EAGER: Enabling research on migrating enterprises to the cloud using GENI

EAGER：利用 GENI 实现企业向云迁移的研究

• 批准号: 1049941
• 负责人: Sanjay Rao
• 金额: $ 11.6万
• 依托单位: Purdue University
• 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
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1049941&HistoricalAwards=false
• 关键词: EAGER; Enabling; research; migrating; enterprises

This research project is tackling challenges associated with migrating enterprise applications to the cloud, including (i) models to predict the impact on performance; (ii) methodologies for assurable policy reconfiguration; and (iii) architectures for cloud data-centers that can provide quality of service guarantees. This project is exploring how GENI can help validate our research, and will use resources including ProtoGENI, Planetlab, and Openflow. Intellectual Merit: Evaluations using a realistic environment such as GENI will (i) aid in determining models for predicting application performance that make an appropriate trade-off between accuracy and complexity; (ii) enable evaluation of designs for cloud data-center architectures; and (iii) lead to insights on principles for architecting cloud data-centers.Broader Impact: If successful, the project will have a transformative effect on IT organizations by enabling them to migrate to the cloud. The project will train graduate and undergraduate students on the use of GENI.

该研究项目正在解决与将企业应用程序迁移到云相关的挑战，包括（i）预测对性能影响的模型;（ii）可保证的策略重新配置方法;以及（iii）可以提供服务质量保证的云数据中心架构。该项目正在探索GENI如何帮助验证我们的研究，并将使用ProtoGENI，Planetlab和Openflow等资源。智力优势：使用真实环境（如GENI）进行评估将（i）有助于确定预测应用性能的模型，在准确性和复杂性之间进行适当的权衡;（ii）支持对云数据中心架构的设计进行评估;（iii）深入了解云数据中心架构的原则。如果成功，该项目将对IT组织产生变革性影响，使他们能够迁移到云。该项目将培训研究生和本科生使用GENI。