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NFU-Enabled FASTA: moving bioinformatics applications onto wide area networks

机译：支持NFU的FASTA：将生物信息学应用程序移至广域网

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Background Advances in Internet technologies have allowed life science researchers to reach beyond the lab-centric research paradigm to create distributed collaborations. 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 clients. Software using computation-enable logistical networking components of the Internet Backplane Protocol provides a suitable means to accomplish these tasks. 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 network. Results For large datasets, computation-enabled logistical networks provide a significant reduction in FASTA algorithm running time over local and non-distributed logistical networking frameworks. We also find that genome-scale sizes of the stored data are easily adaptable to logistical networks. Conclusion Network function unit-enabled Internet Backplane Protocol effectively distributes FASTA algorithm computation over large data sets stored within the scaleable network. 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 science. In addition, it provides a computation framework that removes the burden of computation from the client and places it within the network.
机译：背景技术互联网技术的进步使生命科学研究者能够超越以实验室为中心的研究范式，从而创建分布式协作。在支持分布式协作的现有技术中，目前没有一种技术可以同时支持数据存储和计算作为共享的网络资源，从而使计算负担可以从参与的客户端中完全消除。使用Internet背板协议的可启用计算的后勤网络组件的软件提供了完成这些任务的合适方法。在这里，我们演示了通过在广域网框架内分发FASTA算法和适当的数据集来实现此方法的软件。结果对于大型数据集，支持计算的后勤网络大大减少了FASTA算法在本地和非分布式后勤网络框架上的运行时间。我们还发现，存储数据的基因组规模大小很容易适应物流网络。结论支持网络功能单元的Internet背板协议可将FASTA算法计算有效地分布在可伸缩网络中存储的大型数据集上。在计算需要处理非常大的数据集的并行解决方案的情况下，此方法提供了一种方法，允许分布式协作者访问共享的存储资源，该资源能够存储与现代生命科学相当的大量数据。此外，它提供了一种计算框架，可减轻客户端的计算负担并将其放置在网络中。

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