Database and Data Mining Lab
Department of Computer Science and Engineering
University of California, Riverside
CA, 92521
Research Projects
Flexible Distributed Join Framework (2020 - Present)
Our goal is to allow developers to implement new join algorithms without going through a laborious process. The key idea is identifying the common logic across a wide variety of distributed join techniques and injecting them into the code base of our system while externalizing the logic related to specific join operations.
Hierarchy-Aware Filter For Empty-Resulting Queries in Interactive Exploration (2019 - 2020)
We utilize the hierarchical nature of the data to construct a configurable and probabilistic filter to avoid empty-resulting queries at the client-side with a minimal size and processing overhead during data exploration. HQ-Filter is applied to two existing data exploration systems, UCR-Star (Beast) and Cloudberry (Apache AsterixDB). In both cases, it can successfully eliminate hundreds of queries per user which results in up-to %66 increase in server capacity by providing up to 15x speedup for average response time and up to %90 decrease in the server workload.
Publications
- Akil Sevim, Mehnaz Tabassum Mahin, Tin Vu, Ian Maxon, Ahmed Eldawy, Michael Carey, and Vassilis Tsotras. ”A briefintroduction to geospatial big data analytics with apache AsterixDB”. 3rd ACM SIGSPATIAL International Workshop onAPIs and Libraries for Geospatial Data Science (SpatialAPI ’21). PDF
- Ahmed Eldawy, Vagelis Hristidis, Saheli Ghosh, Majid Saeedan, Akil Sevim, A.B. Siddique, Samriddhi Singla, GaneshSivaram, Tin Vu, and Yaming Zhang. ”Beast: Scalable Exploratory Analytics on Spatio-temporal Data”. 30th ACMInternational Conference on Information & Knowledge Management (CIKM ’21). PDF
- Akil Sevim and Ahmed Eldawy. ”HQ-Filter: Hierarchy-Aware Filter For Empty-Resulting Queries in Interactive Exploration”. 22nd IEEE International Conference on Mobile Data Management (MDM ’21). Best Student Paper Runner-up Award. PDF
- Saheli Ghosh, Akil Sevim and Ahmed Eldawy. ”A Demonstration of Interactive Exploration of Big Geospatial Data onUCR-Star”. 28th International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’20). Best Demo Award. PDF
Presentations
Geospatial data management and analysis with Apache AsterixDB
A Brief Introduction to Geospatial Big Data Analytics with Apache AsterixDB
HQ-Filter: Hierarchy-Aware Filter For Empty-Resulting Queries in Interactive Exploration
Teaching
- CS 226 - Big-Data Management, Teaching Assistant, Fall 2020
- CS 167 - Introduction to Big-Data Management, Teaching Assistant, Spring 2020
- CS 005 - Introduction to Computer Programming, Teaching Assistant, Winter 2020
