The Concept of Cloud Computing
Cloud computing is a practice of making use of remote servers which are hosted on the internet for the purpose of storing, managing and process data, rather than a local server or a personal computer. This research report has been made by keeping in mind about the cloud computing. The author is curious to know about the concept of cloud computing and what benefits it provides. To know about this, research study will be conducted by the researcher and its various advantages and limitations will be discussed (Silverman, 2016).
Furthermore, the researcher also wanted to let this concept be familiar with every business so that businessmen can take out advantages of this technology but this can be done only when the concept of cloud computing is known to businessperson. Therefore, author would identify the concept and will let every businessperson know about this before switching to this technology.
To identify the concept of cloud computing and its benefit to the organization to bring improvement in their working
Scope of this project is very wide because the result of this research will help many organizations in bringing improvement in their working. This research study can be helpful for many organizations like profits and non-profits companies, hospitals, schools, universities, government organizations, etc. This will help them to secure their data and other important things for life long and this way they can carry out their business or working in an efficient manner.
The concept of cloud computing can be defined as the term for the usage of delivery of some services hosted on the internet. The concept ensures that the organizations can use the computer-based resources like virtual machine or storage or any application based on its utility and also the concept is quite similar to building as well as maintaining the computer-based infrastructures. There are numbers of advantages as well as disadvantages of cloud computing, and some of the advantages are self-services provisioning.
The model of deployment related to cloud computing can be hybrid, private and public. Privately owned cloud services can be delivered from the data center of the business for internal consumers. The model also provides convenience as well as versatility where preserving the management, overall controls and securities to different domestic data centers are crucial. In the public domain of the concept, there is the existence of third-party providers that have the capability to provide some cloud-based services over the internet.
The public based services are usually sold as per the demand, and it is also charged per minute or in some cases hour. Consumers can only pay for the cycles in CPU, bandwidth consumed. There are number of cloud providers that consist of Amazon Web Services or IBM or Microsoft and Google Computer based Engine.
Comparative analysis of cloud computing have been done on the basis of several parameters such as costs savings, reliability of system, management, strategic and competitive edge, simple execution, accessibility, no need of hardware, growth & flexibility and recovery in an efficient manner.
Advantages and Limitations of Cloud Computing
Primary research question
To know the concept of cloud computing and how it is benefitting the organization to bring improvement in their working?
Secondary research questions
- What are the features of cloud computing?
- How organization can be benefitted by using cloud computing?
- What are the gaps which can be identified in cloud computing?
Research philosophy is one of the methodologies which have a proper paradigm of research which provides appropriate technique to carry out the study of cloud computing to be used by every organization. Further, there are basically two types of philosophies which come under research philosophy and that are positivism and interpretivism (Flick, 2015). In positivism research philosophy, emphasize has been made upon the objectivity of the subject and on the other hand, in interpretivism philosophy, subjectivity of the aims and objectives of the research has been highlighted. [Appendix 1…]
Research Approach
Research approach contains two approaches such as inductive approach and deductive approach. Using any of these approaches, researcher can carry out its research in a general and specific manner. Moreover, deductive approach can be considered as that approach which goes from general information to the specific one. In contrast to this, inductive approach emphasize upon specific to general research (Gallicchio and Levy, 2011). In order to identify the features of cloud computing, researcher will use deductive research approach. Further, the reason behind the usage of this approach is to identify the general cloud computing features and its advantages for the organization. [Appendix 1…]
Research design
Research design can be defined as the blue print or data plan for the whole research study. Further, there are many different types of research design which can be utilized by the researcher for conducting several researches. Different types of research design are descriptive, diagnostic, experimental and explanatory research design (Ponterotto, 2010). For carrying out the present study, an author will use descriptive research design because this will provide him with the appropriate design so that the researcher can do the investigation regarding the features of cloud computing and its advantage in the organization. [Appendix 1…]
Research technique
There are basically two research techniques which can be used to carry out the research project. First technique is qualitative and second is the quantitative research technique. These two techniques will play an essential role for the purpose to carry out the research in an efficient manner.
Further, qualitative research technique will aid the researcher to bring in light the understanding of the theoretical perspective as well as subjective concept of the given study (Kersh, Stroup and Taylor, 2011). On the other hand, quantitative technique emphasize on the fulfillment of numerical concepts of the study. Thus, the present study is nowhere related to the numerical terms, therefore, for carrying out the given research project, researcher will make use of qualitative techniques for completing its research study. However, data will also collect from the primary sources as well. Therefore, researcher will also use quantitative technique up to certain extent in his present study. [Appendix 1…]
Data collection method
Data collection is the primary activity of any research project and it is undertaken by the investigator for gathering information on the basis of which further research can be carried out. Therefore, an author collects the data from various sources and those sources have been basically grouped into two sources viz. primary source and secondary source (Gelman, A. and et.al., 2014). Primary sources are those from where data can be collected for the first time and those data are regarded as fresh data like. On the other hand, secondary sources are those from where data is collected form already researched material. [Appendix 1…]
Deployment Models of Cloud Computing
Sampling method
As it is known that, researcher will also collect data from primary sources and for that survey and interview will be conducted. Therefore, researcher needs a sample of participants so that they can carry out its research upon. For taking that sample, a sampling method will be used. Further, there are basically two types of sampling methods available for the researcher that are probability sampling and non-probability sampling (Smith, 2015). [Appendix 1…]
Quantitative Research
Data analysis
Analysis of data is done at the end in order to obtain the results for the research study. Collected data is analyzed by the researcher so that hypothesis can be proved or disproved and this way author can achieve the aims and objectives of the research study. Furthermore, there are two types of data analysis techniques viz. thematic and statistical. One out of two techniques can be used by the researcher of any research project to analyses the collected data. Therefore, for the present study, researcher will use thematic technique of data analysis by making themes of all the survey and interviews question (Research Design, 2016). Thus, this technique of data analysis will enable the author to write its findings so that he can easily reach towards the attainment of goal.
Sampling method
For this research study, investigator will use probability sampling as it will help in selecting a sample on a probability sampling. Under this type, author will use simple random sampling where on a random basis, organization will be chosen so that unbiased result can be achieved. Sample size of the research will be 8.
Research instrument
For doing primary research, researcher has used survey questionnaire as a research instrument and got it fill from 8 organizations which have been chosen using simple random sampling. Through this researcher has gathered the data for the primary research.
Ethical consideration
Ethics is required in every field for carrying out any kind of work. Work done without ethics has no value in the world. Therefore, it is required by the researcher to take ethical consideration while making this research project (Ponterotto, 2010). There are few ethical points which should be borne into mind while collecting data from the sources and also while making project.
- While collecting data from the primary source, author should not force any of the participants to give the survey or interview. Moreover, the researcher should also keep the personal information of participant confidential.
- Furthermore, while taking data from secondary source, author should not do the copy pasting as this will lead to the serious crime of plagiarism (Flick, 2015).
- While making this project, author should take care about the environment and society.
Limitation of this research is that the result obtained by this research may not be useful for the organizations which are very cost effective. The reason is that through this research costing of cloud computing cannot be obtained which will be difficult for the organizations to install it in their company for making its work effective. Moreover, there are various influences which are beyond the control of researcher.
For instance, while investigating on this study any new technology better than cloud computing get emerged then it may fail this study. Furthermore, there is a time constraint which could act as the limitation for this research. Along with that, there is a possibility that sample which have been chosen for the research may not conclude the desired result and due to this the entire study turns out be opposite. In contrast, sample may not respond in an accurate manner which may alter the result of the study and due to this false result can be calculated.
Conclusion
The concept of cloud computing is rapidly changing, and it will continue to play a rising role for different kinds of organizations like non-profit or charities and other organization along with some critical IT based systems. It is important to understand, which system will move into the system and it will vary from one organization to another. There are so many cloud-based tools that are being developed at all times and therefore if companies are not ready for the system, it is important to find a good cloud solution at a later time.
References
Journals and Books
Silverman, D., 2016. Qualitative research. Sage.
Maxwell, J.A., 2012. Qualitative research design: An interactive approach (Vol. 41). Sage publications.
Panneerselvam, R., 2014. Research methodology. PHI Learning Pvt. Ltd..
Matthews, B. and Ross, L., 2014. Research methods. Pearson Higher Ed.
Flick, U., 2015. Introducing research methodology: A beginner’s guide to doing a research project. Sage.
Fraley, R.C. and Hudson, N.W., 2014. Review of Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research.
Gallicchio, E. and Levy, R.M., 2011. Advances in all atom sampling methods for modeling protein–ligand binding affinities. Current opinion in structural biology, 21(2), pp.161-166.
Guentsch, A. and et.al., 2011. Comparison of gingival crevicular fluid sampling methods in patients with severe chronic periodontitis. Journal of periodontology, 82(7), pp.1051-1060.
Ponterotto, J.G., 2010. Qualitative research in multicultural psychology: Philosophical underpinnings, popular approaches, and ethical considerations. Cultural Diversity and Ethnic Minority Psychology, 16(4), p.581.
Lehavot, K., Barnett, J.E. and Powers, D., 2010. Psychotherapy, professional relationships, and ethical considerations in the myspace generation. Professional Psychology: Research and Practice, 41(2), p.160.
Kersh, R., Stroup, D.F. and Taylor, W.C., 2011. Childhood obesity: a framework for policy approaches and ethical considerations. Prev Chronic Dis, 8(5), p.A93.
Agresti, A. and Kateri, M., 2011. Categorical data analysis (pp. 206-208). Springer Berlin Heidelberg.
Gelman, A., Carlin, J.B., Stern, H.S. and Rubin, D.B., 2014. Bayesian data analysis (Vol. 2). Boca Raton, FL, USA: Chapman & Hall/CRC.
Smith, J.A., 2015. Qualitative psychology: A practical guide to research methods. Sage.
Online
Research Design. 2016. [Online]. Available through <https://research-methodology.net/research-methodology/research-design/>. [Accessed on 16th May, 2017].
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