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

提案编号：11-26393（联合体）11- 26747 PI：Bastani、Farokh Tian、Jeff Gupta、Gopal; Huynh、Dung T.;黄毅玲，李国;奈尔，苏伟兰研究机构：德克萨斯大学达拉斯分校;南卫理公会大学 MRI联盟/开发部：云计算系统的可靠性和质量测量工具项目建议：该项目旨在开发能够对云计算系统（包括云服务导向架构（SOA）系统）进行严格的实验质量和可靠性评估的工具，大大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水平协议（SLA），并提供支持云数据中心中使用的功率最小化的机制，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，如医疗保健和运输应用程序，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，安全性和安全性。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的评估：- 服务云中的QoS保证，-演进云中的可靠性优化，-服务云中的移动终端功率管理，-服务云中的高度安全组合的实现，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，用于验证和核实云性能，这被视为未来计算服务的关键要素。近年来，计算机服务一直在向远程虚拟机转移。在云中，？这种新的商业模式的商业成功是基于服务质量保证，随着云服务的复杂性和数量的增加，这变得越来越难以验证。这种类型的测试床对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：这种仪器大大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。它有助于培养一个强大的基于科学的计算实验范式，并提供能力，这将大大提高本科和研究生课程的计算机科学和工程，以及高级设计项目的质量，使学生能够在现实的平台上工作。该仪器增强了NSF I/UCRC的设施，并将提供给参与机构和工业合作伙伴的研究人员。

Proposal #: 11-26393 (Consortium) 11-26747PI(s): Bastani, Farokh & Tian, Jeff Gupta, Gopal; Huynh, Dung T.; Yen, I-Ling & Huang, LiGuo; Nair, SukumaranInstitution: University of Texas-Dallas; & Southern Methodist UniversityTitle: MRI Consortium/Dev.: Instrumentation for Measuring the Dependability and Quality of Cloud Computing SystemsProject Proposed: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.