Int. J. of Autonomic Computing   »   2017 Vol.2, No.4

 

 

Title: A load prediction model for SDN controllers

 

Authors: Kshira Sagar Sahoo; Mayank Tiwary; Bibhudatta Sahoo

 

Addresses:
Department of Computer Science, National Institute of Technology, Rourkela, Odisha, India
Digital Business Services, Clod Product Support, SAP Labs, Bangalore, India
Department of Computer Science, National Institute of Technology, Rourkela, Odisha, India

 

Abstract: Separation of the control plane from data plane and keeping the decision making activities into a centralised system called controller is the key idea behind software defined networks. The controllers take the control decisions for OpenFlow enabled devices from a higher abstraction of the network. In this work, we propose a control layer architecture, which considers the local area network and wide area network traffic independently. The objective of this work is to predict the load for WAN controllers through the LAN controller by considering PACKET_IN as the load. After a certain threshold value, the controller's response time for processing the PACKET_INs increases substantially because of excess CPU utilisation. The delay in response from controller affects the initial packets of the flow passing through the network device and thus affects the QoS of the network. Hence, the proposed technique addresses this problem and reduces the delay in response substantially.

 

Keywords: software defined networks; OpenFlow devices; load prediction; controller.

 

DOI: 10.1504/IJAC.2017.10010843

 

Int. J. of Autonomic Computing, 2017 Vol.2, No.4, pp.384 - 400

 

Date of acceptance: 20 Nov 2017
Available online: 31 Jan 2018

 

 

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