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    • 1. 发明授权
    • Learned upload time estimate module
    • 学习上传时间估计模块
    • US07840646B2
    • 2010-11-23
    • US10682636
    • 2003-10-08
    • Brockton S. DavisEdward F. Seitz
    • Brockton S. DavisEdward F. Seitz
    • G06F15/16G06F15/173
    • G06F11/3447G06F2201/835H04L67/02H04L67/06H04L69/329
    • A learned upload time estimate is derived from historical uploading information. This involves reviewing historical uploading information for previous uploads. To determine if there is a match or likeness between information of files presently selected for uploading and the historical uploading information for any of the previous uploads, the size of these files is combined to produce an upload size. The size and timestamp of the current upload is compared against the size and timestamp of each of the previous uploads. If a match with a previous upload is found its actual time is used as the learned estimate upload time. If a match or likeness is not found, an average transfer rate is computed from the historical uploading information for the previous uploads. From the average transfer rate and upload size a learned upload time estimate is derived and provided to a client for display to a user.
    • 学习的上传时间估计来自历史上传信息。 这涉及到查看以前上传的历史上传信息。 为了确定目前选择上传的文件的信息与上一次上传的历史上传信息之间是否存在匹配或相似性,将这些文件的大小合并以产生上传大小。 将当前上传的大小和时间戳与每个先前上传的大小和时间戳进行比较。 如果找到与之前上传的匹配,则其实际时间将用作学习的估计上传时间。 如果未找到匹配或相似性,则从以前上传的历史上传信息计算平均传输速率。 根据平均传输速率和上传大小,导出学习的上传时间估计,并将其提供给客户端以向用户显示。