Improving the Convergence and Stability of Congestion Control Algorithm
The traditional TCP congestion control is inefficient for high speed networks and it is a challenge to design a high speed replacement for TCP. By simulating some existing high speed protocols, we find that these high speed protocols have limitations in convergence and stability. To address these problems, we apply a population ecology model to design a novel congestion control algorithm-Coupling Logistic TCP (CLTCP). It is based on bandwidth pre- assignment that is similar to XCP and Max Net. The pre-assignment rate factor is-computed in the routers based on the information of the router capacity, the aggregate incoming traffic and the queue length. Then the senders adjust the sending rate according to the pre-assignment rate factor which carries by the packet to strengthen the convergence and stability of transport protocol. The theoretical analysis and simulation results show that CLTCP provides not only fast convergence and strong stability, but also high utilization and fair bandwidth allocation regard less of round trip time.
Xiaomeng Huang Chuang Lin Fengyuan Ren Guangwen Yang Peter D. Ungsunan Yuanzhuo Wang
Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science Department of Computer Science and Technology, Network Institute Tsinghua University, Beijing, 10008
国际会议
The 15th IEEE International Conference on Network Protocols(ICNP 2007)(第15届IEEE国际网络协议大会)
北京
英文
206-215
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）