Joint Failure Recovery, Fault Prevention, and Energy-efficient Resource Management for Real-time SFC in Fog-supported SDN
Mohammad M. Tajiki, Mohammad Shojafar, Behzad Akbari, Stefano Salsano,, Mauro Conti, Mukesh Singhal

TL;DR
This paper introduces a novel architecture and algorithms for real-time, energy-efficient service function chaining in SDN with Fog computing, focusing on failure prevention and fault-aware traffic management.
Contribution
It presents a multi-tier architecture (FRFP) and formulates an optimization problem (OFES), with a polynomial-time heuristic (HFES) for energy-aware, reliable SFC rerouting in Fog-supported SDN.
Findings
HFES reduces power consumption and fault probability.
The algorithms meet QoS constraints and minimize network congestion.
The heuristic is effective for large-scale networks.
Abstract
In this paper, we focus on the problems of traffic engineering, failure recovery, fault prevention, and Service Function Chain (SFC) with reliability and energy consumption constraints in Software Defined Networks (SDN). These types of deployments use Fog computing as an emerging paradigm to manage the distributed small-size traffic flows passing through the SDN-enabled switches (possibly Fog Nodes). The main aim of this integration is to support service delivery in real-time, failure recovery, and fault-awareness in an SFC context. Firstly, we present an architecture for Failure Recovery and Fault Prevention called FRFP; this is a multi-tier structure in which the real-time traffic flows pass through SDN-enabled switches to jointly decrease the network side-effects of flow rerouting and energy consumption of the Fog Nodes. We then mathematically formulate an optimization problem called…
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