MRI Consortium: Development of Instrumentation for Measuring the Dependability and Quality of Cloud Computing Systems

MRI 联盟：开发用于测量云计算系统可靠性和质量的仪器

• 批准号: 1126747
• 负责人: Jeff Tian
• 金额: $ 48.74万
• 依托单位: Southern Methodist University
• 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 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1126747&HistoricalAwards=false
• 关键词: MRI; Consortium; Development; Instrumentation; Measuring

This project, aiming to develop instrumentation that enables rigorous experimental quality and dependability assessment of cloud computing systems, including cloud service-oriented architecture(SOA) systems, dramatically enhances the validation capability of cloud platform services and cyberinfrastructure. Cloud platforms must meet specified service level agreements (SLA) and provide mechanisms to support the minimization of the power used in cloud data centers without adversely affecting the quality of service (QoS). Also, some safety-critical emerging cloud applications, such as health-care and transportation applications, must meet stringent dependability requirements, that include high availability, reliability, performance, resilience, safety, and security. The proposed work establishes a high performance, metrics-driven instrument enabling rigorous evaluation for the following research projects on cloud performance: - Assurance of QoS in Service Clouds,- Optimization of Dependability in Evolving Clouds,- Mobile Device Power Management in Service Clouds,- Achievement of Highly Secure Compositions in Service Clouds, and- Testing and Validation of Secure Hardware-Software Architectures.The work aims to develop a flexible instrument for validation and verification of cloud performance, seen to be a key element in the future of computing services. In recent years, computer services have been moving to remote virtual machines ?in the cloud.? The commercial success of this new business model is based on service quality guarantees, which are becoming increasingly hard to verify as the complexity and volume of cloud services increase. Testbeds of this type are critical to the economic and research vitality of the academic and industrial communities.Broader Impacts: This instrumentation substantially raises the quality, scale, and scope of experimental research in dependability enhancement methods for cloud computing systems. It helps foster a strong scientifically based experimental paradigm for computing and provides capabilities that will greatly enhance the quality of undergraduate and graduate courses in computer science and engineering, as well as senior design projects by enabling students to work on realistic platforms. The instrumentation enhances the facilities of an NSF I/UCRC and will be available to researchers at the participating institutions and industrial partners.

该项目旨在开发能够对云计算系统（包括面向云服务的架构（SOA）系统）进行严格的实验质量和可靠性评估的仪器，显着增强云平台服务和网络基础设施的验证能力。云平台必须满足指定的服务级别协议（SLA），并提供支持最小化云数据中心功耗的机制，而不会对服务质量（QoS）产生不利影响。此外，一些安全关键的新兴云应用程序（例如医疗保健和交通应用程序）必须满足严格的可靠性要求，包括高可用性、可靠性、性能、弹性、安全性和保障。拟议的工作建立了一个高性能、指标驱动的工具，可以对以下云性能研究项目进行严格评估： - 服务云中的 QoS 保证， - 不断发展的云中的可靠性优化， - 服务云中的移动设备电源管理， - 服务云中高度安全的组合的实现，以及 - 安全硬件-软件架构的测试和验证。这项工作旨在开发一种灵活的工具，用于验证和验证 云性能被视为未来计算服务的关键要素。近年来，计算机服务已转移到“云中”的远程虚拟机。这种新业务模式的商业成功基于服务质量保证，而随着云服务的复杂性和数量的增加，服务质量保证变得越来越难以验证。此类测试平台对于学术界和工业界的经济和研究活力至关重要。更广泛的影响：该仪器极大地提高了云计算系统可靠性增强方法实验研究的质量、规模和范围。它有助于培育强大的基于科学的计算实验范式，并通过使学生能够在现实平台上工作，提供极大提高计算机科学与工程本科生和研究生课程以及高级设计项目质量的功能。该仪器增强了 NSF I/UCRC 的设施，并将可供参与机构和工业合作伙伴的研究人员使用。