Design and Implementation of a Consistent Data Store for a Distributed SDN Control Plane

Botelho, Fabio; Ribeiro, Tulio Alberton; Ferreira, Paulo; Ramos, Fernando M. V.; Bessani, Alysson

doi:10.1109/edcc.2016.12

Cited by 23 publications

(19 citation statements)

References 21 publications

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“…ONOS [6] and ONIX [7] provide a redundant control plane through a distributed data store, however their primary focus is on tolerance of crash failures. Botelho et al [43] also make use of a replicated data store, following a crash-recovery model, for maintaining a consistent network state among a replicated control plane built upon Floodlight [48]. Ravana [8], another protocol that only tolerates crashes, differs slightly in its use of a distributed event queue rather than a distributed data store.…”

Section: Related Workmentioning

confidence: 99%

Consistent and Secure Network Updates Made Practical

Lembke

Ravi

Roman

et al. 2020

Proceedings of the 21st International Middleware Conference

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Section: Related Workmentioning

confidence: 99%

Consistent and Secure Network Updates Made Practical

Lembke

Ravi

Roman

et al. 2020

Proceedings of the 21st International Middleware Conference

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“…We may cite several works focussing on the design choice of distributed SDN controller with the aim to show that to build an efficient distributed controller it should consider the following aspects: scalability, robustness, consistency and security [59][60][61][62]. The papers of [63,64] define the use of adaptive consistency models in the context of distributed SDN controllers.…”

Section: The Consistency's Use Areas and Benefitsmentioning

confidence: 99%

A comparative analysis of adaptive consistency approaches in cloud storage

Khelaifa

Benharzallah

Kahloul

et al. 2019

Journal of Parallel and Distributed Computing

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NoSQL storage systems are used extensively by web applications and provide an attractive alternative to conventional databases due to their high security and availability with a low cost. High data availability is achieved by replicating data in different servers in order to reduce access time lag, network bandwidth consumption and system unreliability. Hence, the data consistency is a major challenge in distributed systems. In this context, strong consistency guarantees data freshness but affects directly the performance and availability of the system. In contrast, weaker consistency enhances availability and performance but increases data staleness. Therefore, an adaptive consistency strategy is needed to tune, during runtime, the consistency level depending on the criticality of the requests or data items. Although there is a rich literature on adaptive consistency approaches in cloud storage, there is a need to classify as well as regroup the approaches based on their strategies. This paper will establish a set of comparative criteria and then make a comparative analysis of existing adaptive consistency approaches. A survey of this kind not only provides the user/researcher with a comparative performance analysis of the approaches but also clarifies the suitability of these for candidate cloud systems.

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“…. , τ }; 3 Estimate Ψ( x) = 1 τ τ t=1 Ψ t (x t ); 4 for each iteration k from 1 to B do 5 Pick σ random controller pairs p for which x p < R; 6 for each picked pair p from 1 to σ do 7 Set x = x where x p = x p + 1; 8 Try out x t = x and observe Ψ t (x t ) ∀t ∈ {(k−1)στ +pτ +1, . .…”

Section: Learning Algorithmmentioning

confidence: 99%

Learning the Optimal Synchronization Rates in Distributed SDN Control Architectures

Poularakis

Qin

et al. 2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

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Since the early development of Software-Defined Network (SDN) technology, researchers have been concerned with the idea of physical distribution of the control plane to address scalability and reliability challenges of centralized designs. However, having multiple controllers managing the network while maintaining a "logically-centralized" network view brings additional challenges. One such challenge is how to coordinate the management decisions made by the controllers which is usually achieved by disseminating synchronization messages in a peer-to-peer manner. While there exist many architectures and protocols to ensure synchronized network views and drive coordination among controllers, there is no systematic methodology for deciding the optimal frequency (or rate) of message dissemination. In this paper, we fill this gap by introducing the SDN synchronization problem: how often to synchronize the network views for each controller pair. We consider two different objectives; first, the maximization of the number of controller pairs that are synchronized, and second, the maximization of the performance of applications of interest which may be affected by the synchronization rate. Using techniques from knapsack optimization and learning theory, we derive algorithms with provable performance guarantees for each objective. Evaluation results demonstrate significant benefits over baseline schemes that synchronize all controller pairs at equal rate.

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Design and Implementation of a Consistent Data Store for a Distributed SDN Control Plane

Cited by 23 publications

References 21 publications

Consistent and Secure Network Updates Made Practical

Consistent and Secure Network Updates Made Practical

A comparative analysis of adaptive consistency approaches in cloud storage

Learning the Optimal Synchronization Rates in Distributed SDN Control Architectures

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