UNDERSTANDING THE CLOUD COMPUTING ECOSYSTEM: A QUANTITATIVE ANALYSIS

Authors

  • Harsh Patel Department of Computer Science, Ranchi University, India
  • Prachi Shah Department of Computer Science, Ranchi University, India

Keywords:

Cloud Computing, Quantitative Content Analysis, Sentiment Analysis

Abstract

A large number of companies are using cloud computing facilities to decrease budgets and rise the elasticity of their IT structure. This has sparked controversy among staff and investigators over the welfares and hazards of cloud computing. This study uses content analysis to test cloud computing systems. Analytical data includes high-quality investigation courses and staff-directed articles from journals and websites. We use n-gram and cluster algorithm k-methods for literature study. The input of this paper is twofold: first, it recognizes the key words and themes that are part of the cloud computing program that we have integrated with the entire model. Second, the paper reveals the sentiments of important issues expressed in both academic and educational contexts.

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Published

2019-11-30

Issue

Vol. 6 No. 11 (2019): IJIERT

Section

Articles

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How to Cite

Harsh Patel, & Prachi Shah. (2019). UNDERSTANDING THE CLOUD COMPUTING ECOSYSTEM: A QUANTITATIVE ANALYSIS. International Journal of Innovations in Engineering Research and Technology, 6(11), 96-101. https://repo.ijiert.org/index.php/ijiert/article/view/2882