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Publications
[6] Daniel Rammer, Thilina Buddhika, Matthew Malensek, Shrideep Pallickara, and Sangmi Lee Pallickara. Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines. (To appear) IEEE Transactions on Big Data. 2020.

[5] Kevin Bruhwiler and Shrideep Pallickara. Aperture: Fast Visualizations Over Spatiotemporal Datasets. Proceedings of the IEEE/ACM Conference on Utility and Cloud Computing. Auckland, New Zealand. pp 31-40. 2019.

[4] Daniel Rammer, Sangmi Lee Pallickara, and Shrideep Pallickara. ATLAS: A Distributed File System for Spatiotemporal Data. Proceedings of the IEEE/ACM Conference on Utility and Cloud Computing. Auckland, New Zealand. pp 11-20. 2019.

[3] Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, and Sangmi Lee Pallickara. STASH: Fast Hierarchical Aggregation Queries for Effective Visual Spatiotemporal Explorations. IEEE International Conference on Cluster Computing (CLUSTER). Albuquerque, NM, USA. pp 1-11. 2019.
** Best Paper Award

[2] Matthew Malensek*, Walid Budgaga*, Ryan Stern*, Shrideep Pallickara, and Sangmi Lee Pallickara. Trident: Distributed Storage, Analysis, and Exploration of Multidimensional Phenomena. IEEE Transactions on Big Data. Vol. 5 (2) pp 252 265. 2019.

[1] Thilina Buddhika*, Matthew Malensek*, Sangmi Lee Pallickara, and Shrideep Pallickara. Synopsis: A Distributed Sketch over Voluminous Spatiotemporal Observational Streams. IEEE Transactions on Knowledge and Data Engineering. Vol. 29(11) pp 2552-2566. 2017.

 

 

 












 


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