A framework for robust traffic engineering using evolutionary computation

Authors:
Vitor Pereira;Miguel Rocha;Paulo Cortez;Miguel Rio;Pedro Sousa
Affiliations:
Centro Algoritmi/Dep. of Informatics, University of Minho, Portugal;CCTC/Dep. of Informatics, University of Minho, Portugal;Centro Algoritmi/Dep. of Information Systems, University of Minho, Portugal;Dep. of Electronic and Electrical Engineering, UCL, UK;Centro Algoritmi/Dep. of Informatics, University of Minho, Portugal
Venue:
AIMS'13 Proceedings of the 7th IFIP WG 6.6 international conference on Autonomous Infrastructure, Management, and Security: emerging management mechanisms for the future internet - Volume 7943
Year:
2013

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Abstract

In current network infrastructures, several management tasks often require significant human intervention and can be of high complexity, having to consider several inputs to attain efficient configurations. In this perspective, this work presents an optimization framework able to automatically provide network administrators with efficient and robust routing configurations. The proposed optimization tool resorts to techniques from the field of Evolutionary Computation, where Evolutionary Algorithms (EAs) are used as optimization engines to solve the envisaged NP-hard problems. The devised methods focus on versatile and resilient aware Traffic Engineering (TE) approaches, which are integrated into an autonomous optimization framework able to assist network administrators. Some examples of the supported TE optimization methods are presented, including preventive, reactive and multi-topology solutions, taking advantage of the EAs optimization capabilities.