Abstract
Multi-Protocol Label Switching (MPLS) netwoks transfers the data whith the help of labels. MPLS creates "virtual links" between distant nodes. MPLS can encapsulate packets of various network protocols. In MPLS packet-forwarding decisions are made solely on the contents of this label, without the need to examine the packet itself. This allows to create end-to-end circuits using any protocol. Congestion Control and Congestion avoidence is the main task in Traffic Engineering. Slow Start, ECN, RED, AIMD are some of the techniques available for congestion management. This paper compares the response time in MPLS network using Ant Colony Optimization (ACO) technique to avoid congestion and gives good results in terms of response time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chou, C.T.: Traffic engineering for MPLS-based virtual private networks. Computer Networks 44, 319–333 (2004)
Srivastava, S., van de Liefvoort, A., Medhi, D.: Traffic engineering of MPLS backbone networks in the presence of heterogeneous streams. Computer Networks 53, 2688–2702 (2009)
Palmieri, F.: An MPLS-based architecture for scalable QoS and traffic engineering in converged multiservice mobile IP networks. Computer Networks 47, 257–269 (2005)
Boscoa, A., Bottab, A., Conteb, G., Iovannaa, P., Sabellaa, R., Salsanoc, S.: Internet like control for MPLS based traffic engineering: performance evaluation. Performance Evaluation 59, 121–136 (2005)
Iovanna, P., Sabella, R., Settembre, M.: Traffic engineering strategy for multi-layer networks based on the GMPLS paradigm. IEEE Netw. 17(2), 28–37 (2003)
Di Caro, G., Dorigo, M.: AntNet: A Mobile Agents Approach to Adaptive Routing. Tech. Rep. IRIDIA/97-12, Univ. Libre de Bruxelles, Brussels, Belgium (1997)
Schoonderwoerd, R., Holland, O., Bruten, J.: Ant like agents for load balancing in tele-communication networks. In: Proceedings of the First Int. Conf. on Autonomous Agents, pp. 209–216. ACM Press, New York (1997)
Duan, H., Yu, X.: Hybrid Ant Colony Optimization Using Memetic Algorithm for Traveling Salesman Problem. In: Proceedings of the IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning, pp. 92–95 (2007)
Subramanian, D., Druschel, P., Chen, J.: Ants and reinforcement learning: A case study in routing in dynamic networks. In: Proceedings of the 15th Int. Joint Conf. on Artificial Intelligence, pp. 823–838. Morgan Kaufmann, San Francisco (1997)
Sim, K.M., Sun, W.H.: Ant Colony Optimization for Routing and Load-Balancing: Survey and New Directions. IEEE Transactions on Systems, Man, and Cybernetics 33(5), 560–572 (2003)
Xing, L.-N., Chen, Y.-W., Wang, P., Zhao, Q.-S., Xiong, J.: A Knowl-edge-Based Ant Colony Optimization for Flexible Job Shop Scheduling Problems. Applied Soft Computing 10, 888–896 (2010)
Lopez-Ibanez, M., Blum, C.: Beam ACO for the traveling sales man problem with time windows. Computers & Operations Research 37, 1570–1583 (2010)
Chandra Mohan, B., Sandeep, R., Sridharan, D.: A Data Mining Approach for Predicting Reliable Path for Congestion Free Routing Using Self-motivated Neural Network. In: Lee, R. (ed.) Soft. Eng., Arti. Intel., Net. & Para./Distri. Comp., vol. 149, pp. 237–246. Springer, Heidelberg (2008)
Chandra Mohan, B., Baskaran, R.: Redundant Link Avoidance Algorithm for improving Network Efficiency. International Journal of Computer Science Issues 7(3) (May 2010)
Rajagopalan, S., Naganathan, E.R., Herbert Raj, P.: Ant Colony Optimization Based Congestion Control Algorithm for MPLS Network. In: Mantri, A., Nandi, S., Kumar, G., Kumar, S. (eds.) HPAGC 2011. CCIS, vol. 169, pp. 214–223. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Naganathan, E.R., Rajagopalan, S., Narayanan, S. (2014). Response Time Comparison in Multi Protocol Label Switching Network Using Ant Colony Optimization Algorithm. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol I. Advances in Intelligent Systems and Computing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-03107-1_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-03107-1_9
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03106-4
Online ISBN: 978-3-319-03107-1
eBook Packages: EngineeringEngineering (R0)