| Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations W Budgaga, M Malensek, S Pallickara, N Harvey, FJ Breidt, S Pallickara Future Generation Computer Systems 56, 360-374, 2016 | 67 | 2016 |
| An introduction to parallel programming P Pacheco, M Malensek Morgan Kaufmann, 2021 | 66 | 2021 |
| Galileo: A framework for distributed storage of high-throughput data streams M Malensek, SL Pallickara, S Pallickara 2011 Fourth IEEE International Conference on Utility and Cloud Computing, 17-24, 2011 | 46 | 2011 |
| Exploiting geospatial and chronological characteristics in data streams to enable efficient storage and retrievals M Malensek, SL Pallickara, S Pallickara Future Generation Computer Systems 29 (4), 1049-1061, 2013 | 45 | 2013 |
| Analytic queries over geospatial time-series data using distributed hash tables M Malensek, S Pallickara, S Pallickara IEEE Transactions on Knowledge and Data Engineering 28 (6), 1408-1422, 2016 | 40 | 2016 |
| Polygon-based query evaluation over geospatial data using distributed hash tables M Malensek, S Pallickara, S Pallickara 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing …, 2013 | 40 | 2013 |
| Evaluating geospatial geometry and proximity queries using distributed hash tables M Malensek, S Pallickara, S Pallickara Computing in Science & Engineering 16 (4), 53-61, 2014 | 39* | 2014 |
| Fast, ad hoc query evaluations over multidimensional geospatial datasets M Malensek, S Pallickara, S Pallickara IEEE Transactions on Cloud Computing 5 (1), 28-42, 2015 | 38 | 2015 |
| Synopsis: A distributed sketch over voluminous spatiotemporal observational streams T Buddhika, M Malensek, SL Pallickara, S Pallickara IEEE Transactions on Knowledge and Data Engineering 29 (11), 2552-2566, 2017 | 37 | 2017 |
| Expressive query support for multidimensional data in distributed hash tables M Malensek, SL Pallickara, S Pallickara 2012 IEEE Fifth International Conference on Utility and Cloud Computing, 31-38, 2012 | 30 | 2012 |
| A framework for scalable real‐time anomaly detection over voluminous, geospatial data streams W Budgaga, M Malensek, S Lee Pallickara, S Pallickara Concurrency and Computation: Practice and Experience 29 (12), e4106, 2017 | 26 | 2017 |
| Hermes: Federating fog and cloud domains to support query evaluations in continuous sensing environments M Malensek, SL Pallickara, S Pallickara IEEE Cloud Computing 4 (2), 54-62, 2017 | 26 | 2017 |
| Minerva: proactive disk scheduling for QoS in multitier, multitenant cloud environments M Malensek, S Pallickara, S Pallickara IEEE Internet Computing 20 (3), 19-27, 2016 | 16 | 2016 |
| Using distributed analytics to enable real-time exploration of discrete event simulations M Malensek, W Budgaga, S Pallickara, N Harvey, FJ Breidt, S Pallickara 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, 49-58, 2014 | 15 | 2014 |
| Parallel hardware and parallel software PS Pacheco An Introduction to Parallel Programming, 15-81, 2011 | 15 | 2011 |
| Autonomous cloud federation for high-throughput queries over voluminous datasets M Malensek, S Pallickara, S Pallickara IEEE Cloud Computing 3 (3), 40-49, 2016 | 14 | 2016 |
| Living on the edge: Data transmission, storage, and analytics in continuous sensing environments T Buddhika, M Malensek, S Pallickara, SL Pallickara ACM Transactions on Internet of Things 2 (3), 1-31, 2021 | 12 | 2021 |
| Network analysis for identifying and characterizing disease outbreak influence from voluminous epidemiology data N Shah, H Shah, M Malensek, SL Pallickara, S Pallickara 2016 IEEE International Conference on Big Data (Big Data), 1222-1231, 2016 | 12 | 2016 |
| Autonomously improving query evaluations over multidimensional data in distributed hash tables M Malensek, S Pallickara, S Pallickara Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference, 1-10, 2013 | 12 | 2013 |
| Alleviation of disk I/O contention in virtualized settings for data-intensive computing M Malensek, SL Pallickara, S Pallickara 2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC), 1-10, 2015 | 11 | 2015 |
Shrideep PallickaraProfessor of Computer Science, Colorado State UniversityPreverjeni e-poštni naslov na cs.colostate.edu