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

项目描述：本项目支持乔治亚州亚特兰大市佐治亚理工学院电气与计算机工程系Yucel Altunbasak博士与土耳其伊斯坦布尔Koc大学计算机工程系Mehmet Civanlar博士的合作研究。他们建议研究开发一种集成了应用程序和网络层功能的多媒体流媒体新框架。媒体的及时交付是一项关键任务，必须开发新的应用程序感知流媒体方法来更好地支持这些服务。实时媒体分发对丢包和延迟施加了严格的限制，以达到最低限度的可接受质量。在没有服务质量保证的情况下，满足这些需求需要智能和网络自适应的源编码以及对现有网络资源的创新利用。pi将研究基于传统协议栈中垂直集成的方法。pi提出了多路径流的模型，并计划开发一种多路径选择方法，该方法在各种约束条件下选择一组路径，使客户端的整体质量最大化。Altunbasak博士和他的学生在易出错的网络上广泛研究视频处理和视频通信，并开发了几种新的算法来改进现有的标准。Civanlar博士是计算机网络体系结构和多媒体协议领域的专家，他的丰富经验补充了他们在这一领域的优势。这种专业知识的组合适合于该项目。范围：本研究的主要贡献将包括：多路径流模型的发展，特别是多描述编码视频流；开发和评估使用网络支持来辅助路径选择功能的技术；路径选择问题的多路径流方法表征及其评价利用现有的叠加基础设施，为建议的路径选择方法提供概念证明；设计一个可重复使用的实验平台，用于在洲际链路上试验所提出的路径选择方法。这项工作将超越目前简单环境中的路径选择方法，进入不久的将来的环境，将涉及更丰富和更苛刻的多媒体通信服务。研究成果将提高互联网上重要应用程序的性能。该项目将鼓励学生交换，并在两所院校开展涉及本科生的特定课程和项目。该项目将促进开发远程学习课程的解决方案。“资讯高速公路”及相关服务的改善，将间接惠及社会。

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.