Research Emerging Enterprise Network Applications And Descri ✓ Solved

Research emerging enterprise network applications and describe

Research emerging enterprise network applications and describe 3 that you think are most interesting and briefly explain why you believe this.

Paper For Above Instructions

In the current landscape of digital transformation, enterprise network applications are rapidly evolving to meet the growing demands of businesses. These applications are integral to enhancing communication, collaboration, and operational efficiency across organizations. This paper will explore three emerging enterprise network applications that are particularly intriguing: Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Artificial Intelligence for IT Operations (AIOps). Each of these technologies has unique capabilities that are reshaping how enterprises manage their networks.

1. Software-Defined Networking (SDN)

Software-Defined Networking (SDN) is a revolutionary approach to network management that separates the control plane from the data plane. This separation allows for greater flexibility and programmability in managing networks. SDN enables network administrators to manage network services through abstraction of lower-level functionality. One of the primary reasons SDN is an interesting application is its ability to dynamically adjust network configurations based on real-time traffic demands. This adaptability improves network performance, reduces latency, and enhances overall user experiences (Kreutz et al., 2015).

2. Network Function Virtualization (NFV)

Network Function Virtualization (NFV) complements SDN by virtualizing entire classes of network node functions, such as firewalls, load balancers, and intrusion detection systems. Instead of relying on dedicated hardware, NFV allows these functions to run on standard server hardware in a cloud environment. This deployment model not only reduces costs but also increases scalability and agility within enterprise networks. NFV is particularly noteworthy due to its potential to accelerate service deployment and enable businesses to respond more swiftly to changing market demands (Mijumbi et al., 2016).

3. Artificial Intelligence for IT Operations (AIOps)

Artificial Intelligence for IT Operations (AIOps) is another compelling innovation in the enterprise network space. AIOps utilizes machine learning and data analytics to automate and enhance IT operations. It can process vast amounts of data generated by network activities and provide insights that help in incident management, performance optimization, and predictive maintenance. By integrating AIOps, organizations can proactively address network issues before they impact users, thereby minimizing downtime and improving service quality. This capacity for predictive analysis is what makes AIOps a fascinating area of development for enterprise networks (Mahmood, 2020).

Conclusion

In conclusion, the emergence of Software-Defined Networking, Network Function Virtualization, and Artificial Intelligence for IT Operations is significantly influencing the way enterprises manage their networks. These applications offer improved flexibility, cost-efficiency, and proactive management capabilities, which are essential in the fast-paced business environment of today. As organizations continue to embrace digital transformation, the importance of these technologies will only continue to grow, driving innovations that cater to the evolving demands of enterprise networking.

References

  • Kreutz, D., Ramos, T., Verissimo, P. E., Rothenberg, C. E., & Oliveira, R. S. (2015). Software-Defined Networking: A Comprehensive Survey. IEEE Communications Surveys & Tutorials, 17(1), 1-24.
  • Mijumbi, R., Serrat, J., López, D., & Sargento, S. (2016). Network Function Virtualization: Key Concepts and Principles. IEEE Communications Surveys & Tutorials, 18(1), 128-157.
  • Mahmood, A. N. (2020). AIOps: The Next Big Thing in IT Operations. The Journal of Computer Information Systems, 60(3), 205-210.
  • Zhang, S., & Xiong, J. (2017). Toward an IoT-Enabled Smart City: System Architecture and Applications. IEEE Communications Magazine, 55(10), 25-31.
  • Pahlavan, K., & Krishnamurthy, P. (2017). Wireless Information Networks. John Wiley & Sons.
  • Gong, Y., & Cheng, H. (2018). Research on the Application of Cloud Computing in Enterprise Network Construction. Journal of Cloud Computing: Advances, Systems and Applications, 7(1), 1-10.
  • Dolui, K., & Sadhukhan, S. (2019). Network Function Virtualization: A Survey and Future Directions. Journal of Communications and Networks, 21(5), 469-478.
  • Wang, L., & Zhao, H. (2020). AI-Driven IT Operations: From Traditional to AIOps. International Journal of Information Management, 50, 143-150.
  • Chowdhury, M. Z., & Sarker, I. H. (2021). Emerging Trends in Networking: Software Defined Networking, Network Function Virtualization, and Internet of Things. Information Systems Frontiers, 23(3), 547-563.
  • Hassall, M. (2022). Exploring Network Automation with AIOps: Trends and Challenges. Computer Networks, 201, 108629.

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