A Survey on Fault Management in Software-Defined Networks

Fonseca, Paulo; Mota, Edjair

doi:10.1109/comst.2017.2719862

Cited by 116 publications

(54 citation statements)

References 169 publications

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“…General discussion on SDN technology is presented in [58]- [60]. Fault management schemes for SDN have been reviewed in [61], while traffic engineering through SDN is surveyed in [62]. Transport network, topology discovery, and routing for SDN are surveyed in [63], [64], and [65], respectively.…”

Section: Comparison With Related Survey Articlesmentioning

confidence: 99%

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Rehmani

Davy

Jennings

et al. 2019

IEEE Commun. Surv. Tutorials

182

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The current power grid is no longer a feasible solution due to ever-increasing user demand of electricity, old infrastructure, and reliability issues and thus require transformation to a better grid a.k.a., smart grid (SG). The key features that distinguish SG from the conventional electrical power grid are its capability to perform two-way communication, demand side management, and real time pricing. Despite all these advantages that SG will bring, there are certain issues which are specific to SG communication system. For instance, network management of current SG systems is complex, time consuming, and done manually. Moreover, SG communication (SGC) system is built on different vendor specific devices and protocols. Therefore, the current SG systems are not protocol independent, thus leading to interoperability issue. Software defined network (SDN) has been proposed to monitor and manage the communication networks globally. By separating the control plane from the data plane, SDN helps the network operators to manage the network flexibly. Since SG heavily relies on communication networks, therefore, SDN has also paved its way into the SG. By applying SDN in SG systems, efficiency and resiliency can potentially be improved. SDN, with its programmability, protocol independence, and granularity features, can help the SG to integrate different SG standards and protocols, to cope with diverse communication systems, and to help SG to perform traffic flow orchestration and to meet specific SG quality of service requirements. This article serves as a comprehensive survey on SDN-based SGC. In this article, we first discuss taxonomy of advantages of SDNbased SGC. We then discuss SDN-based SGC architectures, along with case studies. Our article provides an in-depth discussion on routing schemes for SDN-based SGC. We also provide detailed survey of security and privacy schemes applied to SDN-based SGC. We furthermore present challenges, open issues, and future research directions related to SDN-based SGC. Index Terms-Software defined network (SDN), smart grid (SG), advanced metering infrastructure (AMI), renewable energy resources (RERs), home area networks (HANs), network management.

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Section: Comparison With Related Survey Articlesmentioning

confidence: 99%

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Rehmani

Davy

Jennings

et al. 2019

IEEE Commun. Surv. Tutorials

182

View full text Add to dashboard Cite

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“…The recovery from link failure procedure is demonstrated in line (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13). However, the algorithm also includes the reversion procedure that is activated after a failure recurs (line [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] and it is no less important than the recovery process [44]. This procedure is required to take into account the percentage of routing flaps that is necessary for the experimental analysis.…”

Section: Framework Designmentioning

confidence: 99%

Smart routing: Towards proactive fault handling of software-defined networks

et al. 2020

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Software-defined networking offers numerous benefits against the legacy networking systems through simplifying the process of network management and reducing the cost of network configuration. Currently, the management of failures in the data plane is limited to two mechanisms: proactive and reactive. Such failure recovery techniques are activated after occurrences of failures. Therefore, packet loss is highly likely to occur as a result of service disruption and unavailability. This issue is not only related to the slow speed of recovery mechanisms, but also the delay caused by the failure detection process. In this paper, we define a new approach to the management of fault tolerance in software-defined networks where the goal is to eliminate the convergence process altogether, rather than speed up failure detection and recovery. We propose a new framework, called Smart Routing, which works based on the forewarning signs on failures in order to compute alternative paths and isolate the risky links from the routing tables of the data plane devices. We validate our framework through a set of experiments that demonstrate how the underlying model runs.

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“…Thereafter, the flow receives services from VNFs that are active in the current node CN (line 16). These steps are iterated in HFES algorithm until NH be empty (lines [17][18][19][20][21][22][23]. The goal of HFES is to provide a path with a guaranteed fault probability while minimizing the length of the paths and minimizing Fog Nodes energy consumption (line 25).…”

Section: Heuristic Fog-supported Energy-aware Sfc Rerouting Algorithmmentioning

confidence: 99%

Joint failure recovery, fault prevention, and energy-efficient resource management for real-time SFC in fog-supported SDN

et al. 2019

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Middleboxes have become a vital part of modern networks by providing services such as load balancing, optimization of network traffic, and content filtering. A sequence of middleboxes comprising a logical service is called a Service Function Chain (SFC). In this context, the main issues are to maintain an acceptable level of network path survivability and a fair allocation of the resource between different demands in the event of faults or failures. In this paper, we focus on the problems of traffic engineering, failure recovery, fault prevention, and 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 the Optimal Fog-Supported Energy-Aware SFC rerouting algorithm (OFES) and propose a near-optimal heuristic called Heuristic OFES (HFES) to solve the corresponding problem in polynomial time. In this way, the energy consumption and the reliability of the selected paths are optimized, while the Quality of Service (QoS) constraints are met and the network congestion is minimized. In a reliability context, the focus of this work is on fault prevention; however, since we use a reallocation technique, the proposed scheme can be used as a failure recovery scheme. We compare the performance of HFES and OFES in terms of power consumption, average path length, fault probability, network side-effects, link utilization, and Fog Node utilization. Additionally, we analyze the computational complexity of HFES. We use a real-world network topology to evaluate our algorithm. The simulation results show that the heuristic algorithm is applicable to large-scale networks.

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A Survey on Fault Management in Software-Defined Networks

Cited by 116 publications

References 169 publications

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

Smart routing: Towards proactive fault handling of software-defined networks

Joint failure recovery, fault prevention, and energy-efficient resource management for real-time SFC in fog-supported SDN

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