Design and Evaluation of Lifelog Mashup Platform with NoSQL Database

Authors:
Kohei Takahashi;Shinsuke Matsumoto;Sachio Saiki;Masahide Nakamura
Affiliations:
Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, Hyogo 657-8501, Japan;Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, Hyogo 657-8501, Japan;Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, Hyogo 657-8501, Japan;Graduate School of System Informatics, Kobe University 1-1 Rokkodai-cho, Nada-ku, Kobe, Hyogo 657-8501, Japan
Venue:
Proceedings of International Conference on Information Integration and Web-based Applications & Services
Year:
2013

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Abstract

To support mashup of heterogeneous lifelog services, we have previously implemented the lifelog common data model (LLCDM). The previous LLCDM was implemented with MySQL, where various types of application-specific data (e.g., numeric values, text, JSON or XML) were all stored in a column in a schemaless text format. Any query with application-specific data had to be managed by individual applications. It had also a scalability issue as the data size grew. To cope with the limitations, this paper re-engineers the LLCDM with MongoDB NoSQL database. We extensively use the document-oriented semi-strucuted data schema of MongoDB for representing the column. We also re-implement Web-API for the LLCDM which allows queries with both application-specific and neutral attributes. We evaluate performance and complexity of the new system through application development with real sensor data.