A Modified Genetic Algorithm for Controller Placement Problem in SDN Distributed Network

2021 ◽  
Author(s):  
Abeer A. Z. Ibrahim ◽  
Fazirulhisyam Hashim ◽  
Aduwati Sali ◽  
Nor K. Noordin ◽  
Saber M. E. Fadul
Keyword(s):  
Genetic Algorithm ◽  
Distributed Network ◽  
Placement Problem ◽  
Modified Genetic Algorithm ◽  
Controller Placement ◽  
Controller Placement Problem

scholarly journals SDN Controller Placement in IoT Networks: An Optimized Submodularity-Based Approach

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5474 ◽  
Author(s):  
Anh Khoa Tran ◽  
Md. Jalil Piran ◽  
Chuan Pham
Keyword(s):  
Network Control ◽  
Use Case ◽  
Distributed Network ◽  
Placement Problem ◽  
Optimization Framework ◽  
Future Networks ◽  
Controller Placement ◽  
Controller Placement Problem ◽  
Simulation Results ◽  
Sdn Controller

Software-Defined Networking (SDN) has opened a promising and potential approach for future networks, which mostly requires the low-level configuration to implement different controls. With the high advantages of SDN by decomposing the network control plane from the data plane, SDN has become a crucial platform to implement Internet of Things (IoT) services. However, a static SDN controller placement cannot obtain an efficient solution in distributed and dynamic IoT networks. In this paper, we investigate an optimization framework under a well-known theory, namely submodularity optimization, to formulate and address different aspects of the controller placement problem in a distributed network, specifically in an IoT scenario. Concretely, we develop a framework that deals with a series of controller placement problems from basic to complicated use cases. Corresponding to each use case, we provide discussion and a heuristic algorithm based on the submodularity concept. Finally, we present extensive simulations conducted on our framework. The simulation results show that our proposed algorithms can outperform considered baseline methods in terms of execution time, the number of controllers, and network latency.

scholarly journals Load Balancing in Software-Defined Networking using Controller Placement

2020 ◽  
Author(s):  
Hamid Nejadnik ◽  
Rasool Sadeghi ◽  
Sayed Mahdi Faghih Imani
Keyword(s):  
Load Balancing ◽  
Software Defined Networking ◽  
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.

scholarly journals A Survey On The Controller Placement Problem In SDN

2021 ◽  
Vol 13 (02) ◽  
pp. 4896-4914
Author(s):  
Lakshita Agarwal ◽  
Chetan Singh Negi ◽  
Jalaj Sharma ◽  
Sunita Jalal
Keyword(s):  
Placement Problem ◽  
Controller Placement ◽  
Controller Placement Problem

The Energy-Aware Controller Placement Problem in Software Defined Networks

2017 ◽  
Vol 21 (4) ◽  
pp. 741-744 ◽  
Author(s):  
Ying Hu ◽  
Tao Luo ◽  
Norman C. Beaulieu ◽  
Chunxue Deng
Keyword(s):  
Software Defined Networks ◽  
Energy Aware ◽  
Placement Problem ◽  
Controller Placement ◽  
Controller Placement Problem
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