CSR: Small: Resource Management for Real-time Cloud Computing

CSR：小型：实时云计算的资源管理

• 批准号: 1117185
• 负责人: Linh Thi Xuan Phan
• 金额: $ 45万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1117185&HistoricalAwards=false
• 关键词: CSR; Small; Resource; Management; Real

Cloud computing enables flexible, dynamic outsourcing while improving cost efficiencies. These operational and economic benefits, however, are today not available to safety-critical and mission-critical real-time applications due to the lack of timeliness supports by current cloud infrastructures. Providing real-time guarantees on cloud platforms faces several novel challenges because cloud platforms are not designed for response time guarantees but to achieve elasticity and the illusion of abundant resources available on demand.This research extends current cloud infrastructures with resource management techniques to enable real-time guarantees on the cloud. The proposed work focuses on the scheduling of data-intensive real-time applications onto cloud resources to meet their timing requirements. The project (i) proposes a formal framework for modeling and performance evaluation of real-time applications in cloud environments, with a focus on data-parallel middleware; (ii) develops algorithms for scheduling continuous streams of real-time cloud applications in an online setting; (iii) designs techniques to address issues introduced by virtualization and machine failures based on probabilistic models, hierarchical scheduling techniques, multi-mode techniques, and feedback control techniques; and (v) evaluates these techniques in the context of practical real-time applications. The research will result in the development of a real-time variant of at least one data-parallel middleware infrastructure by enhancing existing open-source platforms. Research prototypes will be released as open source to spur the research and development of cloud computing targeting real-time applications and systems. Research concepts and tools developed in this project will be incorporated into relevant courses at Penn.

云计算支持灵活、动态的外包，同时提高成本效益。然而，由于当前的云基础设施缺乏及时性支持，这些运营和经济效益如今不适用于安全关键型和任务关键型实时应用。在云平台上提供实时保障面临一些新的挑战，因为云平台不是为保证响应时间而设计的，而是为了实现弹性和按需提供丰富资源的假象。本研究利用资源管理技术对现有的云基础设施进行扩展，以实现云上的实时保障。拟议的工作重点是将数据密集型实时应用程序调度到云资源上，以满足其计时要求。该项目(I)提出了云环境中实时应用的建模和性能评估的形式化框架，重点是数据并行中间件；(Ii)开发了在线环境下调度实时云应用的连续流的算法；(Iii)基于概率模型、分层调度技术、多模式技术和反馈控制技术，设计了解决由虚拟化和机器故障引入的问题的技术；以及(V)在实际实时应用的背景下评估了这些技术。这项研究将通过加强现有的开源平台，开发至少一个数据并行中间件基础设施的实时变体。研究原型将以开源形式发布，以推动针对实时应用和系统的云计算的研发。在这个项目中开发的研究概念和工具将被纳入宾夕法尼亚大学的相关课程。