Scalable fault management for OpenFlow

Kempf, James; Bellagamba, Elisa; Kern, András; Jocha, Dávid; Takacs, Alexandru; Skoldstrom, Pontus

doi:10.1109/icc.2012.6364688

Cited by 120 publications

(85 citation statements)

References 3 publications

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“…Different techniques have been applied to achieve this goal, such as stochastic and deterministic packet sampling techniques [352], traffic matrix estimation [260], fine-grained monitoring of wildcard rules [353], two-stage Bloom filters [354] to represent monitoring rules and provide high measurement accuracy without incurring in extra memory or control plane traffic overhead [302], and special monitoring functions (extensions to OpenFlow) in forwarding devices to reduce traffic and processing load on the control plane [355]. Point-to-point traffic matrix estimation, in particular, can help in network design and operational tasks such as load balancing, anomaly detection, capacity planning and network provisioning.…”

Section: Measurement and Monitoringmentioning

confidence: 99%

“…Suitable protection mechanisms (e.g., installation of pre-established backup paths in the forwarding devices) can be implemented by means of OpenFlow group table entries using "fast-failover" actions. An OpenFlow fault management approach [355] similar to MPLS global path protection could also be a viable solution, provided that OpenFlow switches are extended with end-toend path monitoring capabilities similarly to those specified by Bidirectional Forwarding Detection (BFD) [483]. Such protection schemes are a critical design choice for larger scale networks and may also require considerable additional flow space.…”

Section: Resiliencementioning

confidence: 99%

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Software-Defined Networking: A Comprehensive Survey

et al. 2015

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Abstract-The Internet has led to the creation of a digital society, where (almost) everything is connected and is accessible from anywhere. However, despite their widespread adoption, traditional IP networks are complex and very hard to manage. It is both difficult to configure the network according to predefined policies, and to reconfigure it to respond to faults, load and changes. To make matters even more difficult, current networks are also vertically integrated: the control and data planes are bundled together. Software-Defined Networking (SDN) is an emerging paradigm that promises to change this state of affairs, by breaking vertical integration, separating the network's control logic from the underlying routers and switches, promoting (logical) centralization of network control, and introducing the ability to program the network. The separation of concerns introduced between the definition of network policies, their implementation in switching hardware, and the forwarding of traffic, is key to the desired flexibility: by breaking the network control problem into tractable pieces, SDN makes it easier to create and introduce new abstractions in networking, simplifying network management and facilitating network evolution.In this paper we present a comprehensive survey on SDN. We start by introducing the motivation for SDN, explain its main concepts and how it differs from traditional networking, its roots, and the standardization activities regarding this novel paradigm. Next, we present the key building blocks of an SDN infrastructure using a bottom-up, layered approach. We provide an in-depth analysis of the hardware infrastructure, southbound and northbound APIs, network virtualization layers, network operating systems (SDN controllers), network programming languages, and network applications. We also look at cross-layer problems such as debugging and troubleshooting. In an effort to anticipate the future evolution of this new paradigm, we discuss the main ongoing research efforts and challenges of SDN. In particular, we address the design of switches and control platforms -with a focus on aspects such as resiliency, scalability, performance, security and dependability -as well as new opportunities for carrier transport networks and cloud providers. Last but not least, we analyze the position of SDN as a key enabler of a software-defined environment.

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Section: Measurement and Monitoringmentioning

confidence: 99%

Section: Resiliencementioning

confidence: 99%

Software-Defined Networking: A Comprehensive Survey

et al. 2015

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“…Related to these ideas, Kempf et 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 al. [40] highlight that fault management in SDN cannot be left to be fully implemented in the control plane, and instead delegates these tasks to the OpenFlow switches. They advocate that some control functions, such as connectivity monitoring, can be placed in the data plane.…”

Section: Fault Tolerance and Survivabilitymentioning

confidence: 99%

“…Consequently, this definition encompasses concepts related to availability -an indicator of whether a service will be present when requested -and reliabil- Botelho et al [37] Kempf et al [40] ity -a measure of continued operation for a specified period of time. Also, dependability relates to measures of safety, integrity and maintainability;…”

Section: Resilience Disciplinesmentioning

confidence: 99%

Resilience support in software-defined networking: A survey

et al. 2015

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Software-Defined Networking (SDN) is an architecture for computer networking that provides a clear separation between network control functions and forwarding operations. The abstractions supported by this architecture are intended to simplify the implementation of several tasks that are critical to network operation, such as routing and network management. Computer networks have an increasingly important societal role, requiring them to be resilient to a range of challenges. Previously, research into network resilience has focused on the mitigation of several types of challenges, such as natural disasters and attacks. Capitalising on its benefits, including increased programmability and a clearer separation of concerns, significant attention has recently focused on the development of resilience mechanisms that use software-defined networking approaches. In this article, we present a survey that provides a structured overview of the resilience support that currently exists in this important area. We categorize the most recent research on this topic with respect to a number of resilience disciplines. Additionally, we discuss the lessons learned from this investigation, highlight the main challenges faced by SDNs moving forward, and outline the research trends in terms of solutions to mitigate these challenges . 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 This article presents a survey on the support for network resilience in SoftwareDefined Networking (SDN). This has been the subject of intense investigation by the academic and industrial community in the past few years, as evidenced by the number of papers included in our survey (159 references in total). Capitalizing on the benefits of SDN, including increased programmability and a clearer separation of concerns, significant attention has recently focused on the development of resilience mechanisms that use software-defined networking approaches. Thus, a wide range of solutions to classical network problems have been revisited using this architecture, but many problems continue to be challenging.Our survey investigates the resilience support that currently exists in this important area, and categorizes the most recent research on this topic with respect to a number of resilience disciplines. Additionally, we discuss the lessons learned from this investigation, highlight the main challenges faced by SDNs moving forward, and outline the research trends in terms of solutions to mitigate these challenges. The aim of the survey is to offer to the reader a structured view of network resilience in the SDN spectrum, and how resilience aspects are supported in these architectures.We believe that this subject material is closely aligned with the objectives of the journal. Please be assured that:1. This paper has not been published or accepted for publication w...

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“…Ref. [8] held the view that current SDN mechanisms used by the fault monitoring and recovery model spent too much time on failure discovery and notification. Therefore, in order to reduce the time of failure detection, it extended the OpenFlow1.1 protocol, and had switches in the data plane send periodic probe messages to monitor each flow, thus achieving rapid detection and announcement of failure.…”

Section: Introductionmentioning

confidence: 99%

Fast network restoration with equivalent cooperative routing

Dong

Huang

Sun

et al. 2017

J. Commun. Inf. Netw.

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Aiming at the problem of failure recovery in current networks, a fast failure recovery method based on equivalent cooperative routing is proposed. Firstly, the transmission path between the source and destination nodes is divided into several non-overlapping path segments. Next, backup paths are deployed for each link in the path segment through segmented routing technology, which ensures fast routing recovery after failure. Additionally, in order to avoid damaging the QoS of the data stream through the failure recovery process, the transmission is guaranteed by the intersegment QoS complement. The experimental results show that the proposed method has a low failure recovery delay under a relatively small flow table cost.

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Scalable fault management for OpenFlow

Cited by 120 publications

References 3 publications

Software-Defined Networking: A Comprehensive Survey

Software-Defined Networking: A Comprehensive Survey

Resilience support in software-defined networking: A survey

Fast network restoration with equivalent cooperative routing

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