Collaborative Research: A Hybrid Systems Framework for Scalable Analysis and Design of Communication Networks

本提案寻求对当前NSF项目的补充资金，该项目名为协作：通信网络可扩展分析和设计的混合系统框架，批准号：~ 0322476.这笔额外的资金将使主要研究人员（PI）能够将正在进行的项目的范围扩大到新的方向，即异构网络，其中包括连接到有线骨干基础设施的重要无线接入组件。PI预计，开发的混合系统的方法可能会有显着的影响建模，仿真，评估和开发协议的下一代异构internetworks.Intellectual优点：提出的研究将产生一个可扩展的方法来研究异构数据通信网络的科学基础。特别是，该项目将解决：1）基于混合系统形式主义的大规模异构通信网络的多分辨率模型的开发。多分辨率是通过改变强制的聚合量来实现的，并提供了研究大规模无线网络所需的可扩展性。 2)开发基于模型的工具，用于数据通信网络的形式分析，特别是用于评估和调整网络协议。提案人组成了一个多学科，多大学的研究小组，在计算机网络和互联网的背景（K。Obraczka，UCSC）;计算机网络和建模与仿真（S。Bohacek，UD）;和Control Theory and Hybrid Systems（J. Hespanha，UCSB）。他们有着悠久的合作历史，包括联合指导研究生。特别是，Junsoo Lee，在此补充下支持的博士后，由PI共同提供建议。该补充将支持Lee博士与贝尔实验室研究人员Marina Thottan和Wonsuck Lee一起工作，并访问他们，他们对合作感兴趣，以便调整混合系统方法，以满足贝尔实验室和网络行业的未来需求。这项工作将扩大混合系统-基于仿真工具，开发下的主要部分，这一努力的网络，包括一个重要的无线组件。这些工具将有助于下一代网络的部署和分析。该项目也有一个重要的教育部分，有两个主要目标：1）向UCSC，UCSB和UD的学生群体传播网络建模，分析和设计的最新技术，特别是该项目的研究成果。 2)吸引一些最聪明的本科生到这一研究领域，并鼓励他们发展在科学研究和专业工程职业生涯中取得成功所需的严谨和分析思维。所有成果，包括论文、报告和软件，都将通过万维网免费提供给研究和工业界。课程材料（包括课堂讲稿、家庭作业和专题）也将通过网络免费提供给学术界。

Abstract053412905341340534018This proposal seeks supplemental funding to a current NSF project entitled Collaborative: A Hybrid Systems Framework for Scalable Analysis and Design of Communication Networks, Grant No.~0322476. This additional funding will allow the principal investigators (PIs) to expand the scope of on ongoing project toward new directions namely, heterogeneous networks that include significant wireless access components connected to a wired backbone infrastructure. The PIs anticipate that the hybrid systems methodology developed will likely have significant impact on modeling, simulating, evaluating, and developing protocols for next-generation heterogeneous internetworks.Intellectual merit: The research proposed will produce the scientific foundation for a scalable methodology to study heterogeneous data communication networks. In particular, the project will address the: 1) Development of multi-resolution models for large-scale, heterogeneous communication networks based on a hybrid systems formalism. Multi-resolution is achieved by varying the amount of aggregation enforced and provides the scalability needed to study large-scale, wireless networks. 2) Development of model-based tools for formal analysis of data communication networks, and in particular, for evaluating and tuning network protocols. The proposers form a multi-disciplinary, multi-university research group with backgrounds in Computer Networks and the Internet (K. Obraczka, UCSC); Computer Networks and Modeling and Simulation (S. Bohacek, UD); and Control Theory and Hybrid Systems (J. Hespanha, UCSB). They have a long history of past collaboration, including joint co-advising of graduate students. In particular, Junsoo Lee, the postdoc to be supported under this supplement, was co-advised by the PIs. This supplement will support Dr. Lee working with and visiting Bell Labs researchers Marina Thottan and Wonsuck Lee who are interested in collaboration so as to adapt the hybrid systems methodology to meet the future needs of Bell Labs and the networking industry.Broader impacts: This effort will extend the hybrid systems-based simulation tools that were developed under the main part of this effort to networks that include a significant wireless component. These tools will aid the deployment and analysis of next generation networks. This project also has a significant educational component with two main goals:1) Disseminate to the student population of UCSC, UCSB, and UD the state-of-the-art in network modeling, analysis, and design, in general, and in the research achievements of this project in particular. 2) Attract to this area of research some of the brightest undergraduate students and encourage them to develop the rigorous and analytical thinking required for success in scientific research and also in a professional engineering career. All the results, including papers, reports, and software will be made available freely to the research and industry communities through the World Wide Web. The course materials (including lecturenotes, homeworks, and projects) will also be freely available to the academic community via the Web.