Development of resilient and resource-efficient service function chaining in 5G networks.
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This is a research based project on resilient and resource e cient service function chaining in 5G networks. This project addresses the challenge on how to guarantee survivability of critical services while e ciently utilizing the exhaustible resources of the shared substrate network. First, this project proposes a generic multi-layer graph based algorithm as an alternative algorithm for SFC deployment across a single substrate network. Based on the proposed algorithm, a migration-aware algorithm that enables non- critical service applications to share the unused backup resources of critical ser- vices in a way that minimizes future preemption of these users is proposed. The migration-aware algorithm results into minimal resource consumption in most sce- narios compared to a dedicated backup scheme and an improved performance in terms of the number of service preemptions compared to a cost based algorithm. In addition,the low priority users are pre-empted from the shared resources incase of failure of the critial user, therefore the project proposes a QoS-aware global- rerouting algorithm for remapping such users while minimizing the level of service interruption. The migration-aware algorithm resulted in more than 8% resource saving in most scenarios compared to a dedicated backup scheme and more than 70% performance improvement in terms of the number of service preemptions compared to a cost based algorithm. Additionally, whenever low priority users are preempted from the shared resources, the project proposed a QoS-aware global-rerouting algorithm for remapping such users while minimizing the level of service interruption resulting from migration of surviving VNFs and virtual links to other substrate nodes and paths. The proposed algorithm shown to outperform a service restoration scheme based on local rerouting in terms of successful service restoration and resource consumption.