Abstract
This paper presents a novel Grid computing system for drug discovery and design. Utilizing the idle resources donated by the nodes that scatter over the Internet, it can process data-intensive biologic applications. With P2P technologies, the hybrid resource management architecture can avoid some problems, which are inevitable in the traditional master-slave model. Experimental results show the good performance of the proposed system. © Springer-Verlag 2004.
Cite
CITATION STYLE
Chen, S., Zhang, W., Fanyuan, M., Shen, J., & Li, M. (2004). The Design of a Grid Computing System for Drug Discovery and Design. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3251, 799–802. https://doi.org/10.1007/978-3-540-30208-7_108
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