Abstract
Advent of big data, cloud computing and IOTs resulted into significant increase in traffic on servers used in traditional networks as these networks are normally non-programmable, complex in management, highly expensive in nature, and have tightly coupled control plane with data plane. To overcome these traditional network-based issues a newly emerging technology software defined networking (SDN) has been introduced which decouples the data plane and control plane and makes the network fully programmable. SDN controllers are programmable so an efficient load balancing algorithms must ensure the effective management of resources as per client’s request. Based on these parameters i.e. throughput, transaction rate, & response time the qualitative comparison between the load balancing algorithms of SDN is done to generate the best results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kreutz, D., Ramos, F.M.V., Verissimo, P.E., Rothenberg, C.E., Azodolmolky, S., Uhlig, S.: Software-defined networking: a comprehensive survey. Proc. IEEE 103(1), 14–76 (2015)
Xia, W., Wen, Y., Foh, C.H., Niyato, D., Xie, H.: A survey on software-defined networking. IEEE Commun. Surv. Tutorials 17(1), 27–51 (2015)
Kim, H., Feamster, N.: Improving network management with software defined networking. IEEE Commun. Mag. 51(2), 114–119 (2013)
Neghabi, A.A., Navimipour, N.J., Hosseinzadeh, M., Rezaee, A.: Load balancing mechanisms in the software defined networks: a systematic and comprehensive review of the literature. IEEE Access 6, 14159–14178 (2018)
Qilin, M., Weikang, S.: A load balancing method based on SDN. In: 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE (2015)
Silva, W.J.A., Dias, K.L., Sadok, D.F.H.: A performance evaluation of software defined networking load balancers implementations. In: 2017 International Conference on Information Networking (ICOIN). IEEE (2017)
Deep, G., Hong, J.: Round robin load balancer using software defined networking (SDN). Capstone Team Res. Proj. 5, 1–9 (2016)
Kaur, S., Kumar, K., Singh, J., Ghumman, N.S.: Round-robin based load balancing in software defined networking. In: 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 2136–2139. IEEE (2015)
Kaur, S., Singh, J.: Implementation of server load balancing in software defined networking. In: Satapathy, S.C., Mandal, J.K., Udgata, S.K., Bhateja, V. (eds.) Information Systems Design and Intelligent Applications. AISC, vol. 434, pp. 147–157. Springer, New Delhi (2016). https://doi.org/10.1007/978-81-322-2752-6_14
Kaur, K., Kaur, S., Gupta, V.: Flow statistics based load balancing in OpenFlow. In: 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE (2016)
Kaur, K., Kaur, S., Gupta, V.: Least time based weighted load balancing using software defined networking. In: Singh, M., Gupta, P.K., Tyagi, V., Sharma, A., Ören, T., Grosky, W. (eds.) ICACDS 2016. CCIS, vol. 721, pp. 309–314. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-5427-3_33
Mininet: “Mininet - An Instant Virtual Network on your Laptop (orother PC)” (2016). http://mininet.org/
De Oliveira, R.L.S., Schweitzer, C.M., Shinoda, A.A., Prete, L.R.: Using mininet for emulation and prototyping software-defined networks. In: 2014 IEEE Colombian Conference on Communications and Computing (COLCOM), pp. 1–6. IEEE (2014)
Koerner, M., Kao, O.: Multiple service load-balancing with OpenFlow. In: 2012 IEEE 13th International Conference on High Performance Switching and Routing (HPSR). IEEE (2012)
Salman, O., Elhajj, I.H., Kayssi, A., Chehab, A.: SDN controllers: a comparative study. In: 2016 18th Mediterranean Electrotechnical Conference (MELECON), pp. 1–6. IEEE (2016)
Kaur, S., Singh, J., Ghumman, N.S.: Network programmability using POX controller. In: ICCCS International Conference on Communication, Computing & Systems, vol. 138. IEEE (2014)
De Oliveira, B.T., Gabriel, L.B., Margi, C.B.: TinySDN: enabling multiple controllers for software-defined wireless sensor networks. IEEE Latin Am. Trans. 13(11), 3690–3696 (2015)
Acknowledgment
We thank Mr. Sunit Kumar Nandi of NIT Arunachal Pradesh for helping us to understand the RYU controller functionalities and to learn the mininet emulator tool concepts.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Joshi, N., Gupta, D. (2019). A Comparative Study on Load Balancing Algorithms in Software Defined Networking. In: Kumar, N., Venkatesha Prasad, R. (eds) Ubiquitous Communications and Network Computing. UBICNET 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 276. Springer, Cham. https://doi.org/10.1007/978-3-030-20615-4_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-20615-4_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20614-7
Online ISBN: 978-3-030-20615-4
eBook Packages: Computer ScienceComputer Science (R0)