Paper Info
Title
Minimization of TCAM Usage for SDN Scalability in Wireless Data Centers.
Abstract
The software-defined networking (SDN) architecture has been widely deployed in data centers to support diverse cloud services. In order to provide fast access for flow table lookup, SDN switches usually use ternary content addressable memory (TCAM) to store their routing rules given by a controller. However, the number of TCAM entries is relatively small due to its high cost and high energy consumption. As traffic in data centers significantly increases, rule replacement will occur very frequently in SDN switches. As a result, massive flow setup requests are generated and cannot be processed by the controller in real time. To address the scalability issue, we propose a novel rule-reduction-based policy to minimize TCAM usage, thus alleviating the burden on the SDN controller. Specifically, we integrate the 60 GHz wireless technology into data centers and formulate a routing rule minimization problem under the hybrid architecture with wired and wireless links. The objective is to minimize the number of installed rules in switches. We then propose an efficient algorithm, with the consideration of TCAM limitations and flow sizes, to solve the problem. Results of a series of simulations show that our algorithm outperforms a well-known solution for wired data centers and two approaches for wireless data centers. The results also provide useful insights and guidelines for designing scalable SDN-based data centers.
Year
Venue
Keywords
2016
IEEE Global Communications Conference
SDN scalability,software-defined networking,ternary content addressable memory (TCAM),wireless data centers
Field
DocType
ISSN
Architecture,Control theory,Content-addressable memory,Wireless,Computer science,Computer network,Real-time computing,Minification,Control system,Cloud computing,Scalability,Distributed computing
Conference
2334-0983
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Ching-Chih Chuang1101.80
Yu, Y.201.35
Ai-Chun Pang362166.26
Guan-Yu Chen410.69