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Network multicast congestion control technology research

Author: WangCheng
Tutor: ChenQingHua
School: Nanjing University of Technology and Engineering
Course: Applied Computer Technology
Keywords: Multicast Congestion Control Buffer capita consumption Self-similar Exponential distribution Simulation
CLC: TP393.06
Type: Master's thesis
Year: 2011
Downloads: 18
Quote: 0
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Abstract


With the rapid development of network technology , relying more and more multicast transmission data at the same time more and more multicast . Multicast save bandwidth and reduce server and network load characteristics , so more and more widely used. But in the course of some problems , such as network congestion , TCP friendly multicast development bottlenecks , then you need to multicast network congestion control , congestion control , TCP streams and multicast streams transmission is more orderly , at the same time can be maintained to avoid packet loss and improve the balance between the network throughput . Establish sender - driven congestion control model based on multi - point-to-multipoint , single-rate multicast congestion controller -based campus network traffic parameters , the congestion controller stability analysis to obtain the values ??of the relevant parameters and by programming the controller to the theoretical simulation , and by the associated data comparison enables the system stable , and ultimately to obtain a set of optimum parameters . Theoretical simulation shows that the set of optimum parameters have better network performance, the amount of buffer occupancy of the transmission rate of the transmitting node and receiving node in a relatively short period of time can be stabilized . Then loaded two source -side self-similar traffic model and exponentially distributed flow model , based on a theoretical analysis of the relevant parameters , simulation experiments on NS2 platform , in order to strengthen the network dynamic behavior , divided into two source -side at the same time sending and interval 1000S sending both cases to analyze the effects of the bottle diameter of the buffer of the receiving node the mean value of the amount of occupation in the various load conditions , the maximum value and the packet loss situations . The simulation can be proved in the same network case , greater self-similar traffic sudden exponential distribution flow with greater load capacity . Through the above experiment , the theoretical basis for the multicast application based on the campus network , while access to the relevant network parameters after the design is based on the university campus network multicast applications is a good guide .

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