Energy-saving Strategy Based on an Immunization Algorithm for Network Traffic Article Swipe

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Dongyan Zhao , Keping Long , Dongxue Wang , Yichuan Zheng , Jiajing Tu ·

YOU? · · 2015 · Open Access · · DOI: https://doi.org/10.3837/tiis.2015.04.007

The rapid development of both communication traffic and increasing optical network sizes has increased energy consumption.Traditional algorithms and strategies don't apply to controlling the expanded network.Immunization algorithms originated from the complex system theory are feasible for large-scale systems based on a scale-free network model.This paper proposes the immunization strategy for complex systems which includes random and targeted immunizations to solve energy consumption issues and uses traffic to judge the energy savings from the node immunization.The simulation results verify the effectiveness of the proposed strategy.Furthermore, this paper provides a possibility for saving energy with optical transmission networks.

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Computer science Immunization Algorithm Energy (signal processing) Medicine Statistics Antigen Immunology Mathematics

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Type: article
Language: en
Landing Page: https://doi.org/10.3837/tiis.2015.04.007
PDF: https://itiis.org/digital-library/manuscript/file/20771/TIISVol9No4-7.pdf
OA Status: bronze
Cited By: 2
References: 18
Related Works: 10
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DOI: https://doi.org/10.3837/tiis.2015.04.007

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Title: Energy-saving Strategy Based on an Immunization Algorithm for Network Traffic

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Type: article

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Language: en

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Publication year: 2015

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Publication date: 2015-04-30

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Authors: Dongyan Zhao, Keping Long, Dongxue Wang, Yichuan Zheng, Jiajing Tu

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Landing page: https://doi.org/10.3837/tiis.2015.04.007

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PDF URL: https://itiis.org/digital-library/manuscript/file/20771/TIISVol9No4-7.pdf

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Concepts: Computer science, Immunization, Algorithm, Energy (signal processing), Medicine, Statistics, Antigen, Immunology, Mathematics

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Cited by: 2

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Citations by year (recent): 2017: 1, 2015: 1

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