CAREER: Turning Cloud - Based Hosting Into a Utility

云计算模式为实现效用计算的长期目标开辟了新的可能性。效用计算表示希望以类似于我们使用其他商品化效用的方式获得、交付、使用、支付和管理IT。效用计算的主要吸引力在于它可以为IT资源的提供者和消费者之间的交互创建系统化的框架。特别是，效用计算应使消费者能够以积极和知情的方式参与在竞争供应商的透明"市场“中作出资源采购决定。当前基于云的产品的消费者对资源采购和控制的看法和控制有限，这是实现实用程序的重大障碍。这项研究将开发能够缩小这一差距的机制和技术，从而帮助在不久的将来将基于云的产品转变为成熟的实用程序。这项研究将定义，制定，并从根本上解决新的资源管理问题-消费者端计量，审计，虚拟和物理资源之间的动态映射-在云计算。 它将产生新的实用工具，通过简化和自动化目前不存在或不充分的与资源采购和调制相关的决策，减轻希望将其IT需求外包给云的应用程序开发人员和系统管理员的负担。 原型和源代码将与其他研究人员共享，以供独立使用，实验和部署。教学和研究的整合计划将包括：（i）通过REU补充让本科生参与研究，（ii）设计关于这一主题的新研究生课程，其中包括基于云托管教学试验台的项目，以及（iii）通过开源软件和研讨会在研究人员和行业中传播。

The cloud computing model has opened up new possibilities for the realization of the long-cherished goal of utility computing. Utility computing represents the desire to have IT acquired, delivered, used, paid for, and managed in a manner similar to the way we use other commoditized utilities. The principal appeal of utility computing lies in the systematized framework it could create for the interaction between providers and consumers of IT resources. In particular, utility computing should enable consumers to participate in active and informed ways in making resource procurement decisions in a transparent ``market'' of competing providers. Consumers of current cloud-based offerings have a limited view of and control over resource procurement and control, a significant hindrance in the realization of a utility. This research will develop mechanisms and techniques that would reduce this gap, thereby helping turn cloud-based offerings of the near future into mature utilities. This research will define, formulate, and solve fundamentally novel resource management problems---consumer-end metering, auditing, and dynamic mapping between virtual and physical resources---in cloud computing. It will result in novel utility-enabling facilities that will reduce the burden on application developers and system administrators wishing to outsource their IT needs to the cloud by easing and automating currently non-existent or inadequate decision-making related to resource procurement and modulation. Prototypes and source code will be shared with other researchers for independent use, experimentation, and deployment. The plan for integration of teaching and research will consist of (i) engaging undergraduates in research through REU supplements, (ii) design of new graduate courses on this topic with projects based on cloud-hosted teaching testbeds, and (iii) dissemination among researchers and industry via open-source software and workshops.