On performance of OpenDaylight clustering

Jang, Seokwon; Han, Sol; Pack, Sangheon; Kim, Taejoon; Kwak, Ji-Young

doi:10.1109/netsoft.2016.7502476

Cited by 21 publications

(12 citation statements)

References 4 publications

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“…Two informal measurement standards on SDN control plane benchmarking, by the IETF [23] and the ONF [24], specify cluster performance and stability tests. The performance of ODL clustering, in terms of synchronization overhead, failure detection and failover time, was analyzed in [25], while ONOS inter-controller traffic in different scenarios was measured and modelled in [26]. An ONOS report on SDN control plane performance [27] discusses distributed design solutions considered by developers, as well as the final implementation, and demonstrates the improvements compared to an older release.…”

Section: A High-availability In Distributed Sdn Implementationsmentioning

confidence: 99%

DASON: Dependability Assessment Framework for Imperfect Distributed SDN Implementations

Vizarreta

Trivedi

Mendiratta³

et al. 2020

IEEE Trans. Netw. Serv. Manage.

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In Software Defined Networking (SDN), network programmability is enabled through a logically centralized control plane. Production networks deploy multiple controllers for scalability and reliability reasons, which in turn rely on distributed consensus protocols to operate in a logically centralized manner. However, bugs in distributed control plane can have disastrous effects on the data plane, e.g., losing traffic by installing paths containing blackholes. In this paper we study the prevalence of issues in state-of-the-art distributed frameworks in SDN, by analyzing 500+ + + issues reported in two of the largest open source SDN controller platforms: Open Network Operating System (ONOS) and OpenDaylight (ODL), during the period between 2014-2019. We identify system vulnerabilities, localize dependability bottlenecks, and provide stochastic models for a holistic assessment of system dependability.

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Section: A High-availability In Distributed Sdn Implementationsmentioning

confidence: 99%

DASON: Dependability Assessment Framework for Imperfect Distributed SDN Implementations

Vizarreta

Trivedi

Mendiratta³

et al. 2020

IEEE Trans. Netw. Serv. Manage.

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“…The Akka framework, specified in [19], is used to synchronize information between the cluster of controllers. ODL clustered controllers are limited due to the vast number of control/flow packets generated among larger clusters [20].…”

Section: A Logically-centralized Control Planementioning

confidence: 99%

DSF: A Distributed SDN Control Plane Framework for the East/West Interface

2021

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The ever-increasing number of network-capable devices places a massive burden on modern networks. Communication infrastructure should provide quality-of-service essentials in terms of highbandwidth capacity, scalability, resiliency, and security. Programmable networks are viewed as the prevailing method of encountering the challenges introduced by the accelerated expansion. The ability of softwaredefined networking (SDN) to separate the control plane from the data plane and enable the programmability of the network creates new ways to architect the network. The centralization of control logic introduces complexities in large-scale, distributed networks such as performance bottlenecks and reliability. Distributed SDN controllers have been proposed to overcome the performance concerns. The lack of a communication standard among distributed controllers, referred to as the East/West interface, presents a challenge in the adoption of SDN in large-scale, distributed networks. In this paper, we propose Distributed SDN control plane Framework (DSF)-a framework for the East/West interface for heterogeneous, distributed SDN controllers to synchronize topologies using a standardized data-centric real-time publish/subscribe paradigm known as the Data Distribution Service (DDS). Distributed control plane architectures are proposed using DSF: flat, hierarchical, and T-model. The DSF interface is implemented on multiple SDN control plane platforms to evaluate performance: Floodlight and Open Network Operating System (ONOS) controllers. Test cases with different configurations are designed for performance evaluation of the proposed interface in homogeneous and heterogeneous SDN control planes. In addition, a performance comparison is presented of DSF-based ONOS controllers versus Atomix-based ONOS cluster solutions.

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“…The total time taken to serve 1000 SDN-LB embedding requests in the SC deployment takes a longer time as each write and read request is serialized, and no concurrent state modifications are allowed to take place. Previous measurements of the RAFT implementation in OpenDaylight [9], [10] have proven that the overhead of read operations in a consensus-based cluster is similar to that of the write operations, since cluster-wide reads/writes are necessary to reach consensus on the latest state values. Lastly, the distribution time of AC suffers compared to the EC model, since EC processes transactions as fast as possible and does not implement the overhead of consistency adaptation.…”

Section: Ac (Local)mentioning

confidence: 99%

“…They focus on the evaluation of the performance of leader election procedure during the controller failure scenario. Suh et al [9], [10] experimentally measure the throughput and the recovery time of a RAFT-enabled cluster with up to 5 SDN controllers for the use case of flow table reconfigurations. These works do not discuss the effect of failures on the quality of decision-making in the context of SDN applications nor do they cover the aspects of RAFT scalability for high-throughput applications.…”

Section: Ac (Local)mentioning

confidence: 99%

Impact of Adaptive Consistency on Distributed SDN Applications: An Empirical Study

Sakic

Kellerer

2018

IEEE J. Select. Areas Commun.

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Scalability of the control plane in a Software Defined Network (SDN) is enabled by means of decentralization of the decision-making logic, i.e. by replication of controller functions to physically or virtually dislocated controller replicas. Replication of a centralized controller state also enables the protection against controller failures by means of primary and backup replicas responsible for managing the underlying SDN data plane devices. In this work, we investigate the effect of the the deployed consistency model on scalability and correctness metrics of the SDN control plane. In particular, we compare the strong and eventual consistency, and make a case for a novel adaptive consistency approach. The existing controller platforms rely on either strong or eventual consistency mechanisms in their state distribution. We show how an adaptive consistency model offers the scalability benefits in terms of the total requesthandling throughput and response time, in contrast to the strong consistency model. We also outline how the adaptive consistency approach can provide for correctness semantics, that are unachievable with the eventual consistency paradigm in practice. The adaptability of our approach provides a balanced and tunable trade-off of scalability and correctness for the SDN application implemented on top of the adaptive framework. To validate our assumptions, we evaluate and compare the different approaches in an emulated testbed with an example of a load balancer controller application. The experimental setup comprises up to five extended OpenDaylight controller instances and two network topologies from the area of service provider and data center networks.

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On performance of OpenDaylight clustering

Cited by 21 publications

References 4 publications

DASON: Dependability Assessment Framework for Imperfect Distributed SDN Implementations

DASON: Dependability Assessment Framework for Imperfect Distributed SDN Implementations

DSF: A Distributed SDN Control Plane Framework for the East/West Interface

Impact of Adaptive Consistency on Distributed SDN Applications: An Empirical Study

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