Abstract
BLAST is one of the most popular computational biology tools. The execution cost of BLAST is highly dependent on database sizes, which have considerably increased following all recent advances in sequencing methods. The evaluation of BLAST in distributed and parallel environments like PC clusters and Grids has been largely investigated in order to obtain better performances. This work evaluates a replicated allocation of the (sequences) database, where each copy is also physically fragmented. We investigate two dynamic workload balancing methods that focus on our database allocation strategy. Preliminary practical results show that we achieve both a balanced workload and very good performances. We briefly discuss ideas that would make our approach feasible for Grid computational environments. © 2008 Springer Berlin Heidelberg.
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CITATION STYLE
De Sousa, D. X., Lifschitz, S., & Valduriez, P. (2008). BLAST distributed execution on partitioned databases with primary fragments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5336 LNCS, pp. 544–554). https://doi.org/10.1007/978-3-540-92859-1_48
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