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oai:www.iris.unict.it:20.500.11769/5835542023-12-19T00:33:51Zcom_20.500.11769_434851com_123456789_40col_20.500.11769_434852

Bio-inspired routing algorithms for Software Defined Networking CAMMARATA, GIOVANNI FORTUNA, LUIGI Cammarata, Giovanni DI STEFANO, Antonella software defined networking, ant colony optimization, alienated ant algorithm,traffic engineering, energy aware routing In recent years, several projects have emerged with the aim of addressing the challenge of providing solutions for the deployment, monitoring, adaptation, and management of clouds belonging to different enterprises/organisations. In addition, the concept of Green Computing and, more specifically, energy-aware solutions have gained attention in the last few years in many fields of ICT: network management is one of those. Today s power consumption is considered a fundamental parameter to take into account when a new routing strategy is designed, just as with latency, bandwidth or error rate. In such scenarios network connectivity is one of the key factors. SDN technologies represent a good solution to face this challenge. By separating the control plane from the data plane, they can give the cloud provider the opportunity to specify both the network topologies and routing schemes on-the fly, guaranteeing, at same time, a specific level of isolation. My work produced an algorithm for traffic engineering on an SDN based on the Alienated Ant Algorithm, a heuristic solution inspired by a non-natural behaviour of ants colonies. 2017-11-30 info:eu-repo/semantics/doctoralThesis https://hdl.handle.net/20.500.11769/583554 ita info:eu-repo/semantics/openAccess alleditors:FORTUNA, LUIGI Università degli studi di Catania place:Catania license:PUBBLICO - Pubblico con Copyright license uri:iris.PUB02