U.S.-Turkey Collaborative Research: Cross-Layer Approaches for Interactive Media Streaming

0352824 AlTunbasak描述：该项目支持佐治亚州亚特兰大佐治亚理工学院电气和计算机工程系Yucel AlTunbasak博士和土耳其伊斯坦布尔Koc大学计算机工程系Mehmet Civanlar博士之间的合作研究。他们建议研究开发一种新的多媒体流媒体框架，将应用层功能和网络层功能相结合。及时交付媒体是一项关键任务，必须开发新的应用感知流传输方法以更好地支持这些服务。实时媒体分发对分组丢失和延迟施加了严格的限制，以获得最低可接受的质量。在没有服务质量保证的情况下，满足这些需求需要智能的和网络自适应的信源编码以及对现有网络资源的创新利用。PI将调查传统协议堆栈中基于垂直整合的方法。PI提出用于多路径流传输的模型，并计划开发多路径选择方法，该方法在各种约束下选择一组路径以最大化客户端的整体质量。阿尔通巴萨克博士和他的学生在视频处理和通过容易出错的网络进行视频通信方面进行了广泛的研究，并开发了几种新的算法来改善现有的标准。他们在这一领域的实力得到了Civanlar博士丰富经验的补充，他是计算机网络架构和多媒体协议领域的专家。范围：这项研究的主要贡献将包括：开发多路径流模型，特别是多描述编码视频流；开发和评估利用网络支持来辅助路径选择功能的技术；多路径流方法的特征及其对路径选择问题的评估；使用现有的覆盖基础设施为建议的路径选择方法提供概念证明；设计可重复使用的实验平台，用于在洲际链路上试验建议的路径选择方法。这项工作将超越今天更简单的环境中的路径选择方法，进入不久的未来环境，其中将涉及更丰富和更苛刻的多媒体通信服务。研究成果将提升互联网上重要应用程序的性能。该项目将鼓励学生交换，并在这两个机构的特定班级和项目，将涉及本科生。该项目将促进开发远程学习课程的解决方案。社会将间接受益于信息高速公路和相关服务的任何改善。

0352824 AltunbasakDescription: This project supports collaborative research between Dr. Yucel Altunbasak, Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia and Dr. Mehmet Civanlar, Department of Computer Engineering, Koc University, Istanbul, Turkey. They propose to study the development of a new framework for multimedia streaming that integrates the application and network layer functionality. Timely delivery of the media being a critical task, new application-aware streaming methods have to be developed to support these services better. Real-time media distribution imposes stringent bounds on the packet loss and delay to achieve a minimally acceptable quality. Under no quality-of-service guarantees, satisfying these demands requires intelligent and network adaptive source coding plus innovative use of the existing network resources. The PIs will investigate methods based on vertical integration in the conventional protocol stack. The PIs propose models for multi-path streaming and plan to develop a multi-path selection method that chooses a set of paths maximizing the overall quality at the client under various constraints. Dr. Altunbasak and his students have worked extensively on video processing and video communications over error-prone networks and developed several new algorithms to improve the existing standards. Their strength in this area is complemented by the extensive experience of Dr. Civanlar, who is an expert in the areas of computer network architectures and protocols for multimedia. This combination of expertise is appropriate for the project.Scope: The main contributions of this research will include: development of multi-path streaming models, particularly for multiple description encoded video streaming; development and evaluation of techniques for the use of network support to aid the path selection function; characterization of multi-path streaming methods and their evaluation for path selection problem; use of existing overlay infrastructure to provide proof of concept for the proposed path selection method; design of a reusable experimental platform for experimenting with proposed path selection method over intercontinental links. The work will go beyond the path selection methods in today's simpler environments into the near-future environments that will involve much richer and more demanding multimedia communication services. The research results will enhance performance of important applications over the Internet. The project will encourage student exchange, and specific classes and projects in both institutions that will involve undergraduate students. The project will promote developing solutions for distance learning classes. The society will indirectly benefit from any improvements on the 'information highways' and the related services.