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| [22] |
Wes Lloyd, Shrideep Pallickara, Olaf David, Mazdak Arabi, Tyler Wible, Jeffrey Ditty, and Ken Rojas. Demystifying the Clouds: Harnessing Resource Utilization Models for Cost Effective Infrastructure Alternatives. (To appear) IEEE Transactions on Cloud Computing. 2016.
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| [21] |
Matthew Malensek, Sangmi Pallickara, and Shrideep Pallickara. Fast, Ad Hoc Query Evaluations over Multidimensional Geospatial Datasets. (To appear) IEEE Transactions on Cloud Computing. 2016.
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| [20] |
Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Analytic Queries over Geospatial Time-Series Data using Distributed Hash Tables. IEEE Transactions on Knowledge and Data Engineering. Vol 28(6) pp 1408-1422. 2016.
|
| [19] |
Cameron Tolooee, Matthew Malensek, and Sangmi Pallickara. A Scalable Framework for Continuous Query Evaluations over Multidimensional, Scientific Datasets. Concurrency and Computation: Practice and Experience. Vol 28(8) pp. 2546-2563. 2016.
|
| [18] |
Cameron Tolooee, Sangmi Lee Pallickara and Asa Ben-Hur. Mendel: A Distributed Storage Framework for Similarity Searching over Sequencing Data. Proceedings of the 30th IEEE International Parallel & Distributed Processing Symposium. pp 790-799. Chicago, USA. 2016.
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| [17] |
Thilina Buddhika and Shrideep Pallickara. Neptune: Real Time Stream Processing for Internet of Things and Sensing Environments. Proceedings of the 30th IEEE International Parallel & Distributed Processing Symposium. pp 1143-1152. Chicago, USA. 2016.
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| [16] |
Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Minerva: Proactive Disk Scheduling for QoS in Multi-Tier, Multi-Tenant Cloud Environments. IEEE Internet Computing. Vol 20 (3). 2016.
|
| [15] |
Matthew Malensek, Sangmi Pallickara, and Shrideep Pallickara. Autonomous Data Management and Federation to Support High-throughput Query Evaluations over Voluminous Datasets. Special Issue on Autonomic Clouds. IEEE Cloud Computing Vol. 3 (3). 2016.
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| [14] |
Walid Budgaga, Matthew Malensek, Sangmi Pallickara, Neil Harvey, Jay Breidt, and Shrideep Pallickara. Predictive Analytics Using Statistical, Learning, and Ensemble Methods to Support Real-Time Exploration of Discrete Event Simulations. Future Generation Computer Systems. Elsevier. Volume 56, March, Pages 360–374. 2016.
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| [13] |
Zhiquan Sui, Matthew Malensek, Neil Harvey, and Shrideep Pallickara. Autonomous Orchestration of Distributed Discrete Event Simulations in the Presence of Resource Uncertainty. ACM Transactions on Autonomous and Adaptive Systems. Vol. 10(3): 18. 2015.
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| [11] |
Kathleen Ericson, Shrideep Pallickara, and Charles Anderson. Failure-Resilient Real-Time Processing of Health Streams. Concurrency and Computation: Practice & Experience. Vol. 27(7) pp 1695–1717. John-Wiley.
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| [10] |
Jared Koontz, Matthew Malensek, and Sangmi Lee Pallickara. GeoLens: Enabling Interactive Visual Analytics over Large-scale, Multidimensional Geospatial Datasets. Proceedings of the IEEE/ACM Symposium on Big Data Computing. London, UK. 2014.
**Best Paper Award
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| [9] |
Matthew Malensek, Walid Budgaga, Sangmi Pallickara, Neil Harvey, Jay Bredit, and Shrideep Pallickara. Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations. Proceedings of the IEEE/ACM Conference on Utility and Cloud Computing. London, UK. 2014.
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| [8] |
Zhiquan Sui, Neil Harvey, and Shrideep Pallickara. Learning Based Distributed Orchestration of Stochastic Discrete Event Simulations. Proceedings of the IEEE/ACM Conference on Utility and Cloud Computing. London, UK. 2014.
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| [7] |
Matthew Malensek, Sangmi Pallickara, and Shrideep Pallickara. Geometry and Proximity Constrained Query Evaluations over Large Geospatial Datasets Using Distributed Hash Tables. IEEE Computing in Science and Engineering (CiSE). Special Issue on Extreme Data. Vol. 16(4) pp 53-60. 2014.
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| [6] |
Zhiquan Sui, Neil Harvey and Shrideep Pallickara. On the Distributed Orchestration of Stochastic Discrete Event Simulations. Concurrency and Computation: Practice & Experience. John-Wiley. Vol. 26(11), pp 1889–1907. 2014.
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| [5] |
Cameron Tolooee, Matthew Malensek, and Sangmi Pallickara. A Framework for Managing Continuous Query Evaluations over Voluminous, Multidimensional Datasets. Proceedings of the IEEE Cloud and Autonomic Computing Conference. London, UK. 2014.
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| [4] |
Matthew Malensek, Sangmi Pallickara and Shrideep Pallickara. Polygon-Based Query Evaluation over Geospatial Data Using Distributed Hash Tables. Proceedings of the IEEE/ACM Conference on Utility and Cloud Computing. Dresden, Germany. 2013.
|
| [3] |
Matthew Malensek, Sangmi Pallickara and Shrideep Pallickara. Autonomously Improving Query Evaluations over Multidimensional Data in Distributed Hash Tables. Proceedings of the ACM Cloud and Autonomic Computing Conference. Miami, USA. 2013.
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| [2] |
Matthew Malensek, Sangmi Pallickara, and Shrideep Pallickara. Exploiting Geospatial and Chronological Characteristics in Data Streams to Enable Efficient Storage and Retrievals. Future Generation Computer Systems. Vol 29(4): 1049-1061. 2013. Elsevier.
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| [1] |
Matthew Malensek, Sangmi Pallickara, and Shrideep Pallickara. Expressive Query Support for Multidimensional Data in Distributed Hash Tables. Proceedings of the IEEE/ACM Conference on Utility and Cloud Computing. pp 31-38. Chicago, USA. 2012.
**Best Paper Award
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