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Guest Editorial - Cloud and Big Data
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
University of Florida, USA.
University of California, Merced, USA.
University of Calgary, Canada.
2014 (English)In: Journal of Communications, ISSN 1796-2021, Vol. 9, no 4, i-iii p.Article in journal, Editorial material (Refereed) Published
Abstract [en]

In the current digital age, massive amounts of data are generated in many different ways and forms. The data may be collected from everything from personal web logs to purposefully placed sensors. Today, companies and researchers use this data for everything from targeted personalized ads based on social data to solving important scientific problems that may help future generations of word citizens. Regardless if measured in monetary profit or other measures, the value of this data has proven valuable for many purposes and has led us into the Big Data era. Due to the large volume of data, Big Data requires significant storage, processing, and bandwidth resources. To date, the Cloud provides the largest collection of disk storage, CPU power, and network bandwidth, which makes it a natural choice for housing the Big Data.

Place, publisher, year, edition, pages
2014. Vol. 9, no 4, i-iii p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-118752DOI: 10.12720/jcm.9.4.i-iiiOAI: oai:DiVA.org:liu-118752DiVA: diva2:816627
Available from: 2015-06-03 Created: 2015-06-03 Last updated: 2015-06-18Bibliographically approved

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Carlsson, Niklas
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Database and information techniquesFaculty of Science & Engineering
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