The Community for Technology Leaders
Green Image
Issue No. 01 - January-March (2011 vol. 18)
ISSN: 1070-986X
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. S. Candan, R. Yu, J. Kim, M. Nagendra and P. Nagarkar, "RanKloud: Scalable Multimedia Data Processing in Server Clusters," in IEEE MultiMedia, vol. 18, no. , pp. 64-77, 2010.
98 ms
(Ver 3.3 (11022016))