1. Scalability of Software Defined Network on
Floodlight Controller using OFNet
Scalability of Software Defined Network on Floodlight Controller using OFNet
By:
Saleh Asadollahi
&
Dr. Bhargavi Goswami 1

2. Outline Limitations of Current Networks
Scalability of Software Defined Network on
Floodlight Controller using OFNet
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
Outline
Limitations of Current Networks
What is SDN? Floodlight SDN Controller
SIMULATION ENVIRONMENT
OBTAINED RESULTS
Conclusion

3. Limitations of Current Networks
Scalability of Software Defined Network on
Floodlight Controller using OFNet
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
Lack of programmability and innovation
Enterprise networks are difficult to manage
“New control requirements have arisen”:
How to easily configure huge networks? 3

4. What is SDN Traditional vs SDN
Scalability of Software Defined Network on
Floodlight Controller using OFNet
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
The key is to have a standardized control interface that speaks directly to hardware
A whole network is like a big machine 4
OpenFlow/SDN tutorial, Srini Seetharaman, Deutsche Telekom, Silicon Valley Innovation Center

5. Floodlight SDN Controller
Scalability of Software Defined Network on
Floodlight Controller using OFNet
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
Floodlight
open source
java based
web GUI
The scope, the design goal
No need for distance-vector routing if you have a global view – compute dijkstra directly
Floodlight SDN Controller Architecture

6. SIMULATION ENVIRONMENT
Scalability of Software Defined Network on
Floodlight Controller using OFNet
SIMULATION ENVIRONMENT
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
Check network flow, scan…
Reduce the speed of the links that are not well utilized, or turn them off together
Connectivity between nodes in the scenario
GUI of Floodlight Controller Environment 6

7. Result: Experimenting with Scalability of Floodlight Controller in
Scalability of Software Defined Network on
Floodlight Controller using OFNet
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
Avreage Flow Setup Latency for scenario one and two
Flow Failure for scenario one and two 7

8. Result: Experimenting with Scalability of Floodlight Controller in
Scalability of Software Defined Network on
Floodlight Controller using OFNet
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
OpenFlow Messages From Controller for scenario one and two
OpenFlow Messages to Controller for scenario one and two 8

9. Result: Experimenting with Scalability of Floodlight Controller in
Scalability of Software Defined Network on
Floodlight Controller using OFNet
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
Flow Misses to Controller for scenario one and two
Maximum Flow Table Enties for scenario one and two 9

10. Result: Experimenting with Scalability of Floodlight Controller in
Scalability of Software Defined Network on
Floodlight Controller using OFNet
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
Average Round Trip Time (RTT) for scenario one and two
CPU Utilization for scenario one and two 10

11. Conclusion Experimenting with Scalability of Floodlight Controller in
Scalability of Software Defined Network on
Floodlight Controller using OFNet
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
With this paper, authors have made attempt to address the scalability features of the Floodlight controller by implementing two scenarios in simulation experimental environment over OFNet. In this paper, authors have provided the clear idea how to create experimental test bed with analysis of obtained statistical results keeping the performance as the central focus. We would conclude this paper by providing additional option of the implementation of SDN in simulation and emulation environment to inspire researchers to ideate and practically implement their ideas in the form of simulations to come up with contributions pushing the technology ahead. In this paper, we implemented Floodlight Controller using OFNet on two scenarios which shows step by step experimental setup that can be followed to implement their own experiments with ease. This paper may be used as guidance to new researchers in the domain of SDN willing to explore Floodlight and OFNet. Not just, experimentation, analysis provided in this experiment with lot of reasoning provides the logic behind every action during the experimentation and reasons for the results. Further, the research team will come up with few more papers on implementation of other SDN controllers in the coming future. The team also has planned to compare the controllers of SDN, once all the stellar controllers are implemented and experimented by them. 11

12. REFERENCES Experimenting with Scalability of Floodlight Controller in
Scalability of Software Defined Network on
Floodlight Controller using OFNet
Experimenting with Scalability of Floodlight Controller in
Software Defined Networks
Gowsami, B. Asadollahi, S., (2016). “Novel Approach to Improvise Congestion Control over Vehicular Ad Hoc Networks (VANET)” Proceedings of the 10th INDIACom; International Conference on “Computing for Sustainable Global Development”, March Delhi, India. IEEE Xplore ISBN:
Asadollahi, S., Gowsami, B. (2017). Revolution in Existing Network under the Influence of Software Defined Network. Proceedings of the INDIACom 11th, Delhi, March IEEE Conference ID: 40353
McKeown et al, N. (2008). OpenFlow: Enabling innovation in campus networks. ACM SIGCOMM - Computer Communication Revie, vol. 38, no. 2, p. 69–74.
Smith et al, M. (2014). OpFlex control protocol, Internet Engineering Task Force, from :
Doria et al, A. (2010). Forwarding and control element separation (ForCES) protocol specification. Internet Engineering Task Forc, from
Enns, R., Bjorklund, M., Schoenwaelder, J., Bierman, A. (2011). Network configuration protocol (NETCONF). Internet Engineering Task Forc, form
Song, H. (2013). Protocol-oblivious forwarding: Unleash the power of SDN through a future-proof forwarding plane. Proceedings of ACM SIGCOMM Workshop Hot Topics Softw Defined Netw II. p. 127–132.
Asadollahi, S., Gowsami, B. (2017). Implementation of SDN using OpenDaylight Controller. Proceeding of An International Conference on Recent Trends in IT Innovations - Tec'afe ISSN(Online) :
McCauley, M. (2012). POX, from
Erickson, D. (2013). The Beacon OpenFlow controller. Proceedings of ACM SIGCOMM Workshop Hot Topocs Software Defined Network II, p, 2013.
Gude al, N. (2008). NOX: Towards an operating system for networks. ACM SIGCOMM - Computer Communication Revie. vol. 38, no. 3, pp. 105–110.
Nippon Telegraph and Telephone Corporation, RYU network operating system, 2012, from
Project Floodlight, Floodlight. (2012). from
Asadollahi, S., Gowsami, B. (2017). Software Defined Network, Controller Comparison. Proceedings of Tec'afe 2017,Vol.5, Special Issue 2, April ISSN:
OFNet, from
Lantz, B. Heller, and N. McKeown. (2010). A network in a laptop: Rapid prototyping for software-defined network. Proceedings of ACM SIGCOMM Workshop Hot Topics Netw, 19th. p. 19:1–19:6
B. Pfaff and B. Davie. (2013). The Open vSwitch database management protocol. Internet Engineering Task Force, RFC 7047, from
Gowsami, B. Asadollahi, S., “Performance evaluation of widely implemented congestion control algorithms over diversified networking situations” Proceedings of International Conference on Computer Science Networks and Information Technology Held on 23rd-24th January 2016, Pattaya, Thailand. 12

13. Thanks! 13