CAREER: Coordinated QoS-Driven Management of Cloud Computing and Storage Resources

智力优势：该项目涉及云计算。为了确保云用户能够轻松地在共享基础设施上运行他们的关键应用程序，并且确保云提供商能够支持经济的基于性能的服务水平协议，越来越迫切地需要虚拟化系统来提供性能保证。而且，随着虚拟化和云计算的普及，以系统的方式教授这些主题也很重要；特别是对这所PI大学的少数民族学生。为了应对这些挑战，NSF CAREER项目正在创建一个协调的资源管理框架，根据应用程序期望的服务质量（QoS）优化云计算和存储资源的分配。具体而言，该项目通过以下三个研究和教育组成部分来实现其目标：1)qos驱动的虚拟机资源管理框架，该框架可以协调各种计算和存储资源的分配，并根据虚拟化应用程序进行优化；2) QoS驱动的分布式虚拟机存储管理，允许根据应用QoS需求分配共享云存储资源，包括新兴的基于固态驱动的虚拟机存储和缓存；3)系统的虚拟化和云计算教育，利用研究成果提供虚拟化和云计算培训，包括针对研究生，本科生和K-12学生的新教育活动，以及新的基于虚拟机的在线教育系统，以促进这些活动。该项目的研究成果将使虚拟化系统能够支持具有动态和复杂行为的现代应用程序的性能保证。因此，具有不同QoS要求的更广泛的应用程序将受益于云计算，云服务将能够为其用户提供更经济的基于QoS的收费模式，而不是目前使用的基于资源容量的模式。该项目的教育成果将使从K-12到本科和研究生课堂的虚拟化和云计算系统教育成为可能，并培养一批具备这些新兴技术所需知识和技能的学生，为即将到来的云计算时代做出贡献。

Intellectual Merit:This project addresses Cloud Computing.To ensure that cloud users are comfortable with running their critical applications on shared infrastructures and that cloud providers can support economical performance-based service-level agreements, there is an increasingly urgent need for virtualized systems to deliver performance guarantees. And, as virtualization and cloud computing become pervasive, it is also important that these topics are taught in a systematic manner; especially to minority students served by this PI's university. In order to address these challenges, this NSF CAREER project is creating a coordinated resource management framework that optimizes the allocations of cloud computing and storage resources according to application-desired Quality of Service (QoS). Specifically, this project is accomplishing its objectives through the following three research and education components: 1) A QoS-driven virtual machine resource management framework that can coordinate the allocations of various computing and storage resources and optimize them according to the virtualized applications; 2) QoS-driven distributed virtual machine storage management that allows the allocation of shared cloud storage resources, including the emerging solid-state-drive-based virtual machine storage and caching, according to application QoS needs; 3) Systematic education on virtualization and cloud computing that harnesses the research outcomes to provide training in virtualization and cloud computing, including new education activities for graduate, undergraduate, and K-12 students, as well as a new virtual-machine-based online education system to facilitate these activities.This project's research outcomes will enable virtualized systems to support performance guarantees for modern applications with dynamic and complex behaviors. As a result, a broader range of applications with different QoS requirements will benefit from cloud computing, and cloud services will be able to offer their users more economical QoS-based charging models instead of the currently used resource-capacity-based models. This project's education outcomes will enable systematic education on virtualization and cloud computing from K-12 to undergraduate and graduate classrooms and prepare a pipeline of students who are equipped with the necessary knowledge and skills in these emerging technologies and prepared to contribute in the coming cloud computing era.