U.S. - Pakistan International Planning Visit: Economical Computing Substrate for Developing Regions

0940048巴特描述：该奖项是为了支持弗吉尼亚理工学院和弗吉尼亚州布莱克斯堡州立大学计算机科学系阿里·巴特博士的计划访问。这位外国合作者是巴基斯坦拉合尔拉合尔管理科学大学的奥马尔·赛义夫博士。PI将与外国合作者进行面对面的互动，以评估现有的资源和设施，并采访未来的研究生研究人员，并评估进行拟议研究的可行性。其目的是最后确定计划，以便在2009年晚些时候针对国家科学基金/国家科学研究中心提交一项合作提案。这位外国科学家奥马尔·赛义夫博士是一位非常有成就的年轻科学家，他在美国一所著名大学拥有研究经验。赛义夫？S的研究是关于无处不在的计算、操作系统和分布式系统、移动系统、高速路由体系结构以及IT在发展中国家的影响。这些技能补充了Pi？S在开发健壮的经济型资源共享系统、网格计算和针对数据密集型计算的系统级优化方面的专业知识。智力价值日常生活中对计算机的日益依赖正在推动对易于获取的计算资源的需求。提供计算、存储和网络资源以支持现代应用程序是一项挑战，尤其是在经济限制甚至限制了基本计算机服务的贫困地区。这项计划的研究旨在设计一种经济的计算底层，它透明地从配置良好的设置中获取未使用的资源，以支持特权较低用户的应用程序。当没有理由获得专用资源时，也可以使用这种衬底，例如，学术实验。更广泛的影响拟议项目的研究结果将对广泛的计算机使用产生广泛的影响，包括贫困地区的基本计算、学术实验和减少企业计算中的资源浪费。合作将为合作研究开辟新的天地，并将能够确定用户在开发过程中面临的具体研究问题。

0940048 ButtDescription: This award is to support a planning visit by Dr. Ali Butt, Computer Science Department, Virginia Polytechnic Institute and State University, Blacksburg, Virginia. The foreign collaborator is Dr. Umar Saif at the Lahore University of Management Sciences, Lahore, Pakistan. The PI will have in-person interactions with the foreign collaborators to evaluate the available resources, facilities and to interview prospective graduate researchers, and assess the feasibility of conducting the proposed research. The purpose is to finalize plans for a collaborative proposal to be submitted in response to NSF/CNS later in 2009. The foreign scientist, Dr. Umar Saif is a highly accomplished young scientist who has research experience at a prestigious US university. Saif?s research is on ubiquitous computing, operating and distributed systems, mobile systems, high-speed routing architectures and the impact of IT in developing world countries. These skills complement the PI?s expertise in developing robust economical resource-sharing systems, grid computing, and system-level optimizations for data-intensive computing. Intellectual Merit The increasing reliance on computers in our daily lives is driving the demand for easily accessible computing resources. Providing computational, storage, and network resources to sustain modern applications is a challenge, especially in under-privileged areas where economical constraints limit even basic computer services. The projected research aims to design an economical computing substrate that transparently harvests unused resources from well-provisioned setups to support applications of under-privileged users. Use of such a substrate can also be employed when acquisition of dedicated resources is not justified, e.g., academic experimentation. Broader Impact Research results from the proposed project will have a broad impact on wide-ranging computer use, as diverse as basic computing in under-privileged regions, academic experimentation, and mitigating resource wastage in enterprise computing. The collaboration will open new horizons for collaborative research, and will enable identification of specific research problems faced by users in developing.