Energy-Efficient Service Function Chain Provisioning in Multi-Domain Networks

Gang Sun, Yayu Li, Guangyang Zhu, Dan Liao, Victor Chang

Abstract

Service Function Chain (SFC) is not only helpful for saving the capital expenditure (CAPEX) and operational expenditure (OPEX) of network provider, but also can reduce energy consumption in the substrate network. However, to best of our knowledge, few researches focus on the problem of energy consumption for provisioning SFC requests in multi-domain networks. In this paper, we firstly formulate the problem of energy-efficient online SFC request provisioning across multiple domains by using integer linear programming (ILP). Then we propose a heuristic algorithm called EE-SFCO-MD for efficiently solving this problem. We conduct simulation experiments for evaluating the performance of our algorithm. The simulation results show that EE-SFCO-MD performs better than existing approaches.

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Paper Citation


in Harvard Style

Sun G., Li Y., Zhu G., Liao D. and Chang V. (2018). Energy-Efficient Service Function Chain Provisioning in Multi-Domain Networks.In Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-296-7, pages 144-152. DOI: 10.5220/0006770301440152


in Bibtex Style

@conference{iotbds18,
author={Gang Sun and Yayu Li and Guangyang Zhu and Dan Liao and Victor Chang},
title={Energy-Efficient Service Function Chain Provisioning in Multi-Domain Networks},
booktitle={Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2018},
pages={144-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006770301440152},
isbn={978-989-758-296-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Energy-Efficient Service Function Chain Provisioning in Multi-Domain Networks
SN - 978-989-758-296-7
AU - Sun G.
AU - Li Y.
AU - Zhu G.
AU - Liao D.
AU - Chang V.
PY - 2018
SP - 144
EP - 152
DO - 10.5220/0006770301440152