NDLI: Performance Evaluations of Document-Oriented Databases Using GPU and Cache Structure

Content Provider	IEEE Xplore Digital Library
Author	Morishima, S. Matsutani, H.
Copyright Year	2015
Description	Author affiliation: Dept. of ICS, Keio Univ., Yokohama, Japan (Morishima, S.; Matsutani, H.)
Abstract	Document-oriented databases are popular databases, in which users can store their documents in a schema-less manner and perform search queries for them. They have been widely used for web applications that process a large collection of documents because of their high scalability and rich functions. One of major functions of document-oriented databases is a string search that requires a high computational cost for a large collection of documents, because its computational complexity increases as the documents increase. In document-oriented databases, a database index is typically used for improving text search queries. However, the index cannot always be used for text search queries, such as a regular expression match search. To accelerate such queries by using GPUs, in this paper, we propose a GPU-friendly cache structure, called DDB Cache (Document-oriented DataBase Cache), which is extracted from a document-oriented database. By using GPU and DDB Cache, we can improve a performance of text search queries without relying on the database indexes. We implemented DDB Cache for MongoDB. Experimental results using GeForce GTX 980 show that our approach improves the performance of regular expression search queries by up to 101x compared to the original document-oriented database.
Starting Page	108
Ending Page	115
File Size	511495
Page Count	8
File Format	PDF
e-ISBN	9781467379526
DOI	10.1109/Trustcom.2015.619
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-20
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Document-oriented database Structured storage Graphics processing units GPUs Indexes Arrays Acceleration Text processing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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