Computational Neuroscience as a Service: Porting MIIND to the Cloud

Björn-Ole Gerckens, K. Djemame, M. Kamps
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引用次数: 1

Abstract

In this paper, we investigate how cloud computing could benefit computational neuroscience. To that end, Multiple Interacting Instantiations of Neuronal Dynamics (MIIND), a computational neuroscience modelling toolkit, was ported to a private, university-owned cloud. The aim was to pave the way for making MIIND more accessible to non-specialist users in virtue of concealing its implementation context as well as rendering local IT infrastructure unnecessary. For that purpose, a customisable MIIND-based workflow model was encased within a virtualised wrapping apparatus. This served to fully automate running configurable MIIND simulations remotely via a convenient web-interface in a transparent manner with the user being incognisant of the cloud and the service orientated architecture behind it. This architecture can be adopted for any application conforming to the workflow characteristics of MIIND and helps inform the porting process of serial and legacy applications.
计算神经科学作为一种服务:将思维移植到云端
在本文中,我们研究了云计算如何使计算神经科学受益。为此,计算神经科学建模工具包“神经元动力学的多重交互实例”(Multiple interaction instances of Neuronal Dynamics, mind)被移植到一个大学拥有的私有云平台上。其目的是通过隐藏其实现上下文,并使本地IT基础设施变得不必要,从而为非专业用户更容易访问mind铺平道路。为此,一个可定制的基于mind的工作流模型被封装在一个虚拟包装设备中。这有助于通过方便的web界面以透明的方式远程自动化运行可配置的mind模拟,用户不知道云及其背后的面向服务的体系结构。该体系结构可用于符合mind工作流特征的任何应用程序,并有助于通知串行和遗留应用程序的移植过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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