Optimizing query execution in large differential factbase

• Main Author: Kartikeya, Vedula
• Other Authors: Li Yi
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Computer science and engineering::Data::Data storage representations; Engineering::Computer science and engineering::Information systems::Information interfaces and presentation
• Online Access: https://hdl.handle.net/10356/166115
• Institution: Nanyang Technological University

The aim of this project is to evaluate the effectiveness of a factbase that employs a graph database for storing program facts. Specifically, the project focuses on understanding the nature of relationships within the factbase, assessing the scalability of Neo4j for handling large amounts of data, and testing the performance of complex queries along with their execution times. To assess the system's efficiency, benchmarking will be performed by modifying some of the existing parameters in the benchmark.sh file and comparing the query execution times on new data. Overall, this project aims to contribute to the ongoing effort of improving the efficiency and scalability of program fact storage systems.