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首页> 外文会议>International Conference on Advances in Big Data, Computing and Data Communication Systems >Cloud Computing as a Source of Independent, Large Scale Computing Capabilities for Small Science Teams, Based on Pierre Auger Collaboration Example
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Cloud Computing as a Source of Independent, Large Scale Computing Capabilities for Small Science Teams, Based on Pierre Auger Collaboration Example

机译：云计算作为小型科学团队的独立，大规模计算能力的源泉，基于Pierre捷杰斯协作榜样

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Small science teams often have to conduct researches that needs heavy calculations without access to adequate processing powers of computation clusters. However, cloud computing can be used as a reliable source of calculation potential. Development of software for Pierre Auger Surface Detectors needs large amounts of data, that can be obtained only by simulations conducted by CORSIKA and OffLine packages. With help of scripts, it is easy to create a nearly fully automated, cost and time efficient system, that can be used to many different simulation cases. Detailed instruction is presented, along with solutions of problems encountered during the simulations. Architecture of the system was designed in such way, that minimal configuration changes are needed to develop new simulation cases and they are provided as outside module. As an example, comparison of calculations from Lodz team will be presented as a proof of efficiency of the system, that will be later presented for the whole Pierre Auger Collaboration, to help other research teams.
机译：小型科学团队往往必须进行需要的研究，而无需获得足够的计算集群的充分处理能力。然而，云计算可以用作可靠的计算潜力来源。 Pierre Auger表面检测器软件的开发需要大量数据，只能通过Corsika和离线封装进行的模拟获得。在脚本的帮助下，很容易创建一个几乎全自动，成本和时间的高效系统，可用于许多不同的仿真情况。提出了详细的指令，以及在模拟期间遇到的问题的解决方案。系统的架构以这种方式设计，需要最小的配置更改来开发新的仿真情况，并且它们被提供为外部模块。例如，Lodz团队的计算比较将作为系统效率的证据，将稍后为整个Pierre捷者协作提供帮助，帮助其他研究团队。

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