ITR: Supporting Dynamic and Scalable Distributed System Infrastructures

ITR：支持动态且可扩展的分布式系统基础设施

• 批准号: 0082677
• 负责人: Raju Pandey
• 金额: $ 25万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0082677&HistoricalAwards=false
• 关键词: ITR; Supporting; Dynamic; Scalable; Distributed

Contemporary distributed systems are increasingly extensible, heterogenous and dynamically evolving. Further, the execution environment (including the hosts and the network) is dynamic in its underlying structure and capacity. This research project aims to develop and analyze an adaptable distributed programming environment (including a programming model and a runtime system) for effectively utilizing such complex systems. The research project will develop a programming environment in which programs and its components can freely migrate across different hosts. The distribution of program components across different hosts can be controlled by binding specific mobility paradigms with the components. Further, the mobility paradigms can be changed dynamically, both by an application and/or by the runtime system. Such a programming model entails an execution environment in which distribution of program components can be controlled dynamically in order to adapt to changes in load, resource availability, resource distribution, component distribution and computational capabilities of hosts. The research will also develop runtime system techniques for creation and management of mobile components, resource allocation and security. It will develop adaptive scheduling schemes that allow hosts to precisely control allocation of local and distributed resources to non real-time and real-time distributed components.

当代分布式系统的可扩展性、异构性和动态演进性日益增强。 此外，执行环境（包括主机和网络）的底层结构和容量是动态的。 该研究项目旨在开发和分析适应性强的分布式编程环境（包括编程模型和运行时系统），以有效利用此类复杂系统。 该研究项目将开发一个编程环境，其中程序及其组件可以在不同主机之间自由迁移。 程序组件在不同主机上的分布可以通过将特定的移动范例与组件绑定来控制。 此外，移动范例可以由应用程序和/或运行时系统动态地改变。 这种编程模型需要一个执行环境，在该执行环境中可以动态地控制程序组件的分布，以适应主机的负载、资源可用性、资源分布、组件分布和计算能力的变化。 该研究还将开发用于创建和管理移动组件、资源分配和安全性的运行时系统技术。 它将开发自适应调度方案，使主机能够精确控制本地和分布式资源向非实时和实时分布式组件的分配。