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    • 1. 发明授权
    • Engine near cache for reducing latency in a telecommunications environment
    • 发动机靠近缓存,以减少电信环境中的延迟
    • US08112525B2
    • 2012-02-07
    • US11748791
    • 2007-05-15
    • Anno R. LangenRao Nasir KhanJohn D. BeattyIoannis Cosmadopoulos
    • Anno R. LangenRao Nasir KhanJohn D. BeattyIoannis Cosmadopoulos
    • G06F15/173
    • H04L67/1095H04L65/1006H04L67/1002H04L67/2842
    • The SIP server can be comprised of an engine tier and a state tier distributed on a cluster network environment. The engine tier can send, receive and process various messages. The state tier can maintain in-memory state data associated with various SIP sessions. A near cache can be residing on the engine tier in order to maintain a local copy of a portion of the state data contained in the state tier. Various engines in the engine tier can determine whether the near cache contains a current version of the state needed to process a message before retrieving the state data from the state tier. Accessing the state from the near cache can save on various latency costs such as serialization, transport and deserialization of state to and from the state tier. Furthermore, the near cache and JVM can be tuned to further improve performance of the SIP server.
    • SIP服务器可以由分布在集群网络环境上的引擎层和状态层组成。 引擎层可以发送,接收和处理各种消息。 状态层可以维护与各种SIP会话相关联的内存状态数据。 靠近缓存可以驻留在引擎层上,以便维护状态层中包含的状态数据的一部分的本地副本。 在从状态层检索状态数据之前,引擎层中的各种引擎可以确定近端缓存是否包含处理消息所需状态的当前版本。 从近端缓存访问状态可以节省各种延迟成本,例如状态到国家层的状态的序列化,传输和反序列化。 此外,可以调整近端缓存和JVM以进一步提高SIP服务器的性能。
    • 2. 发明申请
    • Engine Near Cache for Reducing Latency in a Telecommunications Environment
    • 引擎近缓存用于减少电信环境中的延迟
    • US20090019158A1
    • 2009-01-15
    • US11748791
    • 2007-05-15
    • Anno R. LangenRao Nasir KhanJohn D. BeattyIoannis Cosmadopoulos
    • Anno R. LangenRao Nasir KhanJohn D. BeattyIoannis Cosmadopoulos
    • G06F15/173
    • H04L67/1095H04L65/1006H04L67/1002H04L67/2842
    • The SIP server can be comprised of an engine tier and a state tier distributed on a cluster network environment. The engine tier can send, receive and process various messages. The state tier can maintain in-memory state data associated with various SIP sessions. A near cache can be residing on the engine tier in order to maintain a local copy of a portion of the state data contained in the state tier. Various engines in the engine tier can determine whether the near cache contains a current version of the state needed to process a message before retrieving the state data from the state tier. Accessing the state from the near cache can save on various latency costs such as serialization, transport and deserialization of state to and from the state tier. Furthermore, the near cache and JVM can be tuned to further improve performance of the SIP server.
    • SIP服务器可以由分布在集群网络环境上的引擎层和状态层组成。 引擎层可以发送,接收和处理各种消息。 状态层可以维护与各种SIP会话相关联的内存状态数据。 靠近缓存可以驻留在引擎层上,以便维护状态层中包含的状态数据的一部分的本地副本。 在从状态层检索状态数据之前,引擎层中的各种引擎可以确定近端缓存是否包含处理消息所需状态的当前版本。 从近端缓存访问状态可以节省各种延迟成本,例如状态到国家层的状态的序列化,传输和反序列化。 此外,可以调整近端缓存和JVM以进一步提高SIP服务器的性能。
    • 3. 发明授权
    • Distributed identities
    • 分布式身份
    • US07512649B2
    • 2009-03-31
    • US10194821
    • 2002-07-12
    • Yaroslav FaybishenkoJohn D. BeattySteve Waterhouse
    • Yaroslav FaybishenkoJohn D. BeattySteve Waterhouse
    • G06F15/16
    • H04L67/104H04L63/08H04L67/1002H04L67/1008H04L67/1012H04L67/1042H04L67/1044H04L67/1046H04L67/1068H04L67/108H04L69/329
    • In a system and method for the distribution of identities and reputation on a network, identity and reputation information may be distributed among nodes on a network (e.g. nodes on a peer-to-peer network). Embodiments may allow nodes on the network to evaluate other nodes' reputation using the distributed reputation information. Embodiments may allow nodes to iteratively increase confidence in a determined reputation of a node by determining the reputation of nodes that provide reputation information corresponding to the node. Embodiments may allow nodes to adjust a reputation of other nodes using results of transactions and prior reputations. Determined or adjusted reputation information and/or transaction information may be distributed among the nodes on the network. In one embodiment, transaction information may be divided into segments and the segments may be distributed among the nodes on the network.
    • 在用于在网络上分配身份和信誉的系统和方法中,身份和信誉信息可以在网络上的节点(例如,对等网络上的节点)之间分布。 实施例可以允许网络上的节点使用分布式信誉信息来评估其他节点的信誉。 实施例可以允许节点通过确定提供与节点相对应的信誉信息的节点的信誉来迭代地增加对所确定的节点信誉的置信度。 实施例可以允许节点使用事务和先前声誉的结果来调整其他节点的信誉。 确定或调整的信誉信息和/或交易信息可以分布在网络上的节点之间。 在一个实施例中,事务信息可以被划分为段,并且段可以在网络上的节点之间分布。
    • 4. 发明申请
    • WEB AND MOBILE DEVICE ADVERTISING
    • 网络和移动设备广告
    • US20120166267A1
    • 2012-06-28
    • US13244605
    • 2011-09-25
    • John D. BeattyLeonard R. SpeiserMichael L. Speiser
    • John D. BeattyLeonard R. SpeiserMichael L. Speiser
    • G06Q30/00
    • G06Q30/0219G06Q30/0247
    • Techniques and systems for selecting advertisements for dissemination over a network are disclosed. In one embodiment, an advertisement service stores information indicative of offers from merchants, including information indicating an amount of revenue that the offering merchant would be willing to share with the advertisement service if a consumer consummates a transaction with the merchant based on the good or service advertised in the offer. The service computes predicted conversion rates for these offers, and uses the predicted conversion rates and the revenue sharing information to select an advertisement for dissemination according to which advertisement is expected to generate the greatest amount of revenue for the advertisement service. The predicted conversion rate can be based on various features, including physical location of the consumer, the consumer's preferences on a third-party information sharing service, amount of discount reflected in the offer, the customer service rating of the merchant, etc.
    • 公开了用于选择通过网络传播的广告的技术和系统。 在一个实施例中,广告服务存储指示商家的报价的信息,包括指示如果消费者基于商品或服务完成与商家的交易,则提供商家将愿意与广告服务共享的收入量的信息 在报价中刊登广告。 该服务计算这些报价的预测转换率,并使用预测的转换率和收益分享信息来选择广告以进行传播,据此广告预期将为广告服务产生最大的收入。 预测的转化率可以基于各种功能,包括消费者的物理位置,消费者对第三方信息共享服务的偏好,在报价中反映的折扣量,商家的客户服务评级等。