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Data Migration from Grid to Cloud Computing |
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PP: 399-406 |
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Author(s) |
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Wei Chen,
Kuo-Cheng Yin,
Don-Lin Yang,
Ming-Chuan Hung,
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Abstract |
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The advance of information and communication technologies over the last decade has improved the quality of healthcare and
medical services tremendously. Especially, the people living in the countryside or remote areas benefit the most from telemedicine and
emergency services. Our Health Grid is one of the test beds which provide various health-related Web services associated with mobile
devices and physiological data acquisition and analysis instruments. As the number of new applications being developed increases
rapidly, the ever-growing volume of collected data and real-time demand of analysis result have driven the architectural migration
from Grid to Cloud Computing much sooner than we expected. Our challenge is to make the transition cost effective. This paper
describes the data access migration from a relational database to Apache’s HBase - one of the cloud databases. Our contribution is
to minimize the required change of software for data access. Since the SQL commands of the relational database cannot be used in
HBase, various mechanisms for translation and mapping between two sides must be developed. In addition, the services provided by
the Web programs in Health Grid are written in various kinds of Web language while HBase does not support the access authority to
these Web languages. To reduce the effort of modifying the source code for accessing HBase, we propose the use of Web services as
the communication interface between various Web programs and necessary facilities to execute SQL commands in HBase. Although
this is a hard engineering work, our results show that the proposed approaches are feasible and cost effective for the development teams
at academic institutes. With this preliminary study, our next step is to improve our methods to take advantage of the efficient functions
of HBase in processing the large amount of data. |
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