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Service Migration Based on Software-Defined Networking

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Genetic and Evolutionary Computing (ICGEC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 834))

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Abstract

Mobile wireless networking is a definite trend for communication networks. Mobility support, such as mobile IP, at client side is well developed. However, there is limited effort paid for the server side. Quality of Service (QoS) degrades as a mobile client moves farther away from its original server. To this problem, a new service paradigm, named service migration, is proposed in this article. The idea is to migrate an ongoing service from distant server to a new server in proximity. Both individual user and the entire network environment will benefit from the service migration. Service migration can be implemented at different layers. In this study, we investigate the possibility of implementing service migration with Software-Defined Networking (SDN). SDN has been distinguished for its capability in traffic monitoring and flexibility in network administration. A fully functional prototype of service migration based on SDN for streaming service is implemented. Such a prototype validates the feasibility of the proposed service framework.

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Acknowledgements

We are grateful to the support from the Ministry of Science and Technology, Taiwan, ROC, under the grant number MOST 106-2221-E-151-007.

Author information

Authors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

    Chin-Shiuh Shieh & Cheng-Ta Lu

  2. Department of Information Application and Management, Tajen University, Pingtung, Taiwan

    Yu-Chun Liu

  3. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, China

    Yuh-Chung Lin

Authors
  1. Chin-Shiuh Shieh
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  2. Cheng-Ta Lu
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  3. Yu-Chun Liu
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  4. Yuh-Chung Lin
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Corresponding author

Correspondence to Chin-Shiuh Shieh .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Department of Computing, Mathematics, and Physics, Western Norway University of Applied Sciences, Bergen, China

    Jerry Chun-Wei Lin

  3. Changzhou College of Information Technology, Changzhou, Jiangsu, China

    Bixia Sui

  4. College of Smart Living and Management, Tajen University, Pingtung, Taiwan

    Shih-Pang Tseng

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Shieh, CS., Lu, CT., Liu, YC., Lin, YC. (2019). Service Migration Based on Software-Defined Networking. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_44

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