Design and Evaluation of Lifelog Mashup Platform with NoSQL Database
Authors: 
Kohei Takahashi, Shinsuke Matsumoto, Sachio Saiki, and Masahide NakamuraAuthors Info & Claims
Kohei Takahashi, Shinsuke Matsumoto, Sachio Saiki, and Masahide NakamuraAuthors Info & ClaimsDecember 2013
Pages 133 - 139
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.
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Index Terms
- Design and Evaluation of Lifelog Mashup Platform with NoSQL Database
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Information
Published In
December 2013
753 pages
ISBN:9781450321136
DOI:10.1145/2539150
- Conference Chairs:
- Edger Weippl,
- Maria Indrawan-Santiago,
- Matthias Steinbauer,
- Gabriele Kotsis,
- Ismail Khalil
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- @WAS: International Organization of Information Integration and Web-based Applications and Services
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 02 December 2013
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- Refereed limited
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IIWAS '13
IIWAS '13: The 15th International Conference on Information Integration and Web-based Applications & Services
December 2 - 4, 2013
Vienna, Austria
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