报告题目: |
Inbound Traffic Load Balancing in BGP Multi-homed Stub Networks |
报告人: |
Li Xiao |
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an assistant professor of computer science and engineering
at the Michigan State University
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报告时间: |
2008-06-20 09:00 |
报告地点: |
东主楼10－103 |
主办单位: |
计算机科学与技术系 |
简介: |
摘要:
Multihoming refers to the technology where a single network has multiple connections to the Internet. Today, many companies require reliable Internet connections due to increased business requirements and network traffic load. As a result, there is an increasing trend of deploying multihoming, and this trend is likely to continue with the availability of inter-domain traffic engineering tools and techniques. I will start the talk with a brief discussion on current research issues on multihoming technology, and then focus on presenting our work on multihoming load balancing. Multihoming load balancing improves network performance by leveraging the traffic among multiple access links in a multi-homed network. Currently, no effective load balancing system is available to handle the inbound traffic in a BGP multi-homed stub network, where the traffic volume is unknown to the network and the route of the traffic is hard to control. In this talk, I will introduce our ongoing work, ILBO - an inbound traffic load balancing mechanism, to effectively balance the inbound traffic in a BGP multi-homed stub network. ILBO predicts and schedules the inbound traffic based on outbound traffic. It also provides an inbound traffic control scheme that can guarantee the successful execution of the traffic scheduling. At the end of the talk, if possible, I will briefly introduce the research in our group on wireless sensor networks in complicated environment and on multi-channel multi-radio mesh networks.
报告人简历:
Li Xiao is an assistant professor of computer science and engineering at the Michigan State University. Her research interests are in the areas of distributed and Internet systems, overlay networks and applications, wireless sensor networks and mesh networks, system resource management, and design and implementation of experimental algorithms. Her research has been supported by the National Science Foundation, Microsoft Research, the Internet2 program, and Michigan Space Grant Consortium. She has served on various technical program committees for conferences in the areas of distributed systems and computer networks, such as ICDCS, INFOCOM, and PerCom. She received the PhD degree in computer science from the College of William and Mary in 2002. More information can be found at http://www.cse.msu.edu/~lxiao/
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