Collaborative Research: Resource and Data Management for Virtualized End-resources in Computational Grids
Collaborative Research: Resource and Data Management for Virtualized End-resources in Computational Grids
批准号:
0301108
负责人:
Renato Figueiredo
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2002
资助国家:
美国
项目状态:
已结题
起止时间:
2002-07-01 至 2007-08-31
中文摘要
这是西北大学(Northwestern University)和佛罗里达大学(University of Florida)之间的一项合作提案,旨在解决与动态虚拟机(VM)管理相关的关键研究挑战,并将这些机制与现有网格中间件技术相结合。该项目将开发新颖的解决方案,解决可动态创建的分布式虚拟化终端资源的资源管理、代表整个状态的数据按需传输以创建动态VM实例的映像管理以及网格上解耦的计算和数据服务器之间用户和应用程序数据按需传输的数据管理。所提出的方法将导致中间件解决方案,这些解决方案将形成网格计算的信息处理基础。该项目的软件将用于实现下一代网络计算中心,目前用于支持纳米技术、电子CAD、计算机体系结构和并行编程方面的模拟需求。该项目解决了关键的研究挑战,允许管理虚拟机中间件的动态实例,并将产生解决方案,形成虚拟化终端资源上网格计算的信息处理基础。特别地,这个计划所产生的软件将会被用来实施新一代的网络计算中心,这些网络计算中心目前被用来支持纳米技术、电子CAD、计算机架构和并行编程方面的模拟需求。
英文摘要
This is a Collaborative Proposal between Northwestern University and University of Florida which addresses the key research challenges associated with management of dynamic Virtual Machines (VM) and interfacing these mechanisms with existing grid middleware techniques. The project will develop novel solutions that will address- resource management for distributed virtualized end-resources that can be created dynamically,- image management for the on-demand transfer of data representing the entire state to create a dynamic VM instance, and- data management for the on-demand transfer of user and application data between decoupled compute and data servers on the grid.The proposed approach will lead to middleware solutions that will form an information processing foundation for grid computing. The software generated in this project will be sued to implement the next generation of network computing hubs currently being used to support simulation needs in nanotechnology, electronics CAD, computer architecture and parallel programming.The project addresses key research challenges to allow the management of dynamic instances of virtual machine middleware and will lead to solutions that will form an information processing foundation for grid computing on virtualized end-resources. In particular, the software generated in this project will be used to implement the next generation of network computing hubs currently being used to support simulation needs in nanotechnology, electronics CAD, computer architecture and parallel programming.
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