Christine F. Reilly

Outreach Teaching About

Research Group at Skidmore College

Students who participate in my research group work on projects that are part of the Distributed Storage Systems project. During the fall and spring semesters, we have weekly research group meetings where we discuss our progress and learn about topics related to the project. In the summer, I have opportunities for students to work full-time on collaborative research projects.

If you are a Skidmore student who is interested in joining my research group, please visit me during office hours or send me an email.

Recent Publications

Reilly, Christine F and Matthew Clark. Moving recursion out of the RDBMS for transactional graph workloads. 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York City, NY, 2020. IEEE Explore

Reilly, Christine F. Creation of a virtual machine for a database class. The Journal of Computing Sciences in Colleges, 35(8). 2020. ACM Digital Library

Reilly, Christine F. Parallel traversal of graphs stored in RDBMSs. Extended abstract published in the proceedings of the Conference on Innovative Data Systems Research (CIDR). Amsterdam, Netherlands, January 2020. PDF

Reilly, Christine F. and Joan Ann Swanson. A case study in constructivist pedagogy in a computer organizaiton course. Frontiers in Education Conference. Cincinnati, Ohio, USA. October 2019. In press. PDF | Download Materials | IEEE Explore

Reilly, Christine. Storing and querying social graph data on a variety of distributed systems. Extended abstract published in the proceedings of the Conference on Innovative Data Systems Research (CIDR). Pacific Grove, California, USA. January 2019. PDF

Reilly, Christine F. Experience with active learning and formative feedback for a SQL unit. 2018 Frontiers in Education Conference (FIE), San Jose, California, USA. October 2018. PDF | Download Materials | IEEE Explore

Full Publications List

Current Project: Storing and Querying Graph Data in Distributed Systems

Graph structured data is increasingly common in applications that collect and use big data: social networks, data provenance and lineage systems, scientific models and applications, and even in business applications that have traditionally used relational database systems. This research aims to establish a base of knowledge about how to store and query graph data in distributed systems, and how to evaluate various existing graph database systems.