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Social-Network-Sourced Big Data Analytics
Sept.-Oct. 2013 (vol. 17 no. 5)
pp. 62-69
Wei Tan, IBM T.J. Watson Research Center
M. Brian Blake, University of Miami
Iman Saleh, University of Miami
Schahram Dustdar, Vienna University of Technology
Very large datasets, also known as big data, originate from many domains, including healthcare, energy, weather, business, and social networks. Deriving knowledge is more difficult than ever when we must do it by intricately processing big data. Organizations rely on third-party, commodity computing resources or clouds to gather the computational resources required to manipulate data of this magnitude. Although social networks are perhaps among the largest big data producers, the collaboration that results from leveraging this paradigm could help to solve big data processing challenges. Here, the authors explore using personal ad hoc clouds comprised of individuals in social networks to address such challenges.
Index Terms:
crowdsourcing,big data analytics,cloud computing
Citation:
Wei Tan, M. Brian Blake, Iman Saleh, Schahram Dustdar, "Social-Network-Sourced Big Data Analytics," IEEE Internet Computing, vol. 17, no. 5, pp. 62-69, Sept.-Oct. 2013, doi:10.1109/MIC.2013.100
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