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

智力优势：该项目致力于云计算。为了确保云用户能够在共享基础设施上轻松运行其关键应用程序，并确保云提供商能够支持经济实惠的基于性能的服务级别协议，对虚拟化系统提供性能保证的需求日益迫切。而且，随着虚拟化和云计算的普及，系统地教授这些主题也很重要；特别是针对这所PI大学服务的少数族裔学生。为了应对这些挑战，该NSF职业项目正在创建一个协调的资源管理框架，以根据应用程序所需的服务质量(Qos)优化云计算和存储资源的分配。具体地说，本项目通过以下三个研究和教育组件来实现其目标：1)服务质量驱动的虚拟机资源管理框架，可以协调各种计算和存储资源的分配，并根据虚拟化的应用程序进行优化；2)服务质量驱动的分布式虚拟机存储管理，允许根据应用程序的服务质量需求分配共享的云存储资源，包括新兴的基于固态驱动器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方面的培训，包括为研究生、本科生和K-12学生提供新的教育活动，以及促进这些活动的新的基于虚拟机的在线教育系统。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的性能保证。因此，更多具有不同服务质量要求的应用将从云计算中受益，云服务将能够为其用户提供更经济的基于服务质量的收费模式，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到本科生和研究生课堂的虚拟化和云计算方面的系统教育成为可能，并培养一批具备这些新兴技术的必要知识和技能并准备在即将到来的云计算时代做出贡献的学生。

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.