Matthew Malensek
Orcid: 0000-0001-5457-4729
According to our database1,
Matthew Malensek
authored at least 30 papers
between 2011 and 2023.
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Bibliography
2023
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023
2022
Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines.
IEEE Trans. Big Data, 2022
2021
Living on the Edge: Data Transmission, Storage, and Analytics in Continuous Sensing Environments.
ACM Trans. Internet Things, 2021
2020
Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, 2020
Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets.
Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, 2020
2019
Trident: Distributed Storage, Analysis, and Exploration of Multidimensional Phenomena.
IEEE Trans. Big Data, 2019
Scalable network analytics for characterization of outbreak influence in voluminous epidemiology datasets.
Concurr. Comput. Pract. Exp., 2019
2017
IEEE Trans. Knowl. Data Eng., 2017
IEEE Trans. Cloud Comput., 2017
A framework for scalable real-time anomaly detection over voluminous, geospatial data streams.
Concurr. Comput. Pract. Exp., 2017
HERMES: Federating Fog and Cloud Domains to Support Query Evaluations in Continuous Sensing Environments.
IEEE Cloud Comput., 2017
2016
IEEE Trans. Knowl. Data Eng., 2016
Minerva: Proactive Disk Scheduling for QoS in Multitier, Multitenant Cloud Environments.
IEEE Internet Comput., 2016
Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations.
Future Gener. Comput. Syst., 2016
A scalable framework for continuous query evaluations over multidimensional, scientific datasets.
Concurr. Comput. Pract. Exp., 2016
IEEE Cloud Comput., 2016
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 2016), 2016
2015
Autonomous Orchestration of Distributed Discrete Event Simulations in the Presence of Resource Uncertainty.
ACM Trans. Auton. Adapt. Syst., 2015
Alleviation of Disk I/O Contention in Virtualized Settings for Data-Intensive Computing.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015
2014
Comput. Sci. Eng., 2014
Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014
A Framework for Managing Continuous Query Evaluations over Voluminous, Multidimensional Datasets.
Proceedings of the 2014 International Conference on Cloud and Autonomic Computing, 2014
GeoLens: Enabling Interactive Visual Analytics over Large-Scale, Multidimensional Geospatial Datasets.
Proceedings of the 1st IEEE/ACM International Symposium on Big Data Computing, 2014
2013
Exploiting geospatial and chronological characteristics in data streams to enable efficient storage and retrievals.
Future Gener. Comput. Syst., 2013
Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013
Autonomous, failure-resilient orchestration of distributed discrete event simulations.
Proceedings of the ACM Cloud and Autonomic Computing Conference, 2013
Autonomously improving query evaluations over multidimensional data in distributed hash tables.
Proceedings of the ACM Cloud and Autonomic Computing Conference, 2013
2012
Proceedings of the IEEE Fifth International Conference on Utility and Cloud Computing, 2012
2011
Proceedings of the IEEE 4th International Conference on Utility and Cloud Computing, 2011
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011