CSR-AES: Adaptive Real-Time Scheduling for Grid Computing

网格计算的自适应实时调度自动化的性能控制和资源管理是网格计算成功持续发展的关键。重要的第一步是新的调度算法和分析技术，它们在保证服务质量（QoS）的同时提供高性能，同时也简化了网格资源的管理。本研究的长期目标是研究和发展网格计算的自适应实时调度理论和技术。具体来说，该项目正在为异构集群中执行的可分割网格应用开发自适应实时调度理论和技术。本课题有三个目的：(1)为指导高效可分负载调度算法的设计建立实时的理论基础。研究了可分负荷理论的应用、调度算法的设计和可调度性分析技术。2)开发异构集群中支持实时网格计算资源预留的调度理论和工具。3)设计对系统不确定性具有自适应和鲁棒性的实时集群调度算法。研究了自适应反馈控制理论与实时可分负荷调度的结合。研究成果将通过发表论文、公共领域工具和参加会议的方式传播给研究界。一旦这些工具变得成熟和健壮，它们将被开放科学网格社区所使用。

Adaptive Real-Time Scheduling for Grid ComputingAutomated performance control and resource management is crucial for the successful continued evolution of grid computing. An important first step is new scheduling algorithms and analysis techniques that provide high performance with assured quality-of-service (QoS), while also simplifying the management of grid resources. The long-term goal of this research is to investigate and develop adaptive real-time scheduling theory and technology for grid computing. Specifically, this project is developing adaptive real-time scheduling theory and technology for divisible grid applications executing in heterogeneous clusters. This project has three aims: (1) To establish real-time theoretical foundations to guide the design of efficient divisible load scheduling algorithms. The application of divisible load theory, design of scheduling algorithms and schedulability analysis techniques are investigated. 2) To develop scheduling theory and tools in heterogeneous clusters that support resource reservations for real-time grid computing. and 3) To design real-time cluster-based scheduling algorithms that are adaptive and robust to system uncertainties. The integration of adaptive feedback control theory and real-time divisible load scheduling are investigated. Research results will be disseminated to the research community via published papers, public domain tools, and participation in conferences. Once the tools are mature and robust, they will be made available to the Open Science Grid community.