商业云平台的成本管理
Cost Management on Commercial Cloud Platforms
摘要：
商业云平台是天文研究的强大技术。尽管云计算有很多好处--比如按需可扩展性和减少系统管理开销--但对许多人来说，如何管理成本仍然是最大的进入障碍之一。商业提供商提供的服务的快速增长，这些提供商数量的增长，以及以不同速率计量的存储，计算和I/O-所有这些都可能在不通知的情况下发生变化-加剧了这种混乱。通常，处理非常便宜，存储更昂贵，下载非常昂贵。因此，产生用于下载的大图像数据集的应用程序将比对小数据集执行广泛处理的应用程序昂贵得多。本次会议旨在通过介绍商业云上天文学应用成本计算的案例研究来量化上述陈述，这些案例研究涵盖了一系列处理场景;这些演示是与会者讨论的基础。
英文摘要：
Commercial cloud platforms are a powerful technology for astronomical research. Despite the benefits of cloud computing -- such as on-demand scalability and reduction of systems management overhead -- confusion over how to manage costs remains, for many, one of the biggest barriers to entry. This confusion is exacerbated by the rapid growth in services offered by commercial providers, by the growth in the number of these providers, and by storage, compute, and I/O metered at separate rates -- all of which can change without notice. As a rule, processing is very cheap, storage is more expensive, and downloading is very expensive. Thus, an application that produces large image data sets for download will be far more expensive than an application that performs extensive processing on a small data set. This Birds of a Feather (BoF) session aimed to quantify the above statement by presenting case studies of the costing of astronomy applications on commercial clouds that covered a range of processing scenarios; these presentations were the basis for discussion by the attendees.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
