Identification and Operation of Other Works Defining the Variables/Constructs Similar to Desktop Virtualization
Other people’s works have defined the constructs or variables that are similar to a functional desktop virtualization system (Johnson, 2011). Their identification and operation refer to a combination of attributes that can be measured and analyzed statistically in the quantitative research. This makes it possible to attain numeric inferences required for this quantitative research. Additionally, there are various variables that can be considered and measured to support the quantitative aspects of the research. The location of measures or instruments applicable for the success of this research contributes to the quantitative concepts and methodology (Kennedy, 2007).
Variables identified and discussed are crucial for examining the reliability of this study in regards to measurements and other considerable provisions. The storage of Hand-On Experiences aids in providing proper management. This relates to the literature review executed, and this information is followed by the concepts of virtualization. It is crucial to note from the identified variables that desktop virtualization is not only applicable in data centers but also to the products (James, 2008).
Measurements/Assessments summarizing the Literature of Desktop Virtualization
Dustin explains that measurements and assessments of the installation of different software(s) require wise procedures on how to increase the availability of the virtual machines and services, creating the templates of virtual machines, performing from virtual to physical transitions on migrations, and application of virtualization on desktops (2010).
Definition of the Dissertation’s Variables or Constructs
One of the variables identified incorporates Host-Based virtual machines which refer to every user hooking up to a solitary virtual system located in a data centre (James, 2008). Additionally, there are Host-based physical machines or blades which refer to the OS operating straight on a physical hardware situated in a data centre which will be measured and assessed to ascertain their reliability and validity in order to develop and operate a functional desktop virtualization system (Wolf & Halter, 2005).
Validity and Reliability for Quantitative Research
Validity and reliability for quantitative research is brought about by discerning the efficiency, usability, reparability, and credibility of the system. It is evident from various sources that the OS used in this system must provide some credibility in order to meet the qualitative demands of this study. Reviewing the reading completed in RSH9103 concerning the assessment of constructs in qualitative investigations demonstrates various aspects of credibility, dependability, and integrity of the research. Various aspects of measurement and credible assessments are necessary in this context. It is important to understand several provisions of this topic in order to make a serious contribution to the analysis and compilation of reliable information (Winter, 2007).
Established Psychometric Properties of Pre-existing Measures
Psychometric analysis will help to illuminate the alignment of the studies of the proposed constructs of the research.
Psychometric properties evaluate the content and cognitive aspects of test items used. This will help to elicit the credibility, integrity, reliability, and dependability and also to create job validation, standard settings, and practices helpful for the alleged quantitative assessment/evaluation. The test scores attained might provide some sense of regularity and stability. This is helpful for cognitive enhancements and coherency required for the desktop virtualization. The methods established, ratified, and embraced in this study will assess the validity and reliability of the measures created (Langone & Leibovici, 2012)
References
Dustin, F. (2010). Desktop Virtualization in Action: Simplicity is Power. Academic Search Premier, 19(1), 50-190.
James, M. (2008). Virtualization: 100 success secrets : 100 most asked questions on server and desktop virtualization, Thinapp software, Windows and Visa applications. New York, NY: Lulu.com.
Johnson, M. (2011). Desktop Virtualization: What You Need to Know for IT Operations Management. Emereo Pty Limited, 1(1) 201 – 220.
Kennedy, R. (2007). Application and Desktop Virtualization. MasterFILE Premier. 1(1), 28-32.
Langone, J. & Leibovici, A. (2012). VMware View 5 desktop virtualization solutions: A complete guide to planning and designing solutions based on VMware View 5. Birmingham: PACKT Pub. Ltd.
Winter, S. (2007). Concept for system virtualization in the field of high availability computing. London: GRIN Verlag.
Wolf, C. & Halter, E. (2005). Virtualization: From the desktop to the enterprise. Berkeley, CA: Apress.