A grid-based pseudo-cache solution for MISD biomedical problems with high confidentiality and efficiency.
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.
Department of Computer and Information Science, Purdue University School of Science, Indiana University-Purdue University, 723 W. Michigan Street SL 280, Indianapolis, IN 46202, USA. ydai@cs.iupui.edu
Yuan-Shun
YS
Dai
Mathew
M
Palakal
Shielly
S
Hartanto
Xiaolong
X
Wang
Yanming
Y
Guo
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003201:Computers; D003628:Database Management Systems; D020869:Gene Expression Profiling; D016247:Information Storage and Retrieval; D015233:Models, Statistical; D008962:Models, Theoretical; D011506:Proteins / Q000737:chemistry; D015203:Reproducibility of Results; D012984:Software; D013997:Time Factors
D011506:Proteins