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    • 1. 发明申请
    • ALMOST PEER-TO-PEER CLOCK SYNCHRONIZATION
    • 同步对等时钟同步
    • US20080170592A1
    • 2008-07-17
    • US11622177
    • 2007-01-11
    • Michel H.T. HackZhen LiuAhmed A. SobeihLi Zhang
    • Michel H.T. HackZhen LiuAhmed A. SobeihLi Zhang
    • H04J3/06
    • H04J3/0641H04J3/0664H04J3/0676
    • Disclosed are a method of and a system for synchronizing clocks in a coordinated network of computers including a multitude of processing nodes, each of the nodes having a clock and one or more neighbor nodes. The method comprises the steps of electing one of the nodes as a correct leader node; and each of the non-leader nodes adjusting its clock rate, based on messages exchanged with neighbor nodes, to remain synchronized with the clock of said correct leader node. In a preferred embodiment, the adjusting step includes the step of each of the non-correct leader nodes using a weight assignment mechanism that gives neighbor nodes that are closer to the leader node more effect on the clock adjustment than those nodes that are further away from the correct leader node.
    • 公开了一种用于在包括多个处理节点的计算机的协调网络中同步时钟的方法和系统,每个节点具有时钟和一个或多个相邻节点。 该方法包括以下步骤:将节点中的一个选为正确的前导节点; 并且每个非前导节点基于与邻居节点交换的消息来调整其时钟速率,以与所述正确的前导节点的时钟保持同步。 在优选实施例中,调整步骤包括使用加权分配机制的每个非正确的前导节点的步骤,该加权分配机制给予距离前导节点更靠近时钟调整的相邻节点,而不是远离更远的节点 正确的领导节点。
    • 7. 发明授权
    • Methods and apparatus for cost minimization of multi-tiered infrastructure with end-to-end delay guarantees
    • 使用端到端延迟保证的多层基础设施成本最小化的方法和设备
    • US07626917B2
    • 2009-12-01
    • US10865064
    • 2004-06-10
    • Wuqin LinZhen LiuCathy Honghui XiaLi Zhang
    • Wuqin LinZhen LiuCathy Honghui XiaLi Zhang
    • H04J11/00G06F9/44G06F9/45
    • G06F9/50G06F9/5061
    • Techniques are provided for determining a capacity allocation in a multi-tiered computing system. In one aspect of the invention, a technique for designing capacity allocation for a multi-tiered computing system, each tier of the computing system having one or more computing devices (e.g., servers), comprises the following steps/operations. Input parameters relating to capacity allocation are obtained. A capacity allocation is computed based on at least a portion of the input parameters, the capacity allocation being computable such that one or more end-to-end performance measures are substantially satisfied for multiple service classes. The capacity allocation computation may minimize a cost function. The capacity allocation computation may also satisfy one or more mean delay guarantees for the multiple service classes, one or more tail distribution guarantees for the multiple service classes, or both one or more mean delay guarantees and one or more tail distribution guarantees for the multiple service classes.
    • 提供了用于确定多层计算系统中的容量分配的技术。 在本发明的一个方面,一种用于设计多层计算系统的容量分配的技术,具有一个或多个计算设备(例如,服务器)的计算系统的每个层包括以下步骤/操作。 获得与容量分配有关的输入参数。 基于输入参数的至少一部分来计算容量分配,所述容量分配是可计算的,使得对于多个服务类基本上满足一个或多个端到端性能测量。 容量分配计算可以最小化成本函数。 容量分配计算还可以满足多个服务类别的一个或多个平均延迟保证,多个服务类别的一个或多个尾部分配保证,或一个或多个平均延迟保证以及用于多个服务的一个或多个尾部分配保证 课程
    • 10. 发明申请
    • METHOD AND APPARATUS FOR PREDICTING FUTURE TRAVEL TIMES OVER A TRANSPORTATION NETWORK
    • 用于预测运输网络未来旅行时间的方法和装置
    • US20080147307A1
    • 2008-06-19
    • US12038559
    • 2008-02-27
    • ZHEN LIULaura WynterLi Zhang
    • ZHEN LIULaura WynterLi Zhang
    • G08G1/01
    • G08G1/123
    • The present invention is a method and an apparatus for predicting future travel times over a transportation network. In one embodiment, a method for predicting future travel times over a transportation network includes receiving a data point indicating a real-time volume of traffic on the link at a given time and updating a template representative of an observed traffic pattern on the link in accordance with the received data point. A future travel time over the link can then be estimated in accordance with the updated template. Thus, the template is able to adapt to dynamically changing traffic patterns, taking these changing traffic patterns into account when making predictions of future traffic patterns.
    • 本发明是用于预测运输网络上的未来旅行时间的方法和装置。 在一个实施例中,用于预测运输网络上的未来旅行时间的方法包括在给定时间接收指示链路上的实时流量的数据点,并且根据链路更新表示链路上观察到的业务模式的模板 与收到的数据点。 然后可以根据更新的模板来估计链接上的未来旅行时间。 因此,模板能够适应动态变化的流量模式,在对未来流量模式进行预测时考虑到这些变化的流量模式。