Virtualization in cloud computing
Virtualization software is often used to complete the computer system and to allow a guest computer to run, and it also acts as a host computer. Allowing Linux to run the computer operating on the Microsoft Windows operating system. The benefits of virtualization software reduce hardware costs and increase productivity. The security concerns of sprawl are that it affects machines even without IT detecting it, although it can be solved through identifying the scope, the entities coverage, and taking a platform.
They are reducing hardware costs. Theoretically, humans only use 10% of their brains’ command, while servers use 5-15% of their capacity (Singh, 2018, p.64). Virtualization is achieved and increased because one server can hold multiple machines, thus reducing the hardware costs. According to a report conducted by Singh, virtualization reduces up to 40% of hardware costs.
Increased productivity. Virtualization increases productivity in those applications that used to take weeks or days is now done in minutes (Verma, Malla, Choudhary, & Arora, 2019, p.129). Server virtualization brings positive transformations such as better recovery solutions, commercial use, and efficient use of energy and increases staff productivity.
Security concerns highlighted by sprawl. Virtual sprawl is defined as the proliferation of machines without IT control. Virtual machines quickly generate sprawl, and IT finds it hard to detect them (Verma, Malla, Choudhary, & Arora, 2019, p.129). According to Singh, 60% of virtual machines are less secure than their physical counterparts through a hypervisor.
In conclusion, there are a lot of benefits of virtualization software and virtualization of software makes works more accessible and faster. Sprawl should be identified early enough before it affects the machine; the IT department should regularly be checking sprawl in machines because it is so hard to detect.
References
Singh, M. (2018, October). Virtualization in Cloud Computing-a Study. In 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) (pp. 64-67). IEEE.
Verma, A., Malla, D., Choudhary, A. K., & Arora, V. (2019, February). A Detailed Study of Azure Platform & Its Cognitive Services. In 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) (pp. 129-134). IEEE.
Chapter 6, “Architecture and Infrastructure” pp. 143-150