A source-controlled data center network model.
The construction of data center network by applying SDN technology has become a hot research topic. The SDN architecture has innovatively separated the control plane from the data plane which makes the network more software-oriented and agile. Moreover, it provides virtual multi-tenancy, effective scheduling resources and centralized control strategies to meet the demand for cloud computing data center. However, the explosion of network information is facing severe challenges for SDN controller. The flow storage and lookup mechanisms based on TCAM device have led to the restriction of scalability, high cost and energy consumption. In view of this, a source-controlled data center network (SCDCN) model is proposed herein. The SCDCN model applies a new type of source routing address named the vector address (VA) as the packet-switching label. The VA completely defines the communication path and the data forwarding process can be finished solely relying on VA. There are four advantages in the SCDCN architecture. 1) The model adopts hierarchical multi-controllers and abstracts large-scale data center network into some small network domains that has solved the restriction for the processing ability of single controller and reduced the computational complexity. 2) Vector switches (VS) developed in the core network no longer apply TCAM for table storage and lookup that has significantly cut down the cost and complexity for switches. Meanwhile, the problem of scalability can be solved effectively. 3) The SCDCN model simplifies the establishment process for new flows and there is no need to download flow tables to VS. The amount of control signaling consumed when establishing new flows can be significantly decreased. 4) We design the VS on the NetFPGA platform. The statistical results show that the hardware resource consumption in a VS is about 27% of that in an OFS.
Institute of Information Science, Beijing Jiaotong University, Beijing, People's Republic of China.|Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, People's Republic of China.
Yang
Y
Yu
Institute of Information Science, Beijing Jiaotong University, Beijing, People's Republic of China.|Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, People's Republic of China.
Mangui
M
Liang
Institute of Information Science, Beijing Jiaotong University, Beijing, People's Republic of China.|Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, People's Republic of China.
Zhe
Z
Wang
D000465:Algorithms; D003195:Computer Communication Networks / Q000295:instrumentation*; D016247:Information Storage and Retrieval / Q000379:methods; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D012984:Software