Acta Scientific Computer Sciences

Short Communication Volume 4 Issue 4

Virtualization Technology: Overview and Example

Radhya Sahal*

Faculty of Computer Science and Engineering, Hodeidah University, Al Hudaydah, Yemen

*Corresponding Author: Radhya Sahal, Faculty of Computer Science and Engineering, Hodeidah University, Al Hudaydah, Yemen.

Received: January 12, 2022; Published: March 03, 2022

Virtualization technology overview

Virtualization technology is not new. It is used in the past in the 70's as a solution to minimize cost and utilize resources for the huge infrastructure in mainframe computers [1-3]. In the 80's, expensive mainframes replaced minicomputers with low costs, so the virtualization technology disappeared in this period. In the last decade, virtualization technology is returned as a solution for some challenges facing networking technologies and data centres [4]. These challenges are security, availability, reliability, cost, space, and power consumption. Virtualization supports the server consolidation approach, which uses a set of provisioned VMs into a minimum number of physical servers to optimize resources and minimize the number of physical servers [5-7]. The consolidated servers are easier management and cheaper in terms of enormous infrastructure space and power consumption. Also, if any failure has happened in the virtual machine (VM), it will not affect other VMs. Moreover, the performance of any VM is not affected by the performance of other VMs. In addition, it is easier to migrate and protect VMs if there is any failure takes place [1].


Keywords: Virtualization; Virtual Machine; Full Virtualization and Para-virtualization; Xen

References

  1. DA Menascé. "Virtualization: Concepts, Applications, and Performance Modeling”. in Proceedings of the Computer Measurement Group Conference (2005): 407-414.
  2. Menken and G Blokdijk. “Cloud Computing Virtualization Specialist Complete Certification Kit - Study Guide Book and Online Course - Second Edition”. London, UK, UK: Emereo Pty Ltd (2010).
  3. R P Goldberg. "Survey of virtual machine research”. IEEE Computer 7 (1974): 34-45.
  4. R Rose. “Survey of System Virtualization Techniques”. Lisbon, Portugal: Theses (Electrical Engineering and Computer Science) MS non-thesis Research Papers (EECS) (2004).
  5. Soror A., et al. “Database Virtualization: A New Frontier for Database Tuning and Physical Design”. in Proceedings of ICDE Workshops (SMDB 2007), (2007): 388-394.
  6. R Buyya., et al. “Cloud Computing Principles and Paradigms”. Wiley Publishing (2011).
  7. R Sahal., et al. “Automatic calibration of database cost model in cloud computing”. in 2012 8th International conference on informatics and systems (INFOS) (2012): CC-25-CC-34.
  8. F A Omara., et al. “Optimum Resource Allocation of Database in Cloud Computing”. Egyptian Informatics Journal 15 (2014): 1-12.
  9. U F Minhas., et al. “Database systems on virtual machines: How much do you lose?”. in Proceedings of the 2008 IEEE 24th International Conference on Data Engineering Workshop (2008): 35-41.
  10. D E Williams. “Virtualization with Xen: Including Xenenterprise, Xenserver, and Xenexpress”. Syngress Publishing (2007).
  11. R Sahal., et al. “GPSO: An improved search algorithm for resource allocation in cloud databases”. in 2013 ACS International Conference on Computer Systems and Applications (AICCSA), (2013): 1-8.

Citation

Citation: Radhya Sahal. “Virtualization Technology: Overview and Example". Acta Scientific Computer Sciences 4.4 (2022): 15-16.

Copyright

Copyright: © 2022 Radhya Sahal. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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