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Distributed federated service chaining: A scalable and cost-aware approach for multi-domain networks

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journal contribution
posted on 25.05.2022, 13:00 by Chen ChenChen Chen, Lars NagelLars Nagel, Lin Cui, Fung Po TsoFung Po Tso

Future networks are expected to support cross-domain, cost-aware and fine-grained services in an efficient and flexible manner. Service Function Chaining (SFC) has been introduced as a promising approach to deliver these services. In the literature, centralized resource orchestration is usually employed to process SFC requests and manage computing and network resources. However, centralized approaches inhibit the scalability and domain autonomy in multi-domain networks. They also neglect location and hardware dependencies of service chains.

In this paper, we propose Distributed Federated Service Chaining (DFSC), a framework for orchestrating and maintaining SFC placement in a distributed fashion while sharing only a minimal amount of domain information and control. First, a deployment cost minimization problem is formulated as an Integer Linear Programming (ILP) problem with fine-grained constraints for location and hardware dependencies. We show that this problem is NP-hard. Then, a placement algorithm is devised to use information only on inter-domain paths and border nodes. Our extensive experimental results demonstrate that DFSC efficiently optimizes the deployment cost, supports domain autonomy and enables faster decision-making. The results also show that DFSC finds solutions within a factor 1.15 of the optimal solution on average. Compared to a centralized approach in the literature, DFSC reduces the deployment cost by up to 20% and uses 70% less decision-making time.

Funding

SYNC: Synergistic Network Policy Management for Cloud Data Centres

Engineering and Physical Sciences Research Council

Find out more...

FRuIT: The Federated RaspberryPi Micro-Infrastructure Testbed

Engineering and Physical Sciences Research Council

Find out more...

Innovate UK grant 106199-47198

Chinese National Research Fund (NSFC) No. 62172189 and 61772235

Science and Technology Program of Guangzhou No. 202002030372

Natural Science Foundation of Guangdong Province No. 2020A1515010771

China Scholarship Council

History

School

  • Science

Department

  • Computer Science

Published in

Computer Networks

Volume

212

Publisher

Elsevier

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

10/05/2022

Publication date

2022-05-18

Copyright date

2022

ISSN

1389-1286

Language

en

Depositor

Dr Posco Tso. Deposit date: 25 May 2022

Article number

109044