Paper Info
Title
Optimizing Routing Rules Space through Traffic Engineering Based on Ant Colony Algorithm in Software Defined Network
Abstract
Software Defined Network (SDN) has been envisioned as the next generation network infrastructure, which simplify network management by decoupling the control plane and data plane. It is becoming the leading technology behind many traffic engineering solutions, since it allows a central controller to globally plan the paths of the flows. However, Ternary Content Addressable Memory (TCAM), as a critical hardware storing rules in SDN-enabled devices, can be supplied to each device with very limited quantity because it is expensive and energy-consuming. To efficiently use TCAM resources, we address the routing rule space occupation problem for multiple unicastSessions with Quality-of-Service (QoS) constraints. To our best knowledge, this is the first work to joint routing rule optimization with traffic engineering for multipath flows. We formulate the problem using Mixed Integer Linear Programing (MILP) and propose an approach based on ant colony algorithm to solve it. Finally, we evaluate the expected performance of our proposed algorithm through a simulation study.
Year
DOI
Venue
2016
10.1109/ICTAI.2016.0026
2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI)
Keywords
Field
DocType
routing rule,traffic engineering,ant colony optimization,software defined network
Ant colony optimization algorithms,Forwarding plane,Multipath routing,Computer science,Quality of service,Computer network,Linear programming,Network management,Software-defined networking,Traffic engineering,Distributed computing
Conference
ISSN
ISBN
Citations 
1082-3409
978-1-5090-4460-3
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Chuangen Gao132.08
Hua Wang27614.82
Linbo Zhai3157.01
Shanwen Yi4166.34
Xibo Yao512.38