Low Latency Security Function Chain Embedding Across Multiple Domains
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TL;DR: 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 and an efficient heuristic approach to derive near-optimal solutions for large networks is proposed.
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Abstract: 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.
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Citations
Adaptive Interference-Aware VNF Placement for Service-Customized 5G Network Slices
Qixia Zhang,Fangming Liu,Chaobing Zeng +2 more
- 01 Apr 2019
TL;DR: AIA can efficiently handle traffic variation especially caused by VNF interference and improve the total throughput by 20.11% and 24.21% in autonomous driving and 4K/8K HD video network slices as compared with the state-of-the-art methods.
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Energy-efficient and traffic-aware service function chaining orchestration in multi-domain networks
TL;DR: This paper forms the problem of an energy-efficient online SFC request that is orchestrated across multiple clouds as an integer linear programming (ILP) model to find an optimal solution and proposes a low-complexity heuristic algorithm named EE-SFCO-MD for near-optimally solving the mentioned problem.
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Online Adaptive Interference-Aware VNF Deployment and Migration for 5G Network Slice
TL;DR: This paper first proposes a time-slot based 5G network slice model, which jointly includes both edge cloud servers and core cloud servers, and proposes an Online Lazy-migration Adaptive Interference-aware Algorithm (OLAIA) for real-time VNF deployment and cost-efficient VNF migration in a 5Gnetwork slice.
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Service Function Chain Placement in Distributed Scenarios: A Systematic Review
Guto Leoni Santos,Diego de Freitas Bezerra,Elisson Rocha,Leylane Ferreira,Andre Moreira,Glauco Estácio Gonçalves,M. V. Marquezini,Akos Recse,Amardeep Mehta,Judith Kelner,Djamel Sadok,Patricia Takako Endo +11 more
TL;DR: A systematic review of SFC placement advances in distributed scenarios over the last 10 years is presented and the main goals considered to create S FC placement strategies are presented and highlight the metrics used to evaluate them.
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pSMART: A lightweight, privacy-aware service function chain orchestration in multi-domain NFV/SDN
Kalpana D. Joshi,Kotaro Kataoka +1 more
TL;DR: In this paper, a lightweight, privacy-aware service function chain orchestration in a multi-domain NFV/SDN scenario is presented, which utilizes less sensitive information, to reduce privacy and security risks, and to employ learning based decision making for efficient MD-SFC mapping.
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References
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Sugih Jamin,Cheng Jin,Anthony R. Kurc,Danny Raz,Yuval Shavitt +4 more
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