Dynamic SDN controller assignment in data center networks: Stable matching with transfers

Wang, Tao; Liu, Fangming; Guo, Jian; Xu, Hong

doi:10.1109/infocom.2016.7524357

Cited by 155 publications

(84 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Specifically, after each side builds Input: Initial matching Θ; ∀ , , Output: ( ) , ∀ , (1) function Transfer(Θ, , ) (2) for All controllers, ∀ , do (3) for Each switch s ∈ Θ( ) do (4) for controller c ∈ \{ } do (5) Find the transfer pair ( , , ) with minimum TR( , , ) (6) endfor (7) if TR( , , ) < 0 then (8) Update: Θ ← transfer( , , ) (9) end if (10) end for (11) end for (12) Transform Θ to ( ) (13) end function Algorithm 3: Optimal mapping algorithm. the preference list based on the above definitions, switches start to propose to their most preferred controllers.…”

Section: "Bidirectional Selection"mentioning

confidence: 99%

“…Thus, to improve scalability and alleviate single point failure, the latest control plane is usually implemented as a distributed network operating system with multiple controllers (ONOS). Wang et al [3] dynamically assign controllers to minimize the average response time and balance load. ElDefrawy and Kaczmarek [4] introduce a prototype SDN controller that can tolerate Byzantine faults.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

SDNManager: A Safeguard Architecture for SDN DoS Attacks Based on Bandwidth Prediction

Wang

Chen

Cheng

et al. 2018

Security and Communication Networks

Self Cite

View full text Add to dashboard Cite

Software-Defined Networking (SDN) has quickly emerged as a promising technology for future networks and gained much attention. However, the centralized nature of SDN makes the system vulnerable to denial-of-services (DoS) attacks, especially for the currently widely deployed multicontroller system. Due to DoS attacks, SDN multicontroller model may additionally face the risk of the cascading failures of controllers. In this paper, we propose SDNManager, a lightweight and fast denial-of-service detection and mitigation system for SDN. It has five components: monitor, forecast engine, checker, updater, and storage service. It typically follows a control loop of reading flow statistics, forecasting flow bandwidth changes based on the statistics, and accordingly updating the network. It is worth noting that the forecast engine employs a novel dynamic time-series (DTS) model which greatly improves bandwidth prediction accuracy. What is more, to further optimize the defense effect, we also propose a controller dynamic scheduling strategy to ensure the global network state optimization and improve the defense efficiency. We evaluate SDNManager through a prototype implementation tested in a real SDN network environment. The results show that SDNManager is effective with adding only a minor overhead into the entire SDN/OpenFlow infrastructure.

show abstract

Section: "Bidirectional Selection"mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SDNManager: A Safeguard Architecture for SDN DoS Attacks Based on Bandwidth Prediction

Wang

Chen

Cheng

et al. 2018

Security and Communication Networks

Self Cite

View full text Add to dashboard Cite

show abstract

“…number of flows and their origins. [9] considers only the switch assignment update, as the controllers do not change their locations, in the use case of data centers where aggregated traffic increases in the daytime and falls at night. However, these models give less attention to the migration process and its cost on the network performance, which we model in detail in our proposed models.…”

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

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

“…As a result, some controllers cannot be fully utilized. At the same time, switches connected to some overloaded controllers experience long response time and large control traffic overhead . For the controller, it is more willing to manage those switches, which are closer to it, in order to reduce the control traffic overhead and controller‐switch latency .…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, switches connected to some overloaded controllers experience long response time and large control traffic overhead . For the controller, it is more willing to manage those switches, which are closer to it, in order to reduce the control traffic overhead and controller‐switch latency . Some SDN deployment solutions use in‐band signaling communication to reduce cost, making control traffic compete for the scarce bandwidth with the data plane in the network.…”

Section: Introductionmentioning

confidence: 99%

Dynamic controller assignment problem in software‐defined networks

Zhang

Wang

Huang

2018

Trans Emerging Tel Tech

View full text Add to dashboard Cite

In large‐scale software‐defined networks, multiple controllers need to be deployed in order to guarantee network reliability and scalability in a cooperative way, where the assignment of multiple controllers and switches is very significant and usually consists of static controller assignment and dynamic controller assignment. However, static mapping among controllers and switches is not adequately efficient and realistic due to the dynamic network traffic load. To this end, this paper pays attention to and solves the dynamic controller assignment problem. We propose an adaptive controller assignment scheme for multiple controllers, and it can dynamically adjust the number of active controllers and the mapping relationship among controllers and switches by three algorithms. (1) When some controllers are overloaded, that is, the load ratio of controllers reaches a certain level, other controllers are activated to share the load of these controllers. (2) When some controllers are lightly loaded, these controllers are deactivated to reduce the control traffic overhead and improve controller utilization. (3) To further improve network performance, the load among controllers is balanced after reassignment. Simulation results demonstrate that the proposed adaptive controller assignment scheme has better performance than others in terms of flow setup time, control traffic overhead, and controller load balance, comprehensively.

show abstract

Dynamic SDN controller assignment in data center networks: Stable matching with transfers

Cited by 155 publications

References 18 publications

SDNManager: A Safeguard Architecture for SDN DoS Attacks Based on Bandwidth Prediction

SDNManager: A Safeguard Architecture for SDN DoS Attacks Based on Bandwidth Prediction

How flexible is dynamic SDN control plane?

Dynamic controller assignment problem in software‐defined networks

Contact Info

Product

Resources

About