A Grid-Based Pseudo-Cache solution for MISD biomedical problems with high confidentiality and efficiency
by Yuan-Shun Dai, Mathew Palakal, Shielly Hartanto, Xiaolong Wang, Yanming Guo
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 2, No. 3, 2006

Abstract: The complexity of most biomedical/bioinformatics problems requires efficient solutions using collaborative/parallel computing. One promising solution is to implement Grid computing, as an emerging new field called BioGrid. However, one of the most stringent requirements in such a Grid-based solution is data privacy. This paper presents a novel solution to provide the Confidentiality when using the Grid to efficiently solve MISD biomedical problems. It is called the Grid-Based Pseudo-Cache (GBPC) solution. It is proved to have equal or better performance than traditional MIMD solution. Via case studies our theories are validated in practice, and the data dependence is also addressed.

Online publication date: Mon, 07-Aug-2006

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bioinformatics Research and Applications (IJBRA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com