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Original Articles

Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach

, , &
Pages 168-189 | Received 22 Jul 2015, Accepted 22 May 2016, Published online: 07 Jun 2016

References

  • Alder, J.R. and Hostetler, S.W., 2015. Web based visualization of large climate data sets. Environmental Modelling & Software, 68, 175–180. doi:10.1016/j.envsoft.2015.02.016
  • Anselin, L., 1995. Local indicators of spatial association-LISA. Geographical Analysis, 27 (2), 93–115. doi:10.1111/j.1538-4632.1995.tb00338.x
  • Doulamis, N., et al., 2007. Adjusted fair scheduling and non-linear workload prediction for QoS guarantees in grid computing. Computer Communications, 30 (3), 499–515. doi:10.1016/j.comcom.2005.11.013
  • Doulamis, N.D., et al., 2004. A combined fuzzy-neural network model for non-linear prediction of 3-D rendering workload in grid computing. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 34 (2), 1235–1247. doi:10.1109/TSMCB.2003.822282
  • Frachtenberg, E. and Schwiegelshohn, U., 2007. New challenges of parallel job scheduling. In: 13th International Workshop on Job Scheduling Strategies for Parallel Processing, 17 June 2007 Seattle, WA. Berlin: Springer, 1–23.
  • Henderson, A., Ahrens, J., and Law, C., 2004. The para view guide. Clifton Park, NY: Kitware.
  • James, G.M. and Sugar, C.A., 2003. Finding the number of clusters in a dataset: an information-theoretic approach. Journal of the American Statistical Association, 98 (463), 750–764. doi:10.1198/016214503000000666
  • Johnson, S.C., 1967. Hierarchical clustering schemes. Psychometrika, 32 (3), 241–254. doi:10.1007/BF02289588
  • Jokhio, F., et al., 2013. Prediction-based dynamic resource allocation for video transcoding in cloud computing. In: 21st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 27 February–1 March 2013 Belfast, Ireland. IEEE, 254–261.
  • Keim, D., Qu, H., and Ma, K.-L., 2013. Big-data visualization. IEEE Computer Graphics and Applications, 33 (4), 20–21. doi:10.1109/MCG.2013.54
  • Korkhov, V.V., Moscicki, J.T., and Krzhizhanovskaya, V.V., 2009. Dynamic workload balancing of parallel applications with user-level scheduling on the grid. Future Generation Computer Systems, 25 (1), 28–34. doi:10.1016/j.future.2008.07.001
  • Kousiouris, G., Cucinotta, T., and Varvarigou, T., 2011. The effects of scheduling, workload type and consolidation scenarios on virtual machine performance and their prediction through optimized artificial neural networks. Journal of Systems and Software, 84 (8), 1270–1291. doi:10.1016/j.jss.2011.04.013
  • Li, J., et al., 2003. Parallel netCDF: a high-performance scientific I/O interface. In: 2003 ACM/IEEE conference supercomputing, 15–21 November 2003 Phoenix, AZ. IEEE.
  • Li, J., et al., 2013. Visualizing 3D/4D environmental data using many-core graphics processing units (GPUs) and multi-core central processing units (CPUs). Computers & Geosciences, 59, 78–89. doi:10.1016/j.cageo.2013.04.029
  • Maesschalck, R.D., Jouan-Rimbaud, D., and Massart, D.L., 2000. The mahalanobis distance. Chemometrics & Intelligent Laboratory Systems, 50 (1), 1–18. doi:10.1016/S0169-7439(99)00047-7
  • Maxwell, T. 2012. Exploratory climate data visualization and analysis using DV3D and UVCDAT. In: High performance computing, networking, storage and analysis (SCC), 2012 SC companion, 10–16 November 2012 Salt Lake City, UT. IEEE, 483–487.
  • Mitra, T. and Chiueh, T., 1999. Dynamic 3D graphics workload characterization and the architectural implications. In: Proceedings. 32nd Annual International Symposium on Microarchitecture, 16–18 November 1999 Haifa, Isreal.
  • Mochocki, B.C., et al., 2006. Signature-based workload estimation for mobile 3D graphics. In: Proceedings of the 43rd annual design automation conference, 24–28 July 2006 San Francisco, CA. ACM, 592–597.
  • Nickovic, S., et al., 2001. Model for prediction of desert dust cycle in the atmosphere. Journal Geophysical Research, 106, 18113–18129. doi:10.1029/2000JD900794
  • Salot, P., 2013. A survey of various scheduling algorithm in cloud computing environment. International Journal of Research in Engineering and Technology, 2 (2), 131–135.
  • Smith, W., Foster, I., and Taylor, V., 2004. Predicting application run times with historical information. Journal of Parallel and Distributed Computing, 64 (9), 1007–1016. doi:10.1016/j.jpdc.2004.06.008
  • Unidata. 2016. Integrated Data Viewer (IDV) [online]. Available from: http://www.unidata.ucar.edu/software/idv/ [Accessed 2 June 2016].
  • Wolfe, P.J., 2013. Making sense of big data. Proceedings of the National Academy of Sciences, 110 (45), 18031–18032. doi:10.1073/pnas.1317797110
  • Xiao, Z., Song, W., and Chen, Q., 2013. Dynamic resource allocation using virtual machines for cloud computing environment. IEEE Transactions on Parallel and Distributed Systems, 24 (6), 1107–1117. doi:10.1109/TPDS.2012.283
  • Yang, C., et al., 2011. Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing? International Journal of Digital Earth, 4 (4), 305–329. doi:10.1080/17538947.2011.587547
  • Zhang, H., et al., 2009. Intelligent workload factoring for a hybrid cloud computing model. In: World conference on services-I, 6–10 July 2009 Los Angeles, CA. IEEE, 701–708.
  • Zhang, T., et al., 2016. A cloud-enabled remote visualization tool for time-varying climate data analytics. Environmental Modelling & Software, 75, 513–518. doi:10.1016/j.envsoft.2015.10.033

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