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Virtual Machines

This presentation discusses the key disadvantages of virtual machines, focusing on performance issues, server sprawl, data center virtualization complexities, and the challenges of deployment and maintenance. It highlights the potential limitations of virtualization, such as slower performance compared to dedicated high-availability systems, difficulties in managing numerous virtual resources, and challenges in network setup and security. The conclusion emphasizes the ongoing evolution of virtualization technologies and their impact on resource utilization and scalability.

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Virtual Machines

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  1. Virtual Machines Disadvantages & Conclusion Presented by Muhammad Sheraz Anjum BS (IT) -07-16 Computer Science Department Bahauddin Zakariya University, Multan Tuesday, March 11, 2008

  2. DISADVANTAGES • Performance • Server sprawl • Data Center virtualization • Complex Deployment and Maintenance • Others

  3. PERFORMANCE • It is the most popular disadvantage in discussions of whether to use virtualization technologies. • Large high-availability systems are generally faster than large virtualized environments.

  4. SERVER SPRAWL • By installing an application in its own dedicated operating system upgrades can be isolated to either that single application or operating system.

  5. DATA CENTER VIRTUALIZATION DEF:-Data centers typically consist of a large number of heterogeneous servers, separating customers physically and logically. In the case of shared disk system the concept of virtual machines is worthless.

  6. Complex Deployment and Maintenance • When a large number of logical resources are consolidated onto a small number of physical resources, the consequences of downtime increases. • the possibilities increase thus complicating the management of the environment.

  7. OTHERS • No 3D support. • Sound support also have a problem. • Setting up a network is comparatively difficult than setting it on physical machine. • Security on internet

  8. CONCLUSION • As virtualization technologies continue to evolve in terms of the management components, the utilization of computing resources will continue to come closer to 100% utilization with the ability to scale out and in on-demand as physical resources are added and removed.

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