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Technology Forecasting: The Case of Cloud Computing and Sub-technologies

by Amol C. Adamuthe, Jyoti V. Tomke, Gopakumaran T. Thampi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 2
Year of Publication: 2014
Authors: Amol C. Adamuthe, Jyoti V. Tomke, Gopakumaran T. Thampi
10.5120/18491-9553

Amol C. Adamuthe, Jyoti V. Tomke, Gopakumaran T. Thampi . Technology Forecasting: The Case of Cloud Computing and Sub-technologies. International Journal of Computer Applications. 106, 2 ( November 2014), 14-19. DOI=10.5120/18491-9553

@article{ 10.5120/18491-9553,
author = { Amol C. Adamuthe, Jyoti V. Tomke, Gopakumaran T. Thampi },
title = { Technology Forecasting: The Case of Cloud Computing and Sub-technologies },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 2 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number2/18491-9553/ },
doi = { 10.5120/18491-9553 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:18.739735+05:30
%A Amol C. Adamuthe
%A Jyoti V. Tomke
%A Gopakumaran T. Thampi
%T Technology Forecasting: The Case of Cloud Computing and Sub-technologies
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 2
%P 14-19
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Forecasting natural phenomena and cycles of various events of human interest gains importance in the contemporary world. A spurt of research and investigative patents and documentation shows the patronage of the same by mammoth enterprises and competitive governments looking for cost arbitrage for greater market share for their products and processes. Awareness of self-gratifying technologies, product life cycles and products and process innovations having a greater bearings on these nascent and concerted research initiatives in the realm of technology forecasting. This paper reports a study of the use of number of patents filed as indicators of technological development in the field of cloud computing technology. The relevant data is accessible from US patent office. This paper focuses on trend analysis forecasting techniques to analyze the evolutionary process and the level of maturity of cloud computing technology. Trend projection and logistic growth curve methods are applied for long range forecasting of cloud computing and it's sub-technologies. The result shows that the growth of the technologies is fast and except Web 2. 0 all technologies have crossed the inflection point.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing Growth curves Technology forecasting Trend projection.

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