Cloud Computing -

Krishna Jadhav

Current Cloud Computing trends for future success

As per Krishna Jadhav Today, high-volume data generation is no more considered rocket science or a theoretical assumption, with international companies using cloud computing for their data solutions (Gedeon et al., 2019). However, storing such enormous data volumes is still an eminent challenge, for which companies are often required to invest separately in storage security(Figure 1).

With the majority of industries gradually shifting to Cloud, the latest trends for future success are:

● Increase in storage capacity

● Enhancement of Internet performance

● Prioritisation of modular software

● IoT and Cloud Computing Collaboration

● Future change prediction data

● Cloud Service improvement

● Security

● Economic accessibility

Figure 1: Networking in Computer Laboratories

(Source: Ouda and Yas, 2021)

Now more than ever, businesses seek creative methods to expand and achieve their objectives. This company will continue to expand in the future with the aid of cloud computing. Cloud computing is solid and vast, and it will continue to expand and give numerous benefits in the future. It is important to remember that the company's owner should be updated on the newest cloud technology developments (Teoh, Gill and Parlikad, 2021). As software as a service solution will handle more than 60% of the workload, several academics have demonstrated that cloud computing will be one of the leading technologies in the future.

Figure 2: Design of network architecture using private cloud servers

(Source: Ouda and Yas, 2021)

Private cloud computing is a gradually emerging trend focusing on access management, applications management, and security management, with newer approaches to network, server, and computer specifications (Figure 2). Private cloud computing is a service that meets a company's needs through local and internet network access. Software as a Service is used in computer laboratories to make them better and easier to control (Figueroa-Lorenzo, Añorga and Arrizabalaga, 2019). Users of SaaS cannot arbitrarily install and update the software without getting the approval of the server, so there is no disruption of computer networks.

Recommended network specifications

● Modular connection type RJ-45 Cat5

● Star topology simplifies installing, wiring, finding problems, and removing components from a built-in network.

● Category 5 cable

● NETGEAR (48 port) switches with 10/100/1000 Mbps ports

Figure 3: Server Specialisation recommendation (future prediction)

(Source: Self-developed)

Conclusion

Krishna Jadhav concludes Access management is accomplished through a Secure Sockets Layer (SSL) certificate, which activates the HTTPS protocol and provides secure interactions between client and server. In conclusion, each account requires a username and password for login, requiring influential recommendation trends for service specialisation (Figure 3). Furthermore, each account has storage constraints and a maximum file size limit for uploading and downloading.

To learn about Security Centre and Cloud Computing’s role in its, look forward to the next Article.

Reference List

Figueroa-Lorenzo, S., Añorga, J., and Arrizabalaga, S. (2019). A role-based access control model in modbus SCADA systems. A centralized model approach. Sensors, 19(20), 4455. https://www.mdpi.com/552834

Gedeon, J., Brandherm, F., Egert, R., Grube, T., and Mühlhäuser, M. (2019). What the fog? edge computing revisited: Promises, applications and future challenges. IEEE Access, 7, 152847-152878. https://ieeexplore.ieee.org/abstract/document/8877785/

Ouda, G. K., and Yas, Q. M. (2021, February). Design of cloud computing for educational centers using private cloud computing: a case study. In Journal of Physics: Conference Series (Vol. 1804, No. 1, p. 012119). IOP Publishing. https://iopscience.iop.org/article/10.1088/1742-6596/1804/1/012119/meta

Teoh, Y. K., Gill, S. S., and Parlikad, A. K. (2021). IoT and fog computing based predictive maintenance model for effective asset management in industry 4.0 using machine learning. IEEE Internet of Things Journal. https://ieeexplore.ieee.org/abstract/document/9319212/