Performance Optimization for Querying Social Network Data

Provided by: Creative Commons
Topic: Data Management
Format: PDF
In this paper, the authors report about benchmark experiments and results from optimizing database connectivity for querying social networking data from Apache Shindig in a Neo4j database. They built on their experiments from and tried to improve performance of the current RESTful http connection in comparison to JDBC in order to fully utilize performance benefits of the graph database compared to relational database management systems. They implemented a database driver based on WebSockets. They found that BSON is a better data transfer format than JSON and compression increases performance in some settings while decreasing it in others.

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