Q-Net: A Novel QoS Aware Routing Algorithm for Future Data Networks
Autor: | Maassoumeh Javadi Baygi, Ramli, Abdul Rahman B, Borhanuddin Mohd Ali, Syamsiah Mashohor |
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Jazyk: | angličtina |
Rok vydání: | 2010 |
Předmět: | |
DOI: | 10.5281/zenodo.1084708 |
Popis: | The expectation of network performance from the early days of ARPANET until now has been changed significantly. Every day, new advancement in technological infrastructure opens the doors for better quality of service and accordingly level of perceived quality of network services have been increased over the time. Nowadays for many applications, late information has no value or even may result in financial or catastrophic loss, on the other hand, demands for some level of guarantee in providing and maintaining quality of service are ever increasing. Based on this history, having a QoS aware routing system which is able to provide today's required level of quality of service in the networks and effectively adapt to the future needs, seems as a key requirement for future Internet. In this work we have extended the traditional AntNet routing system to support QoS with multiple metrics such as bandwidth and delay which is named Q-Net. This novel scalable QoS routing system aims to provide different types of services in the network simultaneously. Each type of service can be provided for a period of time in the network and network nodes do not need to have any previous knowledge about it. When a type of quality of service is requested, Q-Net will allocate required resources for the service and will guarantee QoS requirement of the service, based on target objectives. {"references":["D. Chalmers, M. Sloman: Survey of Quality of Service in Mobile\nComputing Environments, - IEEE Communications surveys, (1999).","G. Bochmann, A. Hafid: Some principles for quality of service\nmanagement, Distrib. Syst. Engng. l4, 16-27 (1997).","X. Masip-Bruin et al: Research challenges in QoS routing, Computer\nCommunications. 29, 563-581 (2006).","Z. Wang, J. Crowcroft: Quality of service routing for supporting\nmultimedia applications, IEEEJSAC. 14, 7 (1996).","G. D. Caro, M. Dorigo: AntNet: Distributed stigmergetic control for\ncommunications networks, J. Artif. Intell. Res. 9, 317-365 (1998).","G. D. Caro, M. Dorigo: AntNet: A Mobile Agents Approach to Adaptive\nRouting, Univ. Libre de Bruxelles, Brussels, Belgium, Tech. Rep.\nIRIDIA/9712 (1997).","G. D. Caro, M. Dorigo: Mobile agents for adaptive routing, In Proc.\n31st Hawaii Int. Conf. Systems Sciences, Kohala Coast, HI, Jan. ,pp.\n74-83 (1998).","G. D. Caro, M. Dorigo: An adaptive multi-agent routing algorithm\ninspired by ants behavior, In Proc. 5th Annual Australasian Conf.\nParallel Real-Time Systems 261-272 (1998).","N. Varela, M. C. Sinclair: Ant colony optimization for virtualwavelength-\npath routing and wavelength allocation, In Proc. Congress\nEvolutionary Computation, Washington, DC, pp. 1809-1816 (1999).\n[10] S. Fenet, S. Hassas: An ant based system for dynamic multiple criteria\nbalancing, In Proc. 1st Int.Workshop Ants Systems, Brussels, Belgium\n(1998).\n[11] K. Oida, M. Sekido: ARS: an efficient agent-based routing system for\nQoS guarantees, Computer Communications. 23, 1437-1447 (2000).\n[12] K. M. Sim, W. H. Sun: Multiple Ant Colony Optimization for Load\nBalancing, In Proc. 4th Int. Conf. Intelligent Data Engineering\nAutomated Learning, Hong Kong, vol. 2690, pp. 467-471\nSpringer,Heidelberg (2003).\n[13] M. Dorigo, G. D. Caro: Ant Algorithms for Discrete Optimization.\nArtificial Life, MIT Press 137-172 (1999)\n[14] T. Stutzle, H. H. Hoos: MAX-MIN Ant System. Future Generation\nComputer System, 889-914 (2000)."]} |
Databáze: | OpenAIRE |
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