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Masters Dissertations: Computer Science >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1812/201
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| Title: | GRID PORTAL FOR BIOINFORMATICS SEQUENCES ALIGNMENT APPLICATIONS |
| Authors: | Azlan, Arifin |
| Keywords: | GeRaNIUM Grid Portal (GGP) |
| Issue Date: | Jun-2008 |
| Abstract: | The aim of present study is to develop a grid portal for bioinformatic’s sequences
alignment applications. Further enhancement has been done to the campus grid called
GeRaNIUM. A web-based interface called GeRaNIUM Grid Portal (GGP) was
successfully developed and implemented on GeRaNIUM to provide a simple user
friendly interface for grid users with varying IT experience. This Portal allows grid users
to submit jobs in a secure, reliable and scalable manner. However, most of
bioinformatic’s users are hesitant to run a parallel job in a grid environment. In order to
convince users to use parallel computing in grid environment, a comparison study has
been done to compare the performance of process runtime among workstation and cluster
computing in the GeRaNIUM grid environment. The main comparison was based on
process runtime and consistency of results produced. The produced results in this study
have shown that output consistency is achieved while the computing speed is increased in
the grid environment.
Findings of this study indicated that parallel computing could speed up the
runtime of Bioinformatics applications by parallelizing the sequences alignment process
into collective resources. Besides, parallel computing not only accelerated the process but
also produced reliable outputs which might convince users to use parallel computing. The
runtime on different problem sizes showed that parallel computing was more effective on
running problems that had shorter length of sequences rather than processing a longer
length of sequences. The main contribution in this project was the development of Grid
portal which would make it easier for a GeRaNIUM user to exploit grid applications
anytime and anywhere. |
| Description: | Master of Information Technology |
| URI: | http://dspace.fsktm.um.edu.my/handle/1812/201 |
| Appears in Collections: | Masters Dissertations: Computer Science
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