Low Latency Security Function Chain Embedding Across Multiple Domains

5G network is envisioned to provide massive connectivity for a wide range of applications, such as ultra-clear media, internet of vehicles, and smart home. The traditional way of providing security services is difficult to support these new 5G applications flexibly and effectively. In our previous w...

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Bibliographic Details
Published in:IEEE access 2018-01, Vol.6, p.14474-14484
Main Authors: Xu, Qi, Gao, Deyun, Li, Taixin, Zhang, Hongke
Format: Article
Language:English
Subjects:
5G mobile communication
Algorithms
Business
Chains
Computational modeling
Computer architecture
Domains
Embedding
Heuristic methods
Hidden Markov models
Internet of Vehicles
Network latency
Security
Security services
service function chaining
Smart buildings
software defined network
Viterbi algorithm detectors
Wireless networks
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Summary:5G network is envisioned to provide massive connectivity for a wide range of applications, such as ultra-clear media, internet of vehicles, and smart home. The traditional way of providing security services is difficult to support these new 5G applications flexibly and effectively. In our previous work, we proposed a SFC-based framework that chains security functions in different domains to provide security services on demand. However, creating cross-domain service function chains will inevitably result in the additional network latency. In this paper, we study this problem of minimizing the end-to-end latency when deploying cross-domain service function chains for 5G applications. First, an exact approach, consisting of service chain partition and service subchain embedding, is proposed to derive an optimal solution for cross-domain service function chain placement. Second, we improve the Viterbi algorithm and propose an efficient heuristic approach to derive near-optimal solutions for large networks. We also compare the performance of the proposed exact approach, the proposed heuristic approach, and the simple greedy approach in different scales of network infrastructures. Simulation results are presented to demonstrate the effectiveness of the proposed approaches.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2791963