Hosted Processing Facility

当数据存储在大型集中归档中时，如果没有本地处理能力，通常是没有用处的。有许多大型的科学和商业数据档案。通常，这些数据是数据中心所有者的专利。社区的其他成员通常无法访问这些数据，更不用说传输（和存储）所涉及的大量数据的问题。这种对数据的限制是研究和商业进步的主要障碍。一个更加明智和前瞻性的方法是将档案与处理能力结合起来，通过网络提供。在这种情况下，远程用户上传他们的处理算法以供本地执行。然后只下载数据简化后的结果。这为数据用户节省了大量费用。由此节省的费用可以转化为对这个“托管处理”服务的订阅。推广到所有类型的数据中心是这里的创新。

Data, when stored in a large centralised archive, is generally of no use if it is not accompanied by a local processing capacity. There are many large science and commercial data archives. Too often, this data is the preserve of the data centre owner. Other members of the community are generally unable to access this data, quite apart from the problem of transferring (and storing) the huge quantities of data involved. This confinement of data is a major obstacle to the progress of research and business. A far more sensible and forward looking approach is to couple the archives to processing capacity, made available over the network. In this context, remote users upload their processing algorithms for local execution. Only the data-reduced result is then downloaded. This generates large savings for the data users. The resulting savings can be translated into subscriptions to this “hosted processing” service. The generalisation to all types of data centre is the innovation here.