Toward Highly Available and Scalable Software Defined Networks for Service Providers

Suh, Dong Hun; Jang, Seokwon; Han, Sol; Pack, Sangheon; Kim, Myung-Sup; Kim, Taejoon; Lim, Chunghun

doi:10.1109/mcom.2017.1600170

Cited by 27 publications

(23 citation statements)

References 10 publications

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“…On the other hand, the throughput of the SC cluster suffers specifically in the case where updates are committed on the RAFT nodes assigned a follower role. This confirms the results of[9]. REPLICA LOAD WHEN SERVING 1000 SDN-LB REQUESTS IN A 5-CONTROLLER CLUSTER SYNCHRONIZED USING SC, AC OR EC.…”

supporting

confidence: 86%

“…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%

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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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supporting

confidence: 86%

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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“…Hence, significant savings can be achieved if the deductive solutions are able to accurately predict the real-world behavior of the future non-implemented system or system extensions. With this in mind, contrary to the previously published methods on evaluation of the distributed SDN control plane, which base their analysis on a limited number of physical cluster configurations [15], [16], we opt for the flexible and economical deductive solution.…”

Section: B Stochastic Activity Networkmentioning

confidence: 99%

“…In two experiment-based studies, Suh et al [15], [16] measure the throughput and the recovery time of a RAFTenabled SDN controller cluster with 1, 3 and 5 replicas. They put special focus on the effect of φ accrual failure detector [37] on the resulting performance footprint.…”

Section: Related Workmentioning

confidence: 99%

Response Time and Availability Study of RAFT Consensus in Distributed SDN Control Plane

Sakic

Kellerer

2018

IEEE Trans. Netw. Serv. Manage.

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Software Defined Networking promises unprecedented flexibility and ease of network operations. While flexibility is an important factor when leveraging advantages of a new technology, critical infrastructure networks also have stringent requirements on network robustness and control plane delays. Robustness in the SDN control plane is realized by deploying multiple distributed controllers, formed into clusters for durability and fast-failover purposes. However, the effect of the controller clustering on the total system response time is not well investigated in current literature. Hence, in this work we provide a detailed analytical study of the distributed consensus algorithm RAFT, implemented in OpenDaylight and ONOS SDN controller platforms. In those controllers, RAFT implements the data-store replication, leader election after controller failures and controller state recovery on successful repairs. To evaluate its performance, we introduce a framework for numerical analysis of various SDN cluster organizations w.r.t. their response time and availability metrics. We use Stochastic Activity Networks for modeling the RAFT operations, failure injection and cluster recovery processes, and using real-world experiments, we collect the rate parameters to provide realistic inputs for a representative cluster recovery model. We also show how a fast rejuvenation mechanism for the treatment of failures induced by software errors can minimize the total response time experienced by the controller clients, while guaranteeing a higher system availability in the long-term.

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“…The entity that a control plane utilises to manage the flow controls in a network is called an SDN controller. The SDN controller, for example OpenDaylight (ODL) [15], [16] (see Figure 4 for a typical ODL architecture), should have the following [12]: a) A database that stores information regarding network state, network configuration and network topology b) A high-level data model that establishes relationships between the resources and the services provided by the controller c) An API that offers the controller services to the application layer d) A TCP control session between the controller and the devices e) A standards based protocol f) A topology discovery mechanism for path computation The ODL project is an initiative by The Linux Foundation to highlight the importance of SDN. The ODL offers the largest open source SDN controller that is being used in various organisations and universities.…”

Section: Software Defined Networking (Sdn)mentioning

confidence: 99%

Software Defined Networking for Wireless Sensor Networks: A Survey

Hassan¹

2017

AWCN

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One main feature of Software Defined Networking (SDN) is the basic principle of decoupling a device's control plane from its data plane. This simplifies network management and gives network administrators a remarkable control over the network elements. As the control plane for each device within the network is now implemented on a separate controller, this reliefs individual devices from the overhead caused by complex routing. Specifically, this feature has been shown to be extremely beneficial in the case of resource-constrained Wireless Sensor Networks (WSNs). By keeping the control logic away from the low-powered nodes, the WSNs can resolve their major issues of resource underutilisation and counter-productivity. This paper highlights the importance of adopting the SDN in the WSNs as a relatively new networking paradigm. This is introduced through a comprehensive survey on relevant networking paradigms and protocols supported by a critical evaluation of the advantages and disadvantages of these mechanisms. Furthermore, open research issues and challenges are pointed out shedding a light on future innovations in this field.

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Toward Highly Available and Scalable Software Defined Networks for Service Providers

Cited by 27 publications

References 10 publications

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

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

Response Time and Availability Study of RAFT Consensus in Distributed SDN Control Plane

Software Defined Networking for Wireless Sensor Networks: A Survey

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