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Issue No.01 - January-March (2011 vol.18)
pp: 64-77
K. Selcuk Candan , Arizona State University
Jong Kim , Arizona State University
Parth Nagarkar , Arizona State University
Mithila Nagendra , Arizona State University
Renwei Yu , Arizona State University
<p>RanKloud is an efficient, scalable, utility-aware, parallel-processing system for analysis of large media data sets. The Web extra includes a Power Point-based presentation of the RanKloud framework, followed by an example showing the use of RanKloud within a top-K query processing scenario. View the same Web extra online at</p>
Large-scale multimedia processing, cluster architectures, ranked query processing, top-k, nearest neighbor, MapReduce, data and work partitioning, sampling.
K. Selcuk Candan, Jong Kim, Parth Nagarkar, Mithila Nagendra, Renwei Yu, "RanKloud: Scalable Multimedia Data Processing in Server Clusters", IEEE MultiMedia, vol.18, no. 1, pp. 64-77, January-March 2011, doi:10.1109/MMUL.2010.70
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