Software-Defined Networks and Network Function Virtualisation

Disclaimer: This is not a sample of our professional work. The paper has been produced by a student. You can view samples of our work here. Opinions, suggestions, recommendations and results in this piece are those of the author and should not be taken as our company views.

Type of Academic Paper – Essay

Academic Subject – Computer Science

Word Count – 2500 words


Mobile phones and wireless technology connections have grown incredibly within the past three decades. Currently, the third generation and fourth generation mobile technologies are the main systems that provide connections using Interment Protocol core networks (Glisic, 2016). They also focused on providing seamless links to mobile networks such as third-generation, Long-Term Evolution, Wireless Local Area Network and Bluetooth. The fifth-generation will be the user-centric idea in its place of operator-centric concept that third-generation use or service-centric that fourth-generation technology use. Cellular stations will have the ability to combine several in-flows from various technologies. Multi-mode cellular stations have been seen as fourth-generation mobile networks. The objective is to deliver a distinct end-user station that cooperates in various wireless networks and stand the structural problems of power consumption and cost (Chochliouros et al., 2016).

Open wireless design is targeted to back several current wireless air interfaces as well as future wireless communication standards in an open design environment (Jia, 2015). Nevertheless, the growing demand and the varied designs of cellular movement put growing pressure on mobile networks. To take care of the large amount of information transmitted by the new technologies and programs, the future fifth generation of wireless technologies or cellular broadband networks will provide the basic setup for billions and billions of new devices with less anticipated movement designs that will connect the network (Seddiki et al., 2016).

Fifth-generation wireless technology networks must allow the design and use of huge volumes and large connections of multifaceted and powerful mixed setups (Osmani et al., 2014). Consequently, (Ran et al., 2015) networks must be able to handle the multifaceted setup of processes to back the varied rising set of new and unanticipated technologies, end-users and programs such as smartphone, smart cities, cellular manufacturing computerization, automotive connection, machine to machine functions, video surveillance among others all with exceptionally different needs, which will drive cellular technology networks performance and abilities to their limits (Zhang and Chen, 2016). Furthermore, it must offer elastic and scalable utilization of every existing non-contiguous variety, such as further Long-Term Evolution improvements to back small-cells, Future Radio Access for passionately varied network placement situations, in energy effective and safe way (Detti et al., 2011).

Hire an Expert Writer

Orders completed by our expert writers are

  • Formally drafted in an academic style
  • Free Amendments and 100% Plagiarism Free – or your money back!
  • 100% Confidential and Timely Delivery!
  • Free anti-plagiarism report
  • Appreciated by thousands of clients. Check client reviews
Hire an Expert Writer

Software Defined Networking

To deal with these main issues, there is a need to improve future network technologies using intelligence to continue positive placement and understanding of a strong and robust wireless technology globe (Parniewicz et al., 2014). Principles of virtual network administration and function, network function virtualization, and Software Defined Network are re-defining network design to back new needs of the new system for future networks. Software-Defined Network methods are now the favourable technologies that will take broadband networks to the next level, which will probably play an important function in developing fifth-generation wireless technology networks (Kim and Feamster, 2013). Therefore, the future Software Defined Network connected fifth-generation infrastructures have to discourse main issues and needs motivated by numerous communities appropriately, end-users and mobile operators, which will give them better autonomy to stabilize functional parameters, like network flexibility, service presentation and superiority of understanding (Kong et al., 2010).

Software-defined networks is a fresh model move in broadband communication networking, getting growing attention from the mobile sector and researchers. Equally, Networks Virtualization and Networks Functions Virtualization attain adhesion in the telecommunication sector (Kong et al., 2010). Attached collectively, they give way to fresh prospects in network technology designs, administration, functions and control. Terrestrial and satellite technology networks have continuously changed in different ways. Terrestrial network technologies are continuous. Satellite network technologies have conventionally been seen for certain functions or as backup technologies infamous markets like air and sea coverage. They, therefore, depend on network technologies protected by major industry actors (Chowdhury and Boutaba, 2009).

According to Kim et al. (2015), network programming, ingenuousness and virtualization are the crucial elements of current network construction. Assuming these philosophies in broadband telecommunications will assist in reducing capital expenditures and operating expenses, improving the presentation to broadband transmission users, spreading the variety of programs of broadband transmission, and realizing seamless incorporation with terrestrial network technologies (Bhamare et al., 2017).

The use of intelligence in fifth-generation broadband networks will deal with the complexity of unrelated networks by stipulating and offering adjustable resolutions to take care of network heterogeneity (Marković and Rakočević, 2014). Software-Defined Network as the emerging intelligent structure for network programming, will transfer the controlling plane external to the switches and allow peripheral data regulation using a rational application object known as supervisor (Wu et al., 2017). Software-Defined Network offers modest concepts to define the modules, roles they perform, and the protocols to administer the accelerating plane from a local supervisor through a protected frequency. This concept arrests the shared requirements of accelerating objects for the mainstream switches and their transmission objects. This central up to date view will make the organizer appropriate to do network administration functions whereas letting calm adjustment of the network performance via the central regulating plane (Basta et al., 2014).

Figure 1 below shows the general Software Defined Network design. The Software-Defined Network community has assumed several northbound interfaces such as between the regulating plane and programs that give high concepts to program different network level services and programs at the regulating plane (Basta et al., 2014). The OpenFlow principle has come up as the leading technology on the southbound interfaces between the regulating plane and network components. For example, look at the nature of functions of Network Ethernet switch. From the operational viewpoint, a network Ethernet switch may be sub-divided into an information section and a regulating section (Liyanage et al., 2015a). The information section characterizes an accelerating object that promotes incoming data packets to a network Ethernet switch. Accelerating objects comprise of admissions which state to which port the expected network Ethernet casings must be sent. Crowding of accelerating objects with these inputs is the work of regulating section. The regulating section or plane is a group of activities applied to Ethernet structures’ received network to choose their endpoint docks. So that these frames are processed fast, these activities are executed in hardware collectively with the accelerating objects (Contreras et al., 2016).


Software Defined Networking

Figure 1: Architecture of Software Defined Network

Software-Defined Network allows easy management of the whole network using intelligent organization and provisioning arrangements (Hakiri et al., 2014). Therefore, it permits on-demand resource allocations, self-service provision, really virtualized network and safeguards cloud facilities. Therefore, the fixed network may change to an extensive vendor-independent service transfer podium with the ability to respond speedily to varying businesses, user, and market requirements, which significantly abridges the network structure and function. Accordingly, the components no longer require understanding and processing millions of protocol principles but receive commands from the Software-Defined Network regulators (Masoudi and Ghaffari, 2016).

The value of Software Defined Network in fifth-generation wireless network rests precisely in its capability to offer fresh experiences such as network virtualization, programming and building fresh services above the virtualized resources in safe and trustworthy systems (Lindholm et al., 2015). Similarly, Software Defined Network permits the split-up of the regulating logic from particular vendor hardware to open and vendor-neutral application regulators. Therefore, it allows executing routing and information handling tasks of wireless technology setup into application bundles in a universal task machine (Bianchi et al., 2013).

Need an Essay On a Similar Topic?

Order Now

Network Virtualisation

According to Chowdhury and Boutaba (2009), network virtualisation permits the design and co-occurrence of manifold remote and autonomous virtual systems on a common network set-up (Basta et al., 2014). A virtual network is a rational network with certain devices such as servers, switches, routers, and other nodes and connections virtually separate. A virtual component is a construct of a network component that is frequently stored on a sole physical computer known as the server. It performs network activities like routing, accelerating, and responding to user queries by using a section of the server computer’s resources. Resources assigned to virtual network components are as varied as central processing units, unstable storage, network lines, backups, and switches, among others (Chowdhury and Boutaba, 2009). Equally, a virtual connection is a network connection set up on single or several physical connections or physical routes. It uses communication resources such as physical connections’ bandwidth and transferring resources at the navigated physical devices (Basta et al., 2014).

Network Function Virtualization

According to Basta et al. (2014), among the exciting complementary technologies of Software Defined Network that can intensely affect the future fifth-generation networks and how to refactor the design of heritage networks is virtualisation of as many network activities as one can, a concept commonly known as Network Function Virtualization (Chowdhury and Boutaba, 2009). The aim of Network Function Virtualization is to virtualise or software a network into a set of network activities by setting them up into application bundles, which may be accumulated and bound to generate similar services offered by legacy networks. It is likely, for instance, to set up a virtualised Session Border Controller so that it protects network setup more simply than mounting the conservative compound and costly network equipments. The idea of Network Function Virtualisation is inbred from the conventional server virtualisation that can be mounted several virtual machineries handling various operating systems, applications and methods (Chowdhury and Boutaba, 2009).

Conventionally, network users had constantly favoured the use of special, extraordinary accessible black box network equipment to set up networks (Chowdhury and Boutaba, 2009). Nevertheless, this obsolete method unavoidably leads to a long time to market (CAPEX) and needs a good employee (OPEX) to organise and use them. N Network Function Virtualization technology’s main objective is to construct an end to end setup and allow the merging of various mixed network components by transferring network activities from special hardware into general-purpose computers or storage boards servers. Network activities are executed in application bundles installed in virtualised setup, which will permit fresh flexibilities in operationalising and administering cellular networks (Basta et al., 2014).

The other significant area in fifth-generation carrier-grade cellular networks that can be enhanced by employing Network Function Virtualization in cloud setups is flexibility (Kim and Feamster, 2013). Using network activities in information centres permit apparent relocation between either virtual server or actual computers. Moreover, executing cellular network activities in information centres will permit additional flexibility in the context of resource administration, transfer, and surmounting. This positively affects the growth of systems and energy effectiveness of networks, as over-provisioning is avoided by simply utilising the required volume of resources (Wu et al., 2017).


Network Virtualisation

Figure 2: Network Function Virtualization

In this proposal, the researcher will examine how Software Defined Network, network virtualisation and Network Function Virtualization may improve broadband setups or designs to realise the aforesaid aims. Through applied use cases, the researcher will exhibit the benefits that will come out from the incorporation of these evolving models into communication broadband networks (Chowdhury and Boutaba, 2009).


Evolutions, merging and inventions are the main drivers that will take broadband technologies to the fifth generation to meet a wide variety of services and programs necessities of the information age. To this end, broadband networks need to be structured with the future well taken care of. This will allow hardware to be abstracted and dynamically used via network virtualisation techniques, which is the reason all-inclusive Software Defined Network and Network Function Virtualization approaches are supreme (Glisic, 2016).

The fifth-generation networks are a mixture of several systems and technologies requiring sharing the frequency scale and the physical organisation. However, wireless network technology and broadband technology networks will bring challenging concerns concerning their incorporation in the future fifth-generation wireless and mobile broadband world. Leveraging Software Defined Network and Network Function Virtualization for backing and enhancing Long-Term Evolution networks remains an open subject that must deal with how the networks work (Liyanage et al., 2015). SatCom systems as well bring challenging problems on how satellites are going to be assimilated to the terrestrial wireless networks in such a manner to offer mixed sections in a unified and joined way. Security well is an open subject in Software-Defined Network-enabled fifth-generation networks. The programming of Software Defined Network offers a compound set of issues facing the growing susceptibilities, which will transform the subtleties that surround safeguarding the wireless network setup (Masoudi and Ghaffari, 2016).

This proposal has indicated that certain prospects are available in Software Defined Network and Network Function Virtualization models to mobile broadband networks and the effects on network design (Liyanage et al., 2015). Software-Defined Network and Network Function Virtualization are paired answers. Software-Defined Network passes elasticity, computerisations and customisations to the broadband networks. Network Function Virtualization conveys quickness in the transmission of services and decreases the time to market growth of fresh services (Basta et al., 2014).


  • Basta, A., Blenk, A., Hoffmann, M., Morper, H.J., Hoffmann, K., Kellerer, W., 2014. SDN and NFV Dynamic Operation of LTE EPC Gateways for Time-Varying Traffic Patterns in Mobile Networks and Management. Presented at the International Conference on Mobile Networks and Management, Springer, Cham, pp. 63–76.
  • Bhamare, D., Samaka, M., Erbad, A., Jain, R., Gupta, L., Chan, H.A., 2017. Optimal Virtual Network Function Placement in Multi-cloud Service Function Chaining Architecture. Comput Commun 102, 1–16.
  • Bianchi, G., Lyakhov, A., Khorov, E., 2013. Wireless Access Flexibility: First International Workshop, WiFlex 2013, Kaliningrad, Russia, September 4-6, 2013, Proceedings. Springer.
  • Chochliouros, I.P., Giannoulakis, I., Kourtis, T., Belesioti, M., Sfakianakis, E., Spiliopoulou, A.S., Bompetsis, N., Kafetzakis, E., Goratti, L., Dardamanis, A., 2016. A Model for an Innovative 5G-Oriented Architecture, Based on Small Cells Coordination for Multi-tenancy and Edge Services, in Artificial Intelligence Applications and Innovations. Presented at the IFIP International Conference on Artificial Intelligence Applications and Innovations, Springer, Cham, pp. 666–675.
  • Chowdhury, N.M.M.K., Boutaba, R., 2009. Network virtualisation: state of the art and research challenges. IEEE Commun. Mag. 47, 20–26. doi:10.1109/MCOM.2009.5183468
  • Contreras, L.M., Cominardi, L., Qian, H., Bernardos, C.J., 2016. Software-Defined Mobility Management: Architecture Proposal and Future Directions. Mob. Netw. Appl. 21, 226–236.
  • Detti, A., Blefari Melazzi, N., Salsano, S., Pomposini, M., 2011. CONET: A Content-Centric Inter-networking Architecture, in Proceedings of the ACM SIGCOMM Workshop on Information-Centric Networking, ICN ’11. ACM, New York, NY, USA, pp. 50–55.
  • Glisic, S.G., 2016. Advanced Wireless Networks: Technology and Business Models. John Wiley & Sons.
  • Hakiri, A., Gokhale, A., Berthou, P., Schmidt, D.C., Gayraud, T., 2014. Software-Defined Networking. Comput Netw 75, 453–471.
  • Jia, W.-K., 2015. Architectural Design of an Optimal Routed Network-based Mobility Management Function for SDN-based EPC Networks, in Proceedings of the 11th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Q2SWinet ’15. ACM, New York, NY, USA, pp. 67–74.
  • Kim, H., Feamster, N., 2013. Improving network management with software-defined networking. IEEE Commun. Mag. 51, 114–119.
  • Kim, M., Lee, G., Choo, S., Pack, S., Kim, Y., 2015. Optimal Flow Distribution Algorithm for Efficient Service Function Chaining. J. Korean Inst. Commun. Inf. Sci. 40, 1032–1039. d
  • Kong, H., Oh, S., Kim, M., Choo, H., 2010. Load Balancing of Local Mobility Anchors in Proxy Mobile IPv6 Networks, in Proceedings of the Second Asia-Pacific Symposium on Internetware, Internetware ’10. ACM, New York, NY, USA, p. 16:1–16:5.
  • Lindholm, H., Osmani, L., Flinck, H., Tarkoma, S., Rao, A., 2015. State Space Analysis to Refactor the Mobile Core, in Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges, AllThingsCellular ’15. ACM, New York, NY, USA, pp. 31–36.
  • Liyanage, M., Gurtov, A., Ylianttila, M., 2015. Software-Defined Mobile Networks (SDMN): Beyond LTE Network Architecture. John Wiley & Sons.
  • Masoudi, R., Ghaffari, A., 2016. Software-Defined Networks. J Netw Comput Appl 67, 1–25.
  • Osmani, L., Lindholm, H., Chemmagate, B., Rao, A., Tarkoma, S., Heinonen, J., Flinck, H., 2014. Building Blocks for an Elastic Mobile Core, in: Proceedings of the 2014 CoNEXT on Student Workshop, CoNEXT Student Workshop ’14. ACM, New York, NY, USA, pp. 43–45.
  • Parniewicz, D., Doriguzzi Corin, R., Ogrodowczyk, L., Rashidi Fard, M., Matias, J., Gerola, M., Fuentes, V., Toseef, U., Zaalouk, A., Belter, B., Jacob, E., Pentikousis, K., 2014. Design and Implementation of an OpenFlow Hardware Abstraction Layer, in: Proceedings of the 2014 ACM SIGCOMM Workshop on Distributed Cloud Computing, DCC ’14. ACM, New York, NY, USA, pp. 71–76.
  • Ran, C., Wang, S., Wang, C., 2015. Cellular Networks Planning. Comput Netw 84, 64–75.
  • Seddiki, M.S., Frikha, M., Song, Y.-Q., 2016. A non-cooperative game-theoretic framework for resource allocation in network virtualisation. Telecommun. Syst. 61, 209–219.
  • Wu, Y., Qian, L.P., Huang, J., Shen, X. (Sherman), 2017. Radio Resource Management for Mobile Traffic Offloading in Heterogeneous Cellular Networks. Springer.
  • Zhang, Y., Chen, M., 2016. Cloud Based 5G Wireless Networks. Springer.

DMCA / Removal Request

If you are the original writer of this essay and no longer wish to have the essay published on the, then please:

Request Removal

Frequently Asked Questions

Tips for writing an excellent undergraduate essay:

  1. Understand the prompt fully.
  2. Conduct thorough research.
  3. Create a clear thesis statement.
  4. Organise with an introduction, body, conclusion.
  5. Provide evidence and examples.
  6. Revise for clarity and coherence.
  7. Proofread for errors.