NFU-Enabled FASTA: moving bioinformatics applications onto wide area networksErich J Baker,#1 Guan N Lin,#1,2 Huadong Liu,3 and Ravi Kosuri11Department of Computer Science, School of Engineering and Computer Science, Baylor University, Waco, TX, USA2Department of Computer Science, University of Missouri, Columbia, MO, USA3Department of Computer Science, University of Tennessee, Knoxville, TN, USACorresponding #Contributed Erich J Baker: Erich_Bdu; Guan N Lin: gnln66@Mdu; Huadong Liu: du; Ravi Kosuri: Ravikanth_Kdu Received August 27, 2007; Accepted November 26, This is an Open Access article distributed under the terms of the Creative Commons Attribution License (), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly AbstractBackgroundAdvances in Internet technologies have allowed life science researchers to reach beyond the lab-centric research paradigm to create distributed Of the existing technologies that support distributed collaborations, there are currently none that simultaneously support data storage and computation as a shared network resource, enabling computational burden to be wholly removed from participating Software using computation-enable logistical networking components of the Internet Backplane Protocol provides a suitable means to accomplish these Here, we demonstrate software that enables this approach by distributing both the FASTA algorithm and appropriate data sets within the framework of a wide area ResultsFor large datasets, computation-enabled logistical networks provide a significant reduction in FASTA algorithm running time over local and non-distributed logistical networking We also find that genome-scale sizes of the stored data are easily adaptable to logistical ConclusionNetwork function unit-enabled Internet Backplane Protocol effectively distributes FASTA algorithm computation over large data sets stored within the scaleable In situations where computation is subject to parallel solution over very large data sets, this approach provides a means to allow distributed collaborators access to a shared storage resource capable of storing the large volumes of data equated with modern life In addition, it provides a computation framework that removes the burden of computation from the client and places it within the 原文地址可以直接下载,PDF格式,本文是关于互联网相关~希望对你有帮助~期待与朋友的交流学习~