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Emerging Management Mechanisms for the Future Internet 7th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2013 Barcelona, Spain, June 25-28, 2013 |
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Conference papers
A Framework for Robust Traffic Engineering Using Evolutionary Computation
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.
Cited literature [16 references]
https://hal.inria.fr/hal-01489965
Contributor : Hal Ifip <>
Submitted on : Tuesday, March 14, 2017 - 5:06:19 PM
Last modification on : Tuesday, March 14, 2017 - 5:12:29 PM
Document(s) archivé(s) le : Thursday, June 15, 2017 - 3:09:50 PM
Contributor : Hal Ifip <>
Submitted on : Tuesday, March 14, 2017 - 5:06:19 PM
Last modification on : Tuesday, March 14, 2017 - 5:12:29 PM
Document(s) archivé(s) le : Thursday, June 15, 2017 - 3:09:50 PM
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