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Design Patterns of HBase Configuration Open Access


Other title
Time-Series Data
Migrating Applications to Cloud
Data Schema Transition
Data Model
Geospatial Data
Type of item
Degree grantor
University of Alberta
Author or creator
Dan, Han
Supervisor and department
Sorenson, Paul (Computing Science)
Stroulia, Eleni (Computing Science)
Examining committee member and department
Wong, Kenny (Computing Science)
Lu, Paul (Computing Science)
Department of Computing Science

Date accepted
Graduation date
Master of Science
Degree level
Cloud-based infrastructures enable applications to collect and analyze massive amounts of data. NoSQL databases endowed with high availability and excellent scalability through their easy deployment on cloud-computing platforms, become a more attractive data-storage solution for these big-data applications. Unfortunately, to date, there is little methodological support for software development on these platforms. In this work, we focus on applications that collect spatial data over time, since, due to the pervasiveness of mobile application clients, this class of applications is among the most popular applications today. To support the development and maintenance of these applications, this thesis develops a set of general guidelines for the design of HBase storage, taking advantage of the special 3D structure of HBase and a specific three-dimensional "schema'' for geospatial applications. These guidelines and schemas have been evaluated with multiple data sets as well as through the migration of an existing geospatial application to the cloud.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
Dan Han and Eleni Stroulia, "A three-dimensional data model in HBase for large time-series dataset analysis," Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA), 2012 IEEE 6th International Workshop on the, pp.47,56, 24-24 Sept. 2012Dan Han and Eleni Stroulia, "HGrid: A Data Model for Large Geospatial Data Sets in HBase,” Cloud Computing (CLOUD) IEEE 6th International Conference on, pp.910,917, June 27-July 2, 2013

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