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Multiobjective network design for realistic traffic models

Published: 07 July 2007 Publication History

Abstract

Network topology design problems find application in several reallife scenarios. However, most designs in the past either optimize for a single criterion like delay or assume simplistic traffic models like Poisson. Such assumptions make the solutions inapplicable in the practical world.In this paper, we formulate and solve a multiobjective network topology design problem for a realistic Internet traffic model which is assumed to be self similar. We optimize for the average packet delivery delay and network layout cost to construct realistic network topologies. We present a multiobjective evolutionary algorithm (MOEA) to obtain the diverse near-optimal network topologies. For fair comparison, we design a multiobjective deterministic heuristic based on branch exchange -- we call the heuristic Pareto Branch Exchange (PBE). We empirically show that the MOEA used performs well for real networks of various sizes, and generated topologies are quite different with significantly larger delays for the self similar traffic model.

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  • (2018)Manyobjective Optimization to Design Physical Topology of Optical Networks with Undefined Node Locations2018 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2018.8477824(1-7)Online publication date: Jul-2018
  • (2017)Robustness of physical topologies of optical networks created by variants of Gabriel graphs2017 IEEE 18th International Conference on High Performance Switching and Routing (HPSR)10.1109/HPSR.2017.7968686(1-6)Online publication date: Jun-2017
  • (2016)Predicting Access Points Workload in Wi-Fi Infrastructures According to Users' BehaviorProceedings of the International Conference on Big Data and Advanced Wireless Technologies10.1145/3010089.3010106(1-6)Online publication date: 10-Nov-2016
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cover image ACM Conferences
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
July 2007
2313 pages
ISBN:9781595936974
DOI:10.1145/1276958
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 07 July 2007

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Author Tags

  1. Pareto front
  2. combinatorial optimization
  3. genetic algorithm
  4. heuristics
  5. multiobjective optimization
  6. network topology design
  7. optimization methods
  8. self-similar traffic

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GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

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  • (2018)Manyobjective Optimization to Design Physical Topology of Optical Networks with Undefined Node Locations2018 IEEE Congress on Evolutionary Computation (CEC)10.1109/CEC.2018.8477824(1-7)Online publication date: Jul-2018
  • (2017)Robustness of physical topologies of optical networks created by variants of Gabriel graphs2017 IEEE 18th International Conference on High Performance Switching and Routing (HPSR)10.1109/HPSR.2017.7968686(1-6)Online publication date: Jun-2017
  • (2016)Predicting Access Points Workload in Wi-Fi Infrastructures According to Users' BehaviorProceedings of the International Conference on Big Data and Advanced Wireless Technologies10.1145/3010089.3010106(1-6)Online publication date: 10-Nov-2016
  • (2016)Physical Topology Design of Optical Networks Aided by Many-Objective Optimization Algorithms2016 5th Brazilian Conference on Intelligent Systems (BRACIS)10.1109/BRACIS.2016.080(409-414)Online publication date: Oct-2016
  • (2016)Multicriteria Analysis in Telecommunication Network Planning and Design: A SurveyMultiple Criteria Decision Analysis10.1007/978-1-4939-3094-4_26(1167-1233)Online publication date: 2016
  • (2015)New Graph Model to Design Optical NetworksIEEE Communications Letters10.1109/LCOMM.2015.248071619:12(2130-2133)Online publication date: Dec-2015
  • (2015)Bi-objective network topology design with reliability constraint2015 6th International Conference on Information and Communication Systems (ICICS)10.1109/IACS.2015.7103233(234-239)Online publication date: Apr-2015
  • (2015)An evolutionary approach with surrogate models and network science concepts to design optical networksEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.04.00443:C(67-80)Online publication date: 1-Aug-2015
  • (2013)Design of network topology based on delay-cost sink treeInternational Journal of Communication Networks and Distributed Systems10.1504/IJCNDS.2013.05183410:2(146-162)Online publication date: 1-Feb-2013
  • (2012)On a multi-objective evolutionary algorithm for optimizing end-to-end performance of scientific workflows in distributed environmentsProceedings of the 45th Annual Simulation Symposium10.5555/2331751.2331758(1-9)Online publication date: 26-Mar-2012
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