RECOMMENDING RELEVANT AND PERSONALIZED CONTENT ACCESSING KEYWORDS FOR USERS OF A TEXT MESSAGING SERVICE BASED GLOBAL TEXTSITE PLATFORM
    1.
    发明申请
    RECOMMENDING RELEVANT AND PERSONALIZED CONTENT ACCESSING KEYWORDS FOR USERS OF A TEXT MESSAGING SERVICE BASED GLOBAL TEXTSITE PLATFORM 有权
    推荐相关内容和个性化内容访问基于文本消息服务的全球平台平台的用户

    公开(公告)号:US20130282750A1

    公开(公告)日:2013-10-24

    申请号:US13841930

    申请日:2013-03-15

    IPC分类号: G06F17/30

    摘要: A method and system for recommending relevant and personalized content retrieving keywords to users of a text messaging service (TMS) based content platform. Embodiments of the invention provide a discovery mechanism for introducing registered keywords identifying published information in the TMS based content platform that may be of interest to the user. In particular, the solution is hybrid in nature combining various sources of recommendations (e.g., based on past usage patterns, emerging trends, expert suggestions, etc.) to select recommended keywords. Based on this keyword discovery/recommendation mechanism, users with a basic phone and without smartphone data plans can discover contents through a TMS based content platform.

    摘要翻译: 一种用于向基于文本消息服务(TMS)的内容平台的用户推荐相关和个性化内容检索关键字的方法和系统。 本发明的实施例提供了一种发现机制,用于将识别已发布信息的注册关键字引入到用户可能感兴趣的基于TMS的内容平台中。 特别地,该解决方案本质上是混合了各种建议来源(例如,基于过去的使用模式,新兴趋势,专家建议等)来选择推荐的关键字。 基于这种关键字发现/推荐机制,具有基本手机和智能手机数据计划的用户可以通过基于TMS的内容平台发现内容。

    Recommending relevant and personalized content accessing keywords for users of a text messaging service based global textsite platform
    2.
    发明授权
    Recommending relevant and personalized content accessing keywords for users of a text messaging service based global textsite platform 有权
    推荐基于文本消息服务的全球文本网站平台的用户访问关键字的相关和个性化内容

    公开(公告)号:US08977642B2

    公开(公告)日:2015-03-10

    申请号:US13841930

    申请日:2013-03-15

    摘要: A method and system for recommending relevant and personalized content retrieving keywords to users of a text messaging service (TMS) based content platform. Embodiments of the invention provide a discovery mechanism for introducing registered keywords identifying published information in the TMS based content platform that may be of interest to the user. In particular, the solution is hybrid in nature combining various sources of recommendations (e.g., based on past usage patterns, emerging trends, expert suggestions, etc.) to select recommended keywords. Based on this keyword discovery/recommendation mechanism, users with a basic phone and without smartphone data plans can discover contents through a TMS based content platform.

    摘要翻译: 一种用于向基于文本消息服务(TMS)的内容平台的用户推荐相关和个性化内容检索关键字的方法和系统。 本发明的实施例提供了一种发现机制,用于将识别已发布信息的注册关键字引入到用户可能感兴趣的基于TMS的内容平台中。 特别地,该解决方案本质上是混合了各种建议来源(例如,基于过去的使用模式,新兴趋势,专家建议等)来选择推荐的关键字。 基于这种关键字发现/推荐机制,具有基本手机和智能手机数据计划的用户可以通过基于TMS的内容平台发现内容。

    OFSense: light-weight networking sensing with OpenFlow
    5.
    发明授权
    OFSense: light-weight networking sensing with OpenFlow 有权
    OFSense:使用OpenFlow进行轻量级网络感知

    公开(公告)号:US08874737B2

    公开(公告)日:2014-10-28

    申请号:US13554632

    申请日:2012-07-20

    摘要: A method for determining the state of an entire network, including state of applications and infrastructure includes receiving network control messages in an OpenFlow network, passing normal network control messages through OFSense, a control plane middleware, and constructing from the network control messages an application level connectivity graph to infer network delay between any two communicating server in the network and estimating an application response time of a given server in the network; and providing state of the network for enabling intelligent detection and diagnosis of infrastructure and application performance.

    摘要翻译: 一种用于确定整个网络的状态的方法,包括应用和基础设施的状态包括在OpenFlow网络中接收网络控制消息,通过OFSense传递正常网络控制消息,控制平面中间件,以及从网络控制消息构建应用级别 连接图,以推断网络中任何两个通信服务器之间的网络延迟,并估计网络中给定服务器的应用程序响应时间; 并提供网络的状态,以实现基础设施和应用程序性能的智能检测和诊断。

    OFSense: Light-Weight Networking Sensing With OpenFlow
    6.
    发明申请
    OFSense: Light-Weight Networking Sensing With OpenFlow 有权
    OFSense:使用OpenFlow进行轻量级网络感知

    公开(公告)号:US20130185419A1

    公开(公告)日:2013-07-18

    申请号:US13554632

    申请日:2012-07-20

    IPC分类号: H04L12/26

    摘要: A method for determining the state of an entire network, including state of applications and infrastructure includes receiving network control messages in an OpenFlow network, passing normal network control messages through OFSense, a control plane middleware, and constructing from the network control messages an application level connectivity graph to infer network delay between any two communicating server in the network and estimating an application response time of a given server in the network; and providing state of the network for enabling intelligent detection and diagnosis of infrastructure and application performance.

    摘要翻译: 一种用于确定整个网络的状态的方法,包括应用和基础设施的状态包括在OpenFlow网络中接收网络控制消息,通过OFSense传递正常网络控制消息,控制平面中间件,以及从网络控制消息构建应用级别 连接图,以推断网络中任何两个通信服务器之间的网络延迟,并估计网络中给定服务器的应用程序响应时间; 并提供网络的状态,以实现基础设施和应用程序性能的智能检测和诊断。

    System and method for determining application dependency paths in a data center
    7.
    发明授权
    System and method for determining application dependency paths in a data center 有权
    用于确定数据中心中的应用程序依赖路径的系统和方法

    公开(公告)号:US08443080B2

    公开(公告)日:2013-05-14

    申请号:US13100805

    申请日:2011-05-04

    IPC分类号: G06F15/173

    摘要: A method and a system are disclosed for determining application dependency paths in a data center. The method and the system captures application traffic volume data on the servers with switches and monitoring agents; generates an application traffic matrix of all the components of the applications based on the application traffic volume data; estimates the number of the applications in the data center from the traffic matrix with a Rank Estimation via Singular Value Decomposition or Power Factorization Residue Errors process; and decomposes the traffic matrix into a first matrix and a second matrix with a non-negative matrix factorization process using the estimated number of applications. The first matrix represents a set of the components belonging to each of the applications and the second matrix represents the amount of traffic generated by each application over time. Any noise in the first and second matrices is removed with a concurrent volumes ratios based correlation process.

    摘要翻译: 公开了一种用于确定数据中心中的应用依赖路径的方法和系统。 该方法和系统使用交换机和监控代理在服务器上捕获应用程序流量数据; 基于应用业务量数据生成应用的所有组件的应用业务矩阵; 通过奇异值分解或功率因子分解残差错误进行等级估计从业务矩阵估计数据中心中的应用数量; 并且使用估计的应用数量将业务矩阵分解为第一矩阵和具有非负矩阵分解过程的第二矩阵。 第一矩阵表示属于每个应用的组件的集合,第二矩阵表示每个应用随时间生成的流量。 第一和第二矩阵中的任何噪声均以基于并发卷比的相关过程被去除。

    FlowSense: light-weight networking sensing with openflow
    8.
    发明授权
    FlowSense: light-weight networking sensing with openflow 有权
    FlowSense:具有开放流量的轻量网络感知

    公开(公告)号:US08918502B2

    公开(公告)日:2014-12-23

    申请号:US13556930

    申请日:2012-07-24

    摘要: A method for determining the state of an entire network, including state of applications and infrastructure includes receiving network control messages in an OpenFlow network; passing normal network control messages through FlowSense, a control plane middleware, and constructing from the network control messages an application level connectivity graph to infer network delay between any two communicating server in the network and estimating an application response time of a given server in the network, the FlowSense including a network utilization procedure for computing the utilization of each link in the network derived from using captured messages triggered by switches when flow entries expire and providing state of the network for enabling intelligent detection and diagnosis of infrastructure and application performance.

    摘要翻译: 一种用于确定整个网络的状态的方法,包括应用和基础设施的状态包括在OpenFlow网络中接收网络控制消息; 通过FlowSense(控制平面中间件)传递正常的网络控制消息,并从网络控制消息中构建应用程序级连接图,以推断网络中任意两个通信服务器之间的网络延迟,并估计网络中给定服务器的应用程序响应时间 FlowSense包括一个网络利用程序,用于计算网络中利用每个链路的利用率,这些过程是在流量条目过期时使用由交换机触发的捕获消息得出的,并提供网络的状态以实现对基础架构和应用性能的智能检测和诊断。

    System and Method for Determining Application Dependency Paths in a Data Center
    10.
    发明申请
    System and Method for Determining Application Dependency Paths in a Data Center 有权
    确定数据中心应用依赖路径的系统和方法

    公开(公告)号:US20110276682A1

    公开(公告)日:2011-11-10

    申请号:US13100805

    申请日:2011-05-04

    IPC分类号: G06F15/173

    摘要: A method and a system are disclosed for determining application dependency paths in a data center. The method and the system captures application traffic volume data on the servers with switches and monitoring agents; generates an application traffic matrix of all the components of the applications based on the application traffic volume data; estimates the number of the applications in the data center from the traffic matrix with a Rank Estimation via Singular Value Decomposition or Power Factorization Residue Errors process; and decomposes the traffic matrix into a first matrix and a second matrix with a non-negative matrix factorization process using the estimated number of applications. The first matrix represents a set of the components belonging to each of the applications and the second matrix represents the amount of traffic generated by each application over time. Any noise in the first and second matrices is removed with a concurrent volumes ratios based correlation process.

    摘要翻译: 公开了一种用于确定数据中心中的应用依赖路径的方法和系统。 该方法和系统使用交换机和监控代理在服务器上捕获应用程序流量数据; 基于应用业务量数据生成应用的所有组件的应用业务矩阵; 通过奇异值分解或功率因子分解残差误差进行等级估计从业务矩阵估计数据中心中的应用数量; 并且使用估计的应用数量将业务矩阵分解为第一矩阵和具有非负矩阵分解过程的第二矩阵。 第一矩阵表示属于每个应用的组件的集合,第二矩阵表示每个应用随时间生成的流量。 第一和第二矩阵中的任何噪声均以基于并发卷比的相关过程被去除。