The Big Data Analysis for Measuring Popularity in the Mobile Cloud

Victor Chang

Abstract

This paper presents the Big Data analysis for measuring popularity in the Mobile Cloud, which is an emerging area in the Cloud and Big Data Computing. Organizational Sustainability Modeling (OSM) is the proposed method used in this research. The twelve-month of German consumer data is used for the analysis to investigate the return and risk status associated with the popularity in the Mobile Cloud services. Results show that there is a decline in the usage due to the economic downturn and competitions in the market. Key outputs have been explained and they confirm that all analysis and interpretations fulfil the criteria for OSM. The use of statistical and visualization method proposed by OSM can expose unexploited data and allows the stakeholders to understand the status of return and risk of their Cloud strategies easier than the use of other data analysis.

References

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Paper Citation


in Harvard Style

Chang V. (2014). The Big Data Analysis for Measuring Popularity in the Mobile Cloud . In Proceedings of the International Workshop on Emerging Software as a Service and Analytics - Volume 1: ESaaSA, (CLOSER 2014) ISBN 978-989-758-026-0, pages 21-29. DOI: 10.5220/0004979100210029


in Bibtex Style

@conference{esaasa14,
author={Victor Chang},
title={The Big Data Analysis for Measuring Popularity in the Mobile Cloud},
booktitle={Proceedings of the International Workshop on Emerging Software as a Service and Analytics - Volume 1: ESaaSA, (CLOSER 2014)},
year={2014},
pages={21-29},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004979100210029},
isbn={978-989-758-026-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Workshop on Emerging Software as a Service and Analytics - Volume 1: ESaaSA, (CLOSER 2014)
TI - The Big Data Analysis for Measuring Popularity in the Mobile Cloud
SN - 978-989-758-026-0
AU - Chang V.
PY - 2014
SP - 21
EP - 29
DO - 10.5220/0004979100210029