Provably Efficient Service Function Chain Embedding and Protection in Edge Networks

Internet-connected devices generate service function chain (SFC) requests for reliability-sensitive applications such as smart factories and intelligent healthcare. To facilitate reliable SFC provisioning, one can employ dedicated SFC protection approaches to protect the primary service function path (SFP) by constructing a fault-disjointed backup SFP. Notably, the construction processes of the fault-disjointed primary and backup SFPs are interdependent, and the direct application of existing SFC embedding approaches to construct these SFPs by separate processes may not effectively optimize overall resource consumption. In this work, for the first time, we comprehensively study how to embed and protect an SFC through collaborative processes that have provable bounds. We formally define the problem of SFC embedding and protection (SFCEP), for which we develop the novel techniques of a backup SFP identifier (BSI) and resource-aware Bellman-Ford loop (RBL) to address the challenges posed by collaborative embedding and protection. On the basis of these techniques, we propose an efficient algorithm called optimal SFC embedding and protection (Opt-SEP). When the network resources are sufficient to accommodate an incoming SFC request, we prove that Opt-SEP can minimize the overall resource cost of creating a pair of fault-disjointed primary and backup SFPs. Moreover, for cases in which the network resources are limited, our extensive simulation results show that Opt-SEP significantly outperforms the benchmarks.

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Publication Details

Journal
IEEE Transactions on Networking
Published
2024-10-11
DOI
https://doi.org/10.1109/tnet.2024.3475248
Citations
45
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
15.70

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article

Provably Efficient Service Function Chain Embedding and Protection in Edge Networks

Xiaojun Cao, Danyang Zheng
45 citations
IEEE Transactions on Networking
Software-Defined Networks and 5G
15.70
article

Provably Efficient Service Function Chain Embedding and Protection in Edge Networks

Xiaojun Cao, Danyang Zheng
article en
45 citations

Abstract

Internet-connected devices generate service function chain (SFC) requests for reliability-sensitive applications such as smart factories and intelligent healthcare. To facilitate reliable SFC provisioning, one can employ dedicated SFC protection approaches to protect the primary service function path (SFP) by constructing a fault-disjointed backup SFP. Notably, the construction processes of the fault-disjointed primary and backup SFPs are interdependent, and the direct application of existing SFC embedding approaches to construct these SFPs by separate processes may not effectively optimize overall resource consumption. In this work, for the first time, we comprehensively study how to embed and protect an SFC through collaborative processes that have provable bounds. We formally define the problem of SFC embedding and protection (SFCEP), for which we develop the novel techniques of a backup SFP identifier (BSI) and resource-aware Bellman-Ford loop (RBL) to address the challenges posed by collaborative embedding and protection. On the basis of these techniques, we propose an efficient algorithm called optimal SFC embedding and protection (Opt-SEP). When the network resources are sufficient to accommodate an incoming SFC request, we prove that Opt-SEP can minimize the overall resource cost of creating a pair of fault-disjointed primary and backup SFPs. Moreover, for cases in which the network resources are limited, our extensive simulation results show that Opt-SEP significantly outperforms the benchmarks.

IEEE Transactions on NetworkingVol. 33(1)
Georgia State University (US), Southwest Jiaotong University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 1%
Software-Defined Networks and 5G
15.70
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Provably Efficient Service Function Chain Embedding and Protection in Edge Networks — Xiaojun Cao, Danyang Zheng · IEEE Transactions on Networking (2024) | TGRS Research Map | TGRS