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    • 7. 发明授权
    • Using deltas for efficient policy distribution
    • 使用三角洲来实现有效的政策分配
    • US07437441B1
    • 2008-10-14
    • US10376426
    • 2003-02-28
    • Daniel N. J. DrewDavid C. JamesGopal ParupudiKenneth Mark OsborneMichael J. HealyDeepak Kumar
    • Daniel N. J. DrewDavid C. JamesGopal ParupudiKenneth Mark OsborneMichael J. HealyDeepak Kumar
    • G06F15/173
    • H04L41/0893H04L41/082H04L63/20
    • The present disclosure relates to mapping, tracking, and distributing policy to client devices. Policy, in particular lists of policy assignments are sent to client devices. A determination is made as to the changes or deltas between policy assignments that have been sent to client devices and policy assignments that must be sent to client devices. Identifying the delta policy assignments avoids the need be sent to client devices. Identifying the delta policy assignments avoids the need to send policy assignments that have not change and do not need to be sent to client devices. A server computer determines applicability of policy assignments to particular client devices, tracks if and when policy assignments have been deleted and allows the client to either receive a partial list of policy assignments that are required to update policy or a full list of policy assignments. Full, partial or not list policy assignment depends when a particular client device was last provided a policy assignment.
    • 本公开涉及映射,跟踪和分发策略到客户端设备。 策略,特别是政策分配列表将发送到客户端设备。 确定已经发送到客户端设备的策略分配和必须发送到客户端设备的策略分配之间的更改或增量。 识别增量策略分配避免了将需要发送到客户端设备。 识别增量策略分配避免了发送没有更改的策略分配,而不需要发送到客户端设备的需要。 服务器计算机确定特定客户端设备的策略分配的适用性,跟踪策略分配是否被删除以及是否允许客户端接收更新策略或完整策略分配列表所需的策略分配的部分列表。 完整,部分或不完整的策略分配取决于特定客户端设备上次提供策略分配。
    • 10. 发明授权
    • Method for data compression
    • 数据压缩方法
    • US5533051A
    • 1996-07-02
    • US30741
    • 1993-03-12
    • David C. James
    • David C. James
    • G06T9/00G09C1/00H03M7/30H04B1/66H04L9/18H03M7/34H03M7/40
    • G06T9/005H03M7/30
    • Methods for compressing data including methods for compressing highly randomized data are disclosed. Nibble encode, distribution encode, and direct bit encode methods are disclosed for compressing data which is not highly randomized. A randomized data compression routine is also disclosed and is very effective for compressing data which is highly randomized. All of the compression methods disclosed operate on a bit level and accordingly are insensitive to the nature or origination of the data sought to be compressed. Accordingly, the methods of the present invention are universally applicable to any form of data regardless of its source of origination.
    • 公开了压缩数据的方法,包括压缩高度随机数据的方法。 公开了用于压缩不是高度随机化的数据的半字节编码,分布编码和直接比特编码方法。 还公开了一种随机数据压缩程序,对于高度随机化的数据非常有效。 所公开的所有压缩方法都在一定程度上进行操作,因此对所要压缩的数据的性质或起源不敏感。 因此,无论其起源如何,本发明的方法普遍适用于任何形式的数据。