SCI; NMI; SGER; Towards; Cognitive

This SGER proposal describes research on grid workflow refinement and execution for abstract workflows in two areas: preplanning and advance resource reservation; and context-aware dynamic planning and failure repair. Drawing from AI planning techniques, resource reasoning, and languages for expressive knowledge representation, techniques for workflow refinement will be developed. Mechanisms for monitoring and failure-detection based on models for expressive representation of the environments will also be developed. Resulting service implementations will build upon the existing Pegasus workflow mapping system and disseminated through Pegasus.

这SGER建议描述了网格工作流的细化和执行抽象的工作流在两个方面的研究：预先规划和提前资源预留，上下文感知的动态规划和故障修复。借鉴人工智能规划技术，资源推理，表达知识表示的语言，工作流细化的技术将被开发。还将开发基于环境表达模型的监测和故障检测机制。由此产生的服务实现将建立在现有的Pegasus工作流程映射系统的基础上，并通过Pegasus传播。