Comparison of Software Defined Networking with Traditional Networking
Asian Journal of Research in Computer Science,
Page 1-18
DOI:
10.9734/ajrcos/2021/v9i230216
Abstract
The Internet has caused the advent of a digital society; wherein almost everything is connected and available from any place. Thus, regardless of their extensive adoption, traditional IP networks are yet complicated and arduous to operate. Therefore, there is difficulty in configuring the network in line with the predefined procedures and responding to the load modifications and faults through network reconfiguring. The current networks are likewise vertically incorporated to make matters far more complicated: the control and data planes are bundled collectively. Software-Defined Networking (SDN) is an emerging concept which aims to change this situation by breaking vertical incorporation, promoting the logical centralization of the network control, separating the network control logic from the basic switches and routers, and enabling the network programming. The segregation of concerns identified between the policies concept of network, their implementation in hardware switching and data forwarding is essential to the flexibility required: SDN makes it less complicated and facilitates to make and introduce new concepts in networking through breaking the issue of the network control into tractable parts, simplifies the network management and facilitate the development of the network. In this paper, the SDN is reviewed; it introduces SDN, explaining its core concepts, how it varies from traditional networking, and its architecture principles. Furthermore, we presented the crucial advantages and challenges of SDN, focusing on scalability, security, flexibility, and performance. Finally, a brief conclusion of SDN is revised.
Keywords:
- SDN
- control plane
- open flow
- traditional networking
How to Cite
Haji, S. H., Zeebaree, S. R. M., Saeed, R. H., Ameen, S. Y., Shukur, H. M., Omar, N., Sadeeq, M. A. M., Ageed, Z. S., Ibrahim, I. M., & Yasin, H. M. (2021). Comparison of Software Defined Networking with Traditional Networking. Asian Journal of Research in Computer Science, 9(2), 1-18. https://doi.org/10.9734/ajrcos/2021/v9i230216
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Abdullah PY, Zeebaree SR, Shukur HM, Jacksi K. HRM system using cloud computing for small and medium enterprises (SMEs). Technology Reports of Kansai University. 2020;62:04.
Dino HI, Zeebaree SR, Ahmad OM, Shukur HM, Zebari RR, Haji LM. Impact of load sharing on performance of distributed systems computations. International Journal of Multidisciplinary Research and Publications (IJMRAP). 2020;3:30-37.
Zeebaree SR, Rajab H. Design and implement a proposed multi-sources to multi-destinations broadcasting video-signals. in 2019 4th Scientific International Conference Najaf (SICN). 2019;103-108.
AlShehri SMaMAR. Software defined networking: research issues, challenges and opportunities. Indian Journal of Science and Technology. 2017;10:1-9.
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Ageed ZS, Zeebaree SR, Sadeeq MM, Kak SF, Rashid ZN, Salih AA, et al. A survey of data mining implementation in smart city applications. Qubahan Academic Journal. 2021;1:91-99.
Fonseca PC, Mota ES. A survey on fault management in software-defined networks. IEEE Communications Surveys & Tutorials. 2017;19:2284-2321.
Salih AA, Zeebaree SR, Abdulraheem AS, Zebari RR, Sadeeq MA, Ahmed OM. Evolution of mobile wireless communication to 5g revolution. Technology Reports of Kansai University. 2020;62:2139-2151.
Hassan RJ, Zeebaree SR, Ameen SY, Kak SF, Sadeeq MA, Ageed ZS, et al. State of art survey for iot effects on smart city technology: challenges, opportunities, and solutions. Asian Journal of Research in Computer Science. 2021;32-48.
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Yahia HS, Zeebaree SR, Sadeeq MA, Salim NO, Kak SF, Adel AZ, et al. Comprehensive survey for cloud computing based nature-inspired algorithms optimization scheduling. Asian Journal of Research in Computer Science. 2021;1-16.
Rawat DB, Reddy SR. Software defined networking architecture, security and energy efficiency: A survey. IEEE Communications Surveys & Tutorials. 2017;19:325-346.
Elazim NMA, Sobh MA, Bahaa-Eldin AM. Software defined networking: attacks and countermeasures. in 2018 13th International Conference on Computer Engineering and Systems (ICCES). 2018;555-567.
Zhong W, Yu R, Xie S, Zhang Y, Tsang DHK. Software defined networking for flexible and green energy internet. IEEE Communications Magazine. 2016;54:68-75.
Sallow AB, Sadeeq M, Zebari RR, Abdulrazzaq MB, Mahmood MR, Shukur HM, et al. An investigation for mobile malware behavioral and detection techniques based on android platform. IOSR Journal of Computer Engineering (IOSR-JCE). 22;14-20.
Huang H, Yin H, Min G, Jiang H, Zhang J, Wu Y. Data-driven information plane in software-defined networking. IEEE Communications Magazine. 2017;55:218-224.
Akhunzada A, Ahmed E, Gani A, Khan M, Imran M, Guizani S. Securing the Software Defined Networks: Taxonomy, Requirements, and Open Issues. IEEE Communications Magazine. 2014;53.
Hasan DA, Hussan BK, Zeebaree SR, Ahmed DM, Kareem OS, Sadeeq MA. The impact of test case generation methods on the software performance: A review. International Journal of Science and Business. 2021;5:33-44.
Sadeeq MA, Zeebaree S. Energy management for internet of things via distributed systems. Journal of Applied Science and Technology Trends. 2021;2:59-71.
Abdulraheem AS, Salih AA, Abdulla AI, Sadeeq MA, Salim NO, Abdullah H, et al. Home automation system based on IoT; 2020.
Abdulrahman LM, Zeebaree SR, Kak SF, Sadeeq MA, Adel AZ, Salim BW, et al. A state of art for smart gateways issues and modification. Asian Journal of Research in Computer Science. 2021;1-13.
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Cox JH, Chung J, Donovan S, Ivey J, Clark RJ, Riley G, et al. Advancing software-defined networks: a survey. IEEE Access. 2017;5:25487-25526.
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