Topics: Software Defined Networking
 
 
	Authors: Sai Qian Zhang (University of Toronto, Canada); Qi Zhang (University of Toronto & University of Waterloo, Canada); Ali Tizghadam (TELUS & University of Toronto, Canada); Byungchul Park, Hadi Bannazadeh and Alberto Leon-Garcia (University of Toronto, Canada); Raouf Boutaba (University of Waterloo, Canada)
Presenter Bio: ALI TIZGHADAM is currently a Senior Research Associate and Adjunct 
Lecturer in the Department of Electrical & Computer Engineering at 
the University of Toronto. He received his M.A.Sc in 1994 for University
 of Tehran in Electrical Engineering. Then he went to the industry for 
about 10 years where he gained an abundance of experience in 
telecommunications especially in local exchange switches and access 
networks. He started his PhD in 2003 and finished 2008. His major 
interest are in Autonomic Network Control and Management, Traffic 
Engineering, Network Planning, Intelligent Transportation Systems (ITS),
 Connected Vehicles and Smart Transportation, and Green Communications .
 
 
	Abstract: In Software Defined Networking (SDN), a central controller can achieve 
fine-grained control over individual flows by installing appropriate 
forwarding rules in switches and routers. This allows the network to 
realize a wide variety of functionalities and objectives. But at the 
same time, these flexibility and versatility come at the expense of (1) a
 huge burden on the limited Ternary Content Addressable Memory (TCAM) 
space, and (2) limited scalability due to the large number of forwarding
 rules that are required in the network. To address these limitations, 
we present Sector, a switch memory-aware routing scheme that reduces the
 number of entries in the switches, and at the same time guarantees the 
load balancing on link resources utilization. We consider both the 
static and dynamic versions and propose solution algorithms. Experiments
 show our algorithms can reduce the TCAM space usage and network control
 traffic by 20% to 80% on different network topologies.