کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
406848 678113 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Reprint of: Simulation Platform: A cloud-based online simulation environment
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Reprint of: Simulation Platform: A cloud-based online simulation environment
چکیده انگلیسی

For multi-scale and multi-modal neural modeling, it is needed to handle multiple neural models described at different levels seamlessly. Database technology will become more important for these studies, specifically for downloading and handling the neural models seamlessly and effortlessly. To date, conventional neuroinformatics databases have solely been designed to archive model files, but the databases should provide a chance for users to validate the models before downloading them. In this paper, we report our on-going project to develop a cloud-based web service for online simulation called “Simulation Platform”. Simulation Platform is a cloud of virtual machines running GNU/Linux. On a virtual machine, various software including developer tools such as compilers and libraries, popular neural simulators such as GENESIS, NEURON and NEST, and scientific software such as Gnuplot, R and Octave, are pre-installed. When a user posts a request, a virtual machine is assigned to the user, and the simulation starts on that machine. The user remotely accesses to the machine through a web browser and carries out the simulation, without the need to install any software but a web browser on the user’s own computer. Therefore, Simulation Platform is expected to eliminate impediments to handle multiple neural models that require multiple software.


► Simulation Platform is a cloud-based online simulation environment.
► We host a cloud of virtual machines (VMs) running GNU/Linux.
► On the VMs, many neuroscience-related software are installed.
► Users can carry out computer simulations on the VMs using a web browser.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 24, Issue 9, November 2011, Pages 927–932
نویسندگان
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