Load Balancing in Software-Defined Networking using Controller Placement

Network Simulator ◽

Control Plane ◽

Placement Problem ◽

Data Plane ◽

Controller Placement ◽

Controller Placement Problem ◽

Load Balancer

Abstract Software Defined Networking (SDN) is a novel architecture that separates the data plane from the control plane using an external controller. Similar to traditional networks, load balancing has a great impact on the performance and availability of SDN. Therefore, the Controller Placement Problem (CPP) in SDN influences on the load balancing solutions. In this paper, various topologies of CPP including different load balancer controllers are simulated and evaluated in the SDN using the OFSwitch13 module of ns-3 network simulator. The results provide a solid comparison of the proposed topologies in different network situations.

A new quantum particle swarm optimization algorithm for controller placement problem in software-defined networking

Computers & Electrical Engineering ◽

10.1016/j.compeleceng.2021.107456 ◽

2021 ◽

Vol 95 ◽

pp. 107456

Author(s):

Quanyuan Zhang ◽

Haolun Li ◽

Yanli Liu ◽

Shangrong Ouyang ◽

Caiting Fang ◽

...

Keyword(s):

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Quantum Particle ◽

Placement Problem ◽

Swarm Optimization ◽

Quantum Particle Swarm Optimization ◽

Controller Placement ◽

Survival backup strategy for controller placement problem in Software Defined Networking

Computer Communications ◽

10.1016/j.comcom.2021.12.020 ◽

2021 ◽

Author(s):

Abdunasser Alowa ◽

Thomas Fevens ◽

Yaser Khamayseh

Keyword(s):

Placement Problem ◽

Controller Placement ◽

On Managing Controller Placement Problem for Grid-aware Software Defined Networking

2019 IEEE Global Conference on Internet of Things (GCIoT) ◽

10.1109/gciot47977.2019.9058403 ◽

2019 ◽

Author(s):

Mohamed Samir ◽

Effat Samir ◽

Mohamed Azab ◽

Mohamed R. M. Rizk ◽

Nayera Sadek

Keyword(s):

Placement Problem ◽

Controller Placement ◽

The controller placement problem for robust SDNs against malicious node attacks considering the control plane with and without split-brain

annals of telecommunications - annales des télécommunications ◽

10.1007/s12243-019-00725-7 ◽

2019 ◽

Vol 74 (9-10) ◽

pp. 575-591 ◽

Cited By ~ 3

Author(s):

Dorabella Santos ◽

Amaro de Sousa ◽

Carmen Mas Machuca

Keyword(s):

Malicious Node ◽

Control Plane ◽

Placement Problem ◽

Split Brain ◽

Controller Placement ◽

Load Balancing in Software Defined Networking: A Review

Asian Journal of Computer Science and Technology ◽

10.51983/ajcst-2018.7.2.1859 ◽

2018 ◽

Vol 7 (2) ◽

pp. 1-5

Author(s):

Prabhjot Kaur ◽

Jasmeen Kaur Chahal ◽

Abhinav Bhandari

Keyword(s):

Load Balancing ◽

Network Flow ◽

Centralized Control ◽

Control Plane ◽

Survey Paper ◽

Data Rates ◽

Load Balancer ◽

Service Data ◽

And Control

Software Defined Networking is an adaptable way of networking, which disconnects data forwarding plane and control-plane of system equipment’s and also solves issues in existing network infrastructure. More specifically, the control-plane of software defined network decides the advancing way of network flow with Centralized Control Manner (CCM). SDN (Software Defined Networking) is a strategy for making, planning and overseeing systems which intend to change this present unfortunate circumstance. It has been used in dissimilar areas, like a campus networks and data center systems. In this survey paper, we’ve reviewed the concept of (SDNs) Software Defined Networks, its architecture and applications. In the survey, it has been found that SDN load balancing has become more smart and efficient and reduces the statistic collection overhead and maintain better QoS (Quality of Service) data rates. In addition, we reviewed the direct routing based algorithms of Load Balancer and compare with Round Robin Strategy. Furthermore, we’ve reviewed and compared the existing work to get better idea about the concept of Load balancing.

Control plane delay minimization-based capacitated controller placement algorithm for SDN

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/s13638-019-1607-x ◽

2019 ◽

Vol 2019 (1) ◽

Cited By ~ 4

Author(s):

Rong Chai ◽

Qiongfang Yuan ◽

Lei Zhu ◽

Qianbin Chen

Keyword(s):

Nonlinear Integer Programming ◽

Integer Programming Problem ◽

Control Plane ◽

Dijkstra Algorithm ◽

Placement Problem ◽

Delay Minimization ◽

Controller Placement ◽

Controller Placement Problem ◽

Placement Algorithm ◽

Matching Strategy

AbstractSoftware-defined networking (SDN) is proposed as a new network paradigm which decouples control plane from data plane and provides flexible network management. In this paper, we consider the capacitated controller placement problem in SDN, which jointly determines the number, location, and the capacity matching strategy of SDN controllers. redTo stress the importance of control plane delay which is composed of both the transmission and processing delay between controllers and switches, and the inter-controller delay; we formulate control plane delay minimization problem subject to controller-switch association constraints, controller capacity constraints, etc. Since the formulated optimization problem is a complicated nonlinear integer programming problem which cannot be solved easily, we transform it into controller-switch association subproblem and controller capacity matching subproblem. To solve the controller-switch association subproblem, we propose a heuristic algorithm based on Dijkstra algorithm and K-means algorithm. Given the controller-switch association strategy, we then apply the Kuhn-Munkres (K-M) algorithm to solve the controller capacity matching subproblem and obtain the capacitated controller placement strategy. Simulation results are shown to demonstrate the effectiveness of the proposed algorithm.