MRI: Development of a Virtual Cloud Computing Infrastructure
MRI: Development of a Virtual Cloud Computing Infrastructure
批准号:
1040123
负责人:
Larry Peterson
金额:
$294.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-10-01 至 2014-09-30
中文摘要
提案号:10-40123PI(s): Peterson, Larry L. Freedman, Michael J.;拜,Vivek;题目:MRI/Dev:虚拟云计算基础设施项目的开发建议:该项目,构建VICCI,一个可编程云计算研究试验台,在网络系统设计中实现广泛的研究议程,该系统需要多个存在点和重要的处理/存储能力。VICCI是一种分布式仪器,在普林斯顿大学、乔治亚理工大学、斯坦福大学和华盛顿大学以及欧洲和日本的国际集群中都有一个存在点,它包含了一套分布式的虚拟计算集群和网络硬件和软件,使多个研究人员能够在基础设施层和基础设施层之上进行创新。它旨在支持对使用环境的大规模分布式服务的设计和部署的研究。VICCI支持以下方面的研究:构建供其他云应用使用的块服务(解决复制、一致性、容错、可扩展性能、对象位置和迁移等问题);开发针对目标应用领域设计的新云编程模型;研究云基础上的交叉问题。S设计以及如何构建一个可信的云平台,以确保外包给云的计算的机密性和完整性。计划包括用PlanetLab的工作软件引导VICCI,最终目标是将结果折叠到VICCI本身,从而创建一个更有效的平台,用于研究可扩展的网络系统。更广泛的影响:该项目受到PlanetLab经验的强烈影响,该经验证明了在现实平台(即,足以吸引真实用户社区的平台)上部署实验性网络服务的重要性,为评估和部署可扩展的新网络服务提供了一个现实的环境。VICCI支持原型系统的部署研究。因此,通过支持从早期原型无缝迁移可伸缩服务和应用程序,它加速了研究和教学过程。此外,它还提供了一条重新激活创新过程的途径,这一过程导致了新的网络服务,广泛的消费者采用,并产生了新的经济和社会价值。它还为研究生提供了构建大型分布式系统的丰富经验,并可以利用该仪器设计更多的课程。
英文摘要
Proposal #: 10-40123PI(s): Peterson, Larry L. Freedman, Michael J.; Pai, Vivek; Rexford, JenniferInstitution: Princeton University Title: MRI/Dev: Development of a Virtual Cloud Computing Infrastructure Project Proposed:This project, building VICCI, a programmable cloud-computing research testbed, enables a broad research agenda in the design of network systems that requires both multiple point-of-presence and significant processing/storage capabilities on the sites. VICCI, a distributed instrument with a point-of-presence at Princeton, GeorgiaTech, Stanford, and U Washington, along with international clusters in Europe and Japan, encompasses both a distributed set of virtualized compute clusters and networking hardware and the software that enables multiple researchers to innovate both at and above the infrastructure layer. It is designed to support research both into the design and deployment of large-scale distributed services that use an environment. VICCI enables research in- Building block services (addressing issues of replication, consistency, fault-tolerance, scalable performance, object location, and migration) designed to be used by other cloud applications,- Developing new cloud programming models designed for targeted application domains, and- Studying cross-cutting issues at the foundation of the cloud?s design and how to build a trusted cloud platform that ensures confidentiality and integrity of computations that are outsourced to the cloud.Plans include bootstrapping VICCI with working software from PlanetLab with an ultimate goal of folding the results into VICCI itself, thus creating an even more effective platform for research into scalable network systems.Broader Impacts: This project, strongly influenced by the experience with PlanetLab that has demonstrated the importance of deploying experimental network services on realistic platforms (i.e., platforms that are realistic enough to attract the real user community), provides a realistic environment to evaluate and deploy scalable new network services. VICCI supports deployment studies of prototype systems. Thus, it accelerates research and teaching processes by supporting seamless migration of scalable services and applications from early prototypes. Moreover, it offers a path to re-energize the innovative process that has led to new network services, widespread consumer adoption, and generation of new economic and social value. It also provides graduate students with extensive experience in building large-scale distributed systems and enables the design of more courses taking advantage of the instrument.
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