面向數(shù)據(jù)中心的軟件定義網(wǎng)絡技術(shù)研究
[Abstract]:As the core infrastructure of cloud computing, data center network is a bridge that connects tens of thousands, 100,000 or even millions of large-scale server clusters to carry out large-scale distributed computing, so it has become a hot spot in Internet research. With the expansion of the network scale, the data information that the data center needs to deal with also presents the explosive growth trend, the construction management is complex, the control is inflexible and so on, has affected the further development of the data center network. By using software definition network (Software Defined Networking,SDN) technology to build data center, not only the network management of data center can be simplified, but also its network performance can be optimized, and the service carrying capacity of data center can be further improved. As a result, the industry and academia have been widely valued. In this paper, the application scheme of SDN technology in data center network, software definition network and current data center network is studied in detail, and the key technology of SDN realization, Openflow and the forwarding mechanism of network data message, are studied in detail in this paper. At the same time, the Openflow stream table forwarding strategy based on TCAM (Ternary Content Addressable Memory, three-state content addressable memory is analyzed. In the process of research, we find that there are still some technical bottlenecks in the practical application of Openflow. For example, the cost of fast lookup of TCAM memory and memory problem in routers / switches. In this paper, CMDDBF (Combined Multi-Dimension Dynamic Bloom Filter, combined with multidimensional dynamic Bloom filter is proposed to replace TCAM in Openflow switch to realize stream table forwarding and processing. CMDDBF solves the disadvantages of low TCAM space utilization and high price. CMDDBF has good flexibility and extensibility, and it is more suitable for the search and processing of flow table in Openflow switch. Through experimental analysis, CMDDBF has good performance in reducing error rate.
【學位授予單位】:北京交通大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TP308
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