The Big Data Analysis for measuring popularity in the Mobile Cloud
The Big Data Analysis for measuring popularity in the Mobile Cloud
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.
Big Data Analysis, Mobile Cloud, Organizational Sustainability Modeling
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
4 April 2014
Chang, Victor
a7c75287-b649-4a63-a26c-6af6f26525a4
Chang, Victor
(2014)
The Big Data Analysis for measuring popularity in the Mobile Cloud.
The first international workshop on Emerging Software as a Service and Analytics, ESaaSA 2014, Barcelona, Spain.
03 - 05 Apr 2014.
Record type:
Conference or Workshop Item
(Paper)
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.
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mobile_cloud_submission.pdf
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Published date: 4 April 2014
Venue - Dates:
The first international workshop on Emerging Software as a Service and Analytics, ESaaSA 2014, Barcelona, Spain, 2014-04-03 - 2014-04-05
Keywords:
Big Data Analysis, Mobile Cloud, Organizational Sustainability Modeling
Organisations:
Electronics & Computer Science, Electronic & Software Systems
Identifiers
Local EPrints ID: 362531
URI: http://eprints.soton.ac.uk/id/eprint/362531
PURE UUID: 76bac4e5-cb83-4233-90d9-b81fab670c28
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Date deposited: 25 Feb 2014 13:43
Last modified: 14 Mar 2024 16:09
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Contributors
Author:
Victor Chang
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