ArchivIA - Archivio istituzionale dell'Universita' di Catania >
Tesi di dottorato >
Area 01 - Scienze matematiche e informatiche >
Please use this identifier to cite or link to this item:
|Issue Date: ||12-Jan-2018|
|Authors: ||Cammarata, Giovanni|
|Title: ||Bio-inspired routing algorithms for Software Defined Networking|
|Abstract: ||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.|
|Appears in Collections:||Area 01 - Scienze matematiche e informatiche|
Files in This Item:
|CMMGNN86L08B429Z-tesi-cammarata-giovanni.pdf||tesi_cammarata_giovanni||2,82 MB||Adobe PDF||View/Open
Items in ArchivIA are protected by copyright, with all rights reserved, unless otherwise indicated.