Dynamic Controller Provisioning in Software Defined Networks

Bari, Faizul; Roy, Arup; Chowdhury, Shihabur Rahman; Zhang, Qi; Zhani, Mohamed Faten; Ahmed, Reaz; Boutaba, Raouf

doi:10.1109/cnsm.2013.6727805

Cited by 310 publications

(233 citation statements)

References 9 publications

Supporting

Mentioning

226

Contrasting

Unclassified

Order By: Relevance

“…In our use case study, which focuses on dynamic controller placement, the denominator and nominator in Eq. (8) are supported placement change requests within T and total change requests respectively.…”

Section: Flexibility Measure With Time Constraintmentioning

confidence: 99%

See 1 more Smart Citation

How flexible is dynamic SDN control plane?

Basta

Blenk

et al. 2017

2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

View full text Add to dashboard Cite

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.

show abstract

Section: Flexibility Measure With Time Constraintmentioning

confidence: 99%

“…Bari et al [8] initiated placing controllers and assigning switches to them dynamically, based on the real time traffic condition, i.e. number of flows and their origins.…”

Section: Background and Related Workmentioning

confidence: 99%

How flexible is dynamic SDN control plane?

Basta

Blenk

et al. 2017

2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

View full text Add to dashboard Cite

show abstract

“…Also, a logicallycentralized yet physically-distributed control plane as in Fig. 1 has been built such as Kandoo, HyperFlow, and Onix [10], which can benefit from the scalability and reliability of a distributed architecture while preserving the simplicity of a centralized system. Besides providing higher survivability against network failures, advantages of the distributed control plane include more scalability (control-plane throughput increases as many controllers can be used for load balancing) and reduced control delay by choosing the quickestresponding controller.…”

Section: Related Workmentioning

confidence: 99%

“…Refs. [10] [12] propose dynamic controller provisioning where number of controllers and their locations change dynamically with changing network conditions to minimize flow setup time and communication overhead.…”

Section: Related Workmentioning

confidence: 99%

Disaster-resilient control plane design and mapping in software-defined networks

Savas

Tornatore

Habib

et al. 2015

2015 IEEE 16th International Conference on High Performance Switching and Routing (HPSR)

View full text Add to dashboard Cite

Abstract-Communication networks, such as optical core networks heavily depend on their physical infrastructure, and hence they are vulnerable to man-made disasters, such as Electromagnetic Pulse (EMP) or Weapons of Mass Destruction (WMD) attacks, as well as to natural disasters, such as earthquakes. Large-scale disasters may cause huge data loss and connectivity disruption in these networks. As society's dependence on network services increases, the need for novel survivability methods to mitigate the effects of disasters on communication networks becomes a major concern. SoftwareDefined Networking (SDN), by centralizing control logic and separating it from physical equipment, facilitates network programmability and opens up new ways to design disasterresilient networks. On the other hand, to fully exploit the potential of SDN, along with data-plane survivability we also need to design the control plane to be resilient enough to survive network failures caused by disasters. For resiliency of the control-plane, we need to select appropriate mapping of the controllers over the physical network, and then ensure that the connectivity among the controllers (controller-to controller) and between the controllers and the switches (switch to controllers) is not compromised by physical infrastructure failures. Several distributed SDN controller architectures have been proposed to mitigate the risks of overload and failure, but they are optimized for limited faults without addressing the extent of large-scale disaster failures. In this paper, we present a novel disaster-aware control-plane design and mapping scheme, formally model this problem, and demonstrate a significant reduction in the disruption of controller-to-controller and switch-to-controller communication channels using our approach.

show abstract

“…Thus, the deployment of multiple controllers in an SDN plays an important role in improving its scalability and reliability. Furthermore, with respect to established time, communication overhead, fault recovery, etc., [6]- [8] illustrate the effect of a controller's optimized schedule and deployment on the performance and reliability of an SDN. However, these studies ignored a key point: the reliability of the controller itself has an effect on the control plane in an SDN.…”

Section: Introductionmentioning

confidence: 99%

DSL: Dynamic and Self-Learning Schedule Method of Multiple Controllers in SDN

et al. 2017

ETRI Journal

View full text Add to dashboard Cite

For the reliability of controllers in a software defined network (SDN), a dynamic and self-learning schedule method (DSL) is proposed. This method is original and easy to deploy, and optimizes the combination of multiple controllers. First, we summarize multiple controllers' combinations and schedule problems in an SDN and analyze its reliability. Then, we introduce the architecture of the schedule method and evaluate multi-controller reliability, the DSL method, and its optimized solution. By continually and statistically learning the information about controller reliability, this method treats it as a metric to schedule controllers. Finally, we compare and test the method using a given testing scenario based on an SDN network simulator. The experiment results show that the DSL method can significantly improve the total reliability of an SDN compared with a random schedule, and the proposed optimization algorithm has higher efficiency than an exhaustive search.

show abstract

Dynamic Controller Provisioning in Software Defined Networks

Cited by 310 publications

References 9 publications

How flexible is dynamic SDN control plane?

How flexible is dynamic SDN control plane?

Disaster-resilient control plane design and mapping in software-defined networks

DSL: Dynamic and Self-Learning Schedule Method of Multiple Controllers in SDN

Contact Info

Product

Resources

About