Exploiting locality in distributed SDN control

Schmid, Stefan; Suomela, Jukka

doi:10.1145/2491185.2491198

Cited by 171 publications

(140 citation statements)

References 19 publications

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“…In parallel, we can also consider a horizontal splitting of the controller authority where each controller is in charge of a limited area. For instance, in [5] different hierarchies and topology for set of controllers deployment is proposed. The ONOS (Open Network Operating System) project [6] is a good example of efforts to tackle the challenge of providing a centralized coordination meanwhile avoiding performance degradation at the control plane.…”

Section: Problem Statementmentioning

confidence: 99%

Software-Defined Wireless Transport Networks for Flexible Mobile Backhaul in 5G Systems

Bercovich¹,

Contreras²,

Haddad³

et al. 2015

Mobile Netw Appl

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Traditionally microwave backhaul has been configured and operated in a static manner by means of vendor specific management systems. This mode of operation will be difficult to adapt to the new challenges originated by 5G networks. New mechanisms for adaptation and flexibility are required also in this network segment. The usage of a signaled control plane solution (based on OpenFlow) will facilitate the operation and will provide means for automation of actions on the wireless transport network segment. In addition to that, a standard control plane helps to reach the multi-vendor approach reducing complexity and variety of current per-vendor operation. This paper presents the motivation for the introduction of programmability concepts in wireless transport networks and illustrate the applicability of such control plane with two relevant use cases for dynamically controlling wireless transport nodes in 5G networks. Extensions to OpenFlow protocol are also presented for building Software Defined Wireless Transport Networks (SDWTNs).

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Section: Problem Statementmentioning

confidence: 99%

Software-Defined Wireless Transport Networks for Flexible Mobile Backhaul in 5G Systems

Bercovich¹,

Contreras²,

Haddad³

et al. 2015

Mobile Netw Appl

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“…Hierarchical structures usually have two layers [2] [5] . We focus on the hierarchical structures with two layers in this paper and hierarchial structures with more than two layers can be analyzed in a similar way.…”

Section: Hierachical Structurementioning

confidence: 99%

“…Generally, the architecture of SDN control planes can be classified into three categories: centralized, decentralized (peer to peer) and hierarchical structures [2]. Decentralized structures have two strategies: local view strategy and global view strategy.…”

Section: Introductionmentioning

confidence: 99%

Scalability of control planes for Software defined networks: Modeling and evaluation

Chen

et al. 2014

2014 IEEE 22nd International Symposium of Quality of Service (IWQoS)

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Abstract-With the increasing popularity of Software defined network (SDN), designing a scalable SDN control plane becomes a critical problem. An effective approach to improving the scalability is to design distributed architecture of SDN control plane. However, how to evaluate the scalability of SDN control planes remains unexplored. In this paper, we propose a metric of scalability for SDN control planes, and study three typical SDN control plane structures, including centralized, decentralized and hierarchical architectures. We build performance models for response time, based on which we evaluate the scalability of these three structures. Furthermore, the comparison between different architectures are analyzed by mathematical methods. Numerical evaluations are also conducted to validate the conclusions drawn in this paper. I. INTRODUCTIONWith the development of the Internet, the traditional network is approaching a bottleneck in network control. To tackle the challenge, a new network architecture named SDN is proposed which moves the control plane out of data plane and reduces the management complexity significantly. Taking advantage of centralized control, the controller for SDN is customized, programmable, and flexible. However, the centralized control faces some challenges in large scale networks. The first SDN controller (NOX) [1] can serve only 30,000 flow initiation requests per second while keeping the response time less than 10ms. It is challenge to serve more flows while keeping the response time within a reasonable small duration. Thus, understanding and quantifying the scalability of the SDN controller is a critical problem for successful adoption of SDN for large scale networks or networks with many flows. A SDN control plane is scalable if the control plane architecture will adapt to handle more network event requests with the increasing complexity and scale of network while satisfying the quality of service.In order to improve the scalability of SDN control planes, two approaches were proposed [1]. The first is to move some control function of the controller to switches, reducing the event requests submitted to the controller significantly. Thus, the scalability of the controller is improved. However, the switches may need highly specialized application-specific integrated circuits(ASICs) to satisfy these requirements, and general-purpose CPUs may also be required to supply some control function. Therefore, this approach needs to be embraced by major manufacturers and thus increases the dif-

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“…First, the number flows that need to be processed increases drastically, whereas, e.g., a single default OpenDaylight controller implementation can only process Packet-In messages at the rate of around 15000 pps [1], which is not comparable with that of a backbone router. Second, the propagation delay between a switch to its master controller becomes a significant part of the control plane latency as the network scales up [2].…”

Section: Introductionmentioning

confidence: 99%

How flexible is dynamic SDN control plane?

Basta

Blenk

et al. 2017

2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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Abstract-In Software Defined Networking (SDN), for performance reasons the control plane consists of multiple SDN controllers that provide a logically centralized network control. To react to traffic changes, the control plane may adapt to improve the performance of the whole network. This adaptation includes the migration of controllers, i.e. the change of their placement, as well as the change of switch to controller assignments. We call such adaptive network control a dynamic SDN control plane. Whereas most state of the art focuses on an optimal placement of controllers considering static traffic demands, we draw the attention to the need for a dynamic control plane and the performance of the adaption process itself. The involved controller migration and switch re-assignments significantly affect the control plane performance. Moreover, in this work we evaluate the flexibility of a dynamic SDN control plane with respect to the number of controllers. In particular, we refer to a flexibility metric that takes the time into account that is needed for successful migrations to handle traffic changes. Our evaluations are based on detailed models of controller placement and migration time. The results confirm that the migration time is a critical parameter and reveal that in case only a short migration time is allowed, the number of controllers does not bring more flexibility. For relaxed migration times, a larger number of controllers leads to more flexibility as expected. The results also show that a dynamic adaptation to traffic changes, can provide an improvement of up to 60% over a non-dynamic SDN control plane.

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Exploiting locality in distributed SDN control

Cited by 171 publications

References 19 publications

Software-Defined Wireless Transport Networks for Flexible Mobile Backhaul in 5G Systems

Software-Defined Wireless Transport Networks for Flexible Mobile Backhaul in 5G Systems

Scalability of control planes for Software defined networks: Modeling and evaluation

How flexible is dynamic SDN control plane?

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