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International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Research Article

A QoS Based Formal Model for Software Defined Network

Author(s): Vivek Srivastava* and Ravi Shankar Pandey

Volume 10, Issue 3, 2020

Page: [395 - 401] Pages: 7

DOI: 10.2174/2210327909666190506145959

Price: $65

Abstract

Background and Objective: Software-Defined Networks (SDN) decouple the responsibility of data plane, control plane and aggregates responsibilities at the controller. The controller manages all the requests generated from distributed switches to get the optimal path for sending data from source to destination using load balancing algorithms. The guarantee of packet reachability is a major challenge in real time scenario of a SDN which depends on components of network infrastructure as switches, a central controller, channel capacity and server load. The success of this aggregation and packet reachability demand is a high Quality of Service (QoS) requirement in terms of throughput, delay and packet loss due to high traffic volume and network size. This QoS has two perspectives one is required other is a computation of real QoS value.

Methods: In this paper, we have presented the QoS based formal model of SDN to compute and to investigate the role of the real QoS value. This formal model includes QoS on the basis of packet movement hop by hop which is a real-time QoS. The hop by hop packet movement reliability has been computed using channel capacity and server load which is an abstraction of throughput, delay, and packet loss. The effect of channel capacity and server load can be varying using different values of the weight factor. We have also considered an equal role of channel capacity and server load to compute reliability. This QoS helps to the controller to match with required QoS to decide the better path.

Conclusion: Our results finds the reliable path based on channel capacity and server load of the network. Also, results showed that the reliability of the network and controller which are based on the reliability of the packet delivery between two nodes.

Keywords: Open flow, quality of service, software defined networks, data plane, control plane, high traffic volume.

Graphical Abstract
[1]
Xia W, Wen Y. IEEE Communication Surveys and Tutorials, 17 No 1 First Quarter.
[2]
Abualigah LM, Khader AT, Hanandeh ES. A combination of objective functions and hybrid Krill herd algorithm fortext document clustering analysis. Eng Appl Artif Intell 2018; 73: 111-25.
[http://dx.doi.org/10.1016/j.engappai.2018.05.003]
[3]
Abualigah LM, Khader AT. Unsupervised text feature selection technique based on hybrid particle swarm optimization al-gorithm with genetic operators for the text clustering. J Supercomput 2017; 73: 4773-95.
[4]
Mohammad AL, Tajudin KA, Said HE. A new feature selection method to improve the document clustering using particle swarm optimization algorithm. J Comput Sci 2017.
[5]
Mohammad Abualigah Laith, Tajudin Khadera Ahamad. Text feature selection with a robust weight scheme and dy-namic dimension reduction to text document clustering 2018; 25: 456-66.
[6]
Marzo JL, Calle E, Scoglio C, Anjah T. QoS online routing and MPLS multilevel protection: A survey. IEEE Commun Mag 2003; 41(10): 126-32.
[http://dx.doi.org/10.1109/MCOM.2003.1235604]
[7]
Fowler S, Zeadally S, Siddiqui F. QoS pathselection exploiting minimum link delays in MPLS-based networks.2005 Systems Communications (ICW'05, ICHSN'05, ICMCS'05, SENET'05), Montreal, Quebec, Canada.
[8]
Doulamis N, Panagiotis K, Emmanouel V. Spectral Clustering Scheduling Techniques for Tasks with Strict QoS Requirements. Springer 2008; pp. 478-88.
[9]
Faizul B, Rahman CS, Reaz A. Policy Cop: An autonomic QoS policy enforcement frame-work for software defined networks. 2013 IEEE SDN for Future Networks and Services (SDN4FNS), Trento, Italy. In:
[10]
Tomovic S, Prasad N. SDN control framework for QoS provisioning. 2014 22nd Telecommunications Forum Telfor (TELFOR), Belgrade, Serbia
[11]
Adrichem NLM, Doerr C, Kuipers FA. IEEE Network Operations and Management Symposium (NOMS) 1-8.
[12]
Chemeritskyy EV, Smelyansky RL, Zakharov VA. A formal model and verification problems for software defined networks. Autom Control Comput Sci 2014; 48: 398-406.
[13]
Al-Shaer E, Marrero W, El-Ataway A, El Badawi K. Network configuration in a box: Toward end-to-end verification of network reachability and security. 17th IEEE International Conference on Network Protocols (ICNP’ 09), Princeton, New Jersey, USA, 2009.
[14]
Mai H, Khurshid A, Agarwal R, Caesar M, Godfrey RB, King ST. Debugging of the Data Plane with Anteater, 290-301.
[15]
Alechina N, Immerman N. Reachability logic: Efficient fragment of transitive closure logic. Log J IGPL 2000; 8(3): 325-37.
[http://dx.doi.org/10.1093/jigpal/8.3.325]
[16]
Canini M, Venzano D, Peresini P, Kostic D, Rexford J. A NICE way to test open flow applications. In: Proceedings of Networked Systems Design and Implementation. 2012.
[17]
Reitblatt M, Foster N, Rexford J, Walker D. Consistent updates for software-defined networks: Change you can believe in. HotNets-X Proceedings of the 10th ACM Workshop on Hot Topics in Networks 2011.
[18]
Civanlar S, Parlakisik M, Tekalp A, Gorkemli B, Kaytaz B, Onem E. A QoS-enabled openflow environment for scalable video streaming 2010 GLOBECOM Workshops. GC Workshops 2010; pp. 351-6.
[19]
Tomovic S, Prasad N, Radusinovic I. SDN control framework for QoS provisioningin. Telecommun Forum Telfor 2014; 2014(22nd): 111-4.
[20]
Egilmez H, Gorkemli B, Tekalp A, Civanlar S. Scalable video streaming over openflow networks: An optimi-zation framework for QoS routing. International Conference on Image Processing (Image Process) 2011.18th IEEE International Conference
[21]
Egilmez H, Civanlar S, Tekalp A. An optimization framework for QoS-enabled adaptive video streaming over open networks. IEEE T Multimedia 2013; 15(3): 710-5.
[22]
Tomovic S, Radusinovic I, Prasad N. Performance comparison of QoS routing algorithms applicable to large-scale SDN networks. IEEE EUROCON 2015 International Conference on Computer as a Tool (EUROCON), Salamanca, Spain .
[23]
Huang J, Xu L, Zeng M, Xing CC, Duan Q, Yan Y. Hybrid scheduling for Quality of Service guarantee in soft-ware defined networks to support multimedia cloud services. 2015 IEEE International Conference on Services Computing, New York, NY, USA
[24]
Ghalwash H, Huang CH. A QoS framework for SDN-based networks. 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC), Philadelphia, PA, USA
[http://dx.doi.org/10.1109/CIC.2018.00024]

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