Matthew Malensek

Publications

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Journal Articles

J11 Walid Budgaga, Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. A Framework for Scalable Real-Time Anomaly Detection over Voluminous, Geospatial Data Streams. Concurrency and Computation: Practice and Experience (To Appear).
J10 Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Fast, Ad Hoc Query Evaluations over Multidimensional Geospatial Datasets. IEEE Transactions on Cloud Computing (To Appear). DOI: 10.1109/TCC.2015.2398437
J9 Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Hermes: Federating Fog and Cloud Nodes to Support Query Evaluations in Continuous Sensing Environments. IEEE Cloud Computing (To Appear).
J8 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 28.6 (Jun 2016), pp. 1408-1422. DOI: 10.1109/TKDE.2016.2520475
J7 Cameron Tolooee, Matthew Malensek, and Sangmi Lee Pallickara. A Scalable Framework for Continuous Query Evaluations over Multidimensional, Scientific Datasets. Concurrency and Computation: Practice and Experience 28.8 (Jun 2016), pp. 2546-2563. DOI: 10.1002/cpe.3651
J6 Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Autonomous Cloud Federation for High-Throughput Queries over Voluminous Datasets. IEEE Cloud Computing 3.3 (May 2016), pp. 40-49. DOI: 10.1109/MCC.2016.65
J5 Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Minerva: Proactive Disk Scheduling for QoS in Multitier, Multitenant Cloud Environments. IEEE Internet Computing 20.3 (May 2016), pp. 19-27. DOI: 10.1109/MIC.2016.48
J4 Walid Budgaga, Matthew Malensek, Sangmi Pallickara, Neil Harvey, F. 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 56.C (Mar 2016), pp. 360-374. DOI: 10.1016/j.future.2015.06.013
J3 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 (TAAS) 10.3 (Sep 2015), pp. 18:1-18:20. DOI: 10.1145/2746345
J2 Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Evaluating Geospatial Geometry and Proximity Queries Using Distributed Hash Tables. IEEE Computing in Science Engineering (CiSE) 16.4 (Jul 2014), pp. 53-61. DOI: 10.1109/MCSE.2014.48
J1 Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Exploiting Geospatial and Chronological Characteristics in Data Streams to Enable Efficient Storage and Retrievals. Future Generation Computer Systems 29.4 (Jun 2013), pp. 1049-1061. DOI: 10.1016/j.future.2012.05.024

Book Chapters

B1 Sangmi Lee Pallickara, Matthew Malensek, and Shrideep Pallickara. On the Processing of Extreme Scale Datasets in the Geosciences. Handbook of Data Intensive Computing. New York, NY, 2011, pp. 521-537. DOI: 10.1007/978-1-4614-1415-5_20

Conference Proceedings

C11 Naman Shah, Harshil Shah, Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Network Analysis for Identifying and Characterizing Disease Outbreak Influence from Voluminous Epidemiology Data. Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData). Washington, D.C., USA, Dec 2016, (To Appear). 18.68% Acceptance Rate.
C10 Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Alleviation of Disk I/O Contention in Virtualized Settings for Data-Intensive Computing. Proceedings of the 2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC). Limassol, Cyprus, Dec 2015, pp. 1-10. DOI: 10.1109/BDC.2015.32 16% Acceptance Rate.
C9 Jared Koontz, Matthew Malensek, and Sangmi Lee Pallickara. GeoLens: Enabling Interactive Visual Analytics over Large-Scale, Multidimensional Geospatial Datasets. Proceedings of the 2014 IEEE/ACM International Symposium on Big Data Computing (BDC). London, UK, Dec 2014, pp. 35-44. DOI: 10.1109/BDC.2014.12 22% Acceptance Rate. Best Paper Award.
C8 Matthew Malensek, Walid Budgaga, Sangmi Pallickara, Neil Harvey, F. Jay Breidt, and Shrideep Pallickara. Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations. Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing. London, UK, Dec 2014, pp. 49-58. DOI: 10.1109/UCC.2014.13 19% Acceptance Rate.
C7 Cameron Tolooee, Matthew Malensek, and Sangmi Lee Pallickara. A Framework for Managing Continuous Query Evaluations over Voluminous, Multidimensional Datasets. Proceedings of the 2014 IEEE International Cloud and Autonomic Computing Conference (ICCAC). London, UK, Sep 2014, pp. 73-82. DOI: 10.1109/ICCAC.2014.25
C6 Matthew Malensek, Sangmi Pallickara, and Shrideep Pallickara. Polygon-Based Query Evaluation over Geospatial Data Using Distributed Hash Tables. Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing (UCC). Dresden, Germany, Dec 2013, pp. 219-226. DOI: 10.1109/UCC.2013.46 24% Acceptance Rate.
C5 Matthew Malensek, Sangmi Pallickara, and Shrideep Pallickara. Autonomously Improving Query Evaluations over Multidimensional Data in Distributed Hash Tables. Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference (CAC). Miami, Florida, USA, Sep 2013, pp. 15:1-15:10. DOI: 10.1145/2494621.2494638 35% Acceptance Rate.
C4 Matthew Malensek, Zhiquan Sui, Neil Harvey, and Shrideep Pallickara. Autonomous, Failure-resilient Orchestration of Distributed Discrete Event Simulations. Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference (CAC). Miami, Florida, USA, Sep 2013, pp. 3:1-3:10. DOI: 10.1145/2494621.2494625 35% Acceptance Rate.
C3 Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Expressive Query Support for Multidimensional Data in Distributed Hash Tables. Proceedings of the 2012 IEEE/ACM 5th International Conference on Utility and Cloud Computing (UCC). Chicago, Illinois, USA, Nov 2012, pp. 31-38. DOI: 10.1109/UCC.2012.41 27% Acceptance Rate. Best Paper Award.
C2 Matthew Malensek, Sangmi Lee Pallickara, and Shrideep Pallickara. Galileo: A Framework for Distributed Storage of High-Throughput Data Streams. Proceedings of the 2011 IEEE/ACM 4th International Conference on Utility and Cloud Computing (UCC). Melbourne, Australia, Dec 2011, pp. 17-24. DOI: 10.1109/UCC.2011.13 26.7% Acceptance Rate.
C1 Sangmi Lee Pallickara, Matthew Malensek, and Shrideep Pallickara. Enabling access to timeseries, geospatial data for on-demand visualization. IEEE Symposium on Large Data Analysis and Visualization, (LDAV). Providence, Rhode Island, USA, Oct 2011, pp. 141-142. DOI: 10.1109/LDAV.2011.6092339