NEPTUNE: Real Time Stream Processing for Internet of Things and Sensing Environments. - Thilina Buddhika; Shrideep Pallickara (IPDPS, 2016)

Synopsis: A Distributed Sketch over Voluminous Spatiotemporal Observational Streams. - Thilina Buddhika; Matthew Malensek; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Trans. Knowl. Data Eng., 2017)

Online Scheduling and Interference Alleviation for Low-Latency, High-Throughput Processing of Data Streams. - Thilina Buddhika; Ryan Stern; Kira Lindburg; Kathleen Ericson; Shrideep Pallickara (IEEE Trans. Parallel Distributed Syst., 2017)

Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets. - Daniel Rammer; Walid Budgaga; Thilina Buddhika; Shrideep Pallickara; Sangmi Lee Pallickara (IEEE BigData, 2018)

Secure Transaction Processing. - Indrakshi Ray; Thilina Buddhika (Encyclopedia of Database Systems (2nd ed.), 2018)

Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets. - Kevin Bruhwiler; Thilina Buddhika; Shrideep Pallickara; Sangmi Lee Pallickara (BDCAT, 2020)

Living on the Edge: Data Transmission, Storage, and Analytics in Continuous Sensing Environments. - Thilina Buddhika; Matthew Malensek; Shrideep Pallickara; Sangmi Lee Pallickara (ACM Trans. Internet Things, 2021)

Pebbles: Leveraging Sketches for Processing Voluminous, High Velocity Data Streams. - Thilina Buddhika; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Trans. Parallel Distributed Syst., 2021)

Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines. - Daniel Rammer; Thilina Buddhika; Matthew Malensek; Shrideep Pallickara; Sangmi Lee Pallickara (IEEE Trans. Big Data, 2022)