Simplification of Internet Ossification through Software Defined Network Approach

Simplification of Internet Ossification through Software Defined Network Approach

Gaurav Kulkarni

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Simplification of Internet Ossification through Software Defined Network Approach

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Abstract

Software-Defined Networking (SDN) has received a great deal of attention from both academia and industry in recent years. Studies on SDN have brought a number of interesting technical discussions on network architecture design, along with scientific contributions. Researchers, network operators, and vendors are trying to establish new standards and provide guidelines for proper implementation and deployment of such novel approach. It is clear that many of these research efforts have been made in the southbound of the SDN architecture, while the northbound interface still needs improvements. By focusing in the SDN northbound, this paper surveys the body of knowledge and discusses the challenges for developing SDN software. We investigate the existing solutions and identify trends and challenges on programming for SDN environments.

References

18 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Gaurav Kulkarni. 2018. \u201cSimplification of Internet Ossification through Software Defined Network Approach\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 17 (GJCST Volume 17 Issue C3): .

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GJCST Volume 17 Issue C3
Pg. 25- 29

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-C Classification: C.2.5, C.2.6

Submission ReceivedDecember 10, 2016
Peer Review Double Blind
Handling Editor
Accepted January 2, 2017
Published January 15, 2017

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v1.2

Issue date

January 12, 2018

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Gaurav Kulkarni (PhD/Dr. count: 0)

View Count (all-time): 279

Total Views (Real + Logic): 6172

Total Downloads (simulated): 1491

Publish Date: 2018 01, Fri

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Total Views: 6172

Total Downloads: 1491

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