Author : K Harshitha 1
Date of Publication :7th March 2017
Abstract: A large scale research initiative aimed at generating innovations around handheld devices based research as well as community based evaluation of related mobile applications. Big data refers to huge amount of digital information collected from multiple and different sources. Since a key point of big data is to access data from multiple and different domains, security will play a very important role in big data research and technology. Due to increase the challenges in mobile data or mobile data challenge (MDC), Big data is required for analysis and curation of mobile data. The rapid expansion of mobile technology has introduced a versatile global infrastructure that internally generate vast amount of data like user identification, location, device name and externally generate data related to mobile apps like number of mobile applications, number of downloaded applications, number of failure applications, number of popular applications etc. This paper presents a survey of the mobile applications (apps) in the context of Big data.
Reference :
-
- Anderson E.Cristian, “Real Time Data from Big Time Fun: Harnesing The Power Of Mobile Technology and Social media for better species Management”, IEEE conference, 2012, pp. 1-5.
- http://www.computerworld.com/s/article/9236375 / Facebook_revenue_jumps_40_percent_in_Q4_as_ mobile overtakes Web use
- Devashish Goswami ,”Mobile Computing”, International Journal of Advanced Research in Computer Science and Software Engineering , Volume 3, Issue 9, September 2013,pp.846-855..
- “Sizing “Mobile +Social” Big Data States”,[Online] Available: http://practicalanalytics.co/2012/10/22/sizingmobile social big data stats.
- “Practical Examples of Big Data Use”.[Online]Available:http://www.centrodeinnov acionbbva.com/en/news/practical-examples-bigdatause
- “2015 Enterprise Mobile Application Report”, [Online] Available: http://forms.kony.com/rs/656WNA414/images/Kon y Enterprise Mobile AppReport.pdf
- “Mobile App Marketing Insights: How Consumers Really Find and Use your app”,[Online]Available:https://think.storage.google apis.com/docs/mobile app marketing-insights.pdf
- “Big Data Vendor Revenue and Market Forecast 2013-2017” [online] available: http://wikibon.org/wiki/v/Big_Data_Vendor_Reve nue and Market Forecast 2013-2017.
- Bessis N., Sotiriadis, S., Xhafa, F., Pop,F.,Cristea,V.,”Meta scheduling issues in interoperable HPCs, grids and clouds”, Twenty sixth IEEE conference of Advance Information Networking and Applications(AINA)Grid Services, 2012,pp.874-883.
- Couronne T., Olteanu, A.-M., Smoreda,Z Thomas,” Urban Mobility: Velocity and Uncertainty in Mobile Phone Data”, IEEE third International Conference on Privacy, Security, Risk and Trust, 2011pp.1425-1430.