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    • 1. 发明申请
    • Methods and Apparatus for Effective On-Line Backup Selection for Failure Recovery in Distributed Stream Processing Systems
    • 分布式流处理系统故障恢复的有效在线备份选择方法与设备
    • US20080253283A1
    • 2008-10-16
    • US11733732
    • 2007-04-10
    • Frederick DouglisZhen LiuHonghui XiaBin Rong
    • Frederick DouglisZhen LiuHonghui XiaBin Rong
    • G08C15/00
    • G06F11/1482H04L67/1002H04L67/1031H04L67/1036H04L67/1095H04L69/40
    • A failure recovery framework to be used in cooperative data stream processing is provided that can be used in a large-scale stream data analysis environment. Failure recovery supports a plurality of independent distributed sites, each having its own local administration and goals. The distributed sites cooperate in an inter-site back-up mechanism to provide for system recovery from a variety of failures within the system. Failure recovery is both automatic and timely through cooperation among sites. Back-up sites associated with a given primary site are identified. These sites are used to identify failures within the primary site including failures of applications running on the nodes of the primary site. The failed applications are reinstated on one or more nodes within the back-up sites using job management instances local to the back-up sites in combination with previously stored state information and data values for the failed applications. In additions to inter-site mechanisms, each one of the plurality of sites employs an intra-site back-up mechanism to handle failure recoveries within the site.
    • 提供了可用于协同数据流处理的故障恢复框架,可用于大规模流数据分析环境。 故障恢复支持多个独立的分布式站点,每个都有自己的本地管理和目标。 分布式站点在站点间备份机制中进行协作,以便从系统内的各种故障提供系统恢复。 故障恢复是通过站点之间的合作自动和及时的。 识别与给定主要站点相关联的备用站点。 这些站点用于识别主站点中的故障,包括在主站点的节点上运行的应用程序的故障。 使用备份站点本地的作业管理实例以及先前存储的状态信息和失败应用程序的数据值,在备份站点中的一个或多个节点上恢复失败的应用程序。 除了站点间机制之外,多个站点中的每一个都采用站内备用机制来处理站点内的故障恢复。
    • 2. 发明授权
    • Methods and apparatus for effective on-line backup selection for failure recovery in distributed stream processing systems
    • 分布式流处理系统中故障恢复的有效在线备份选择的方法和装置
    • US08225129B2
    • 2012-07-17
    • US11733732
    • 2007-04-10
    • Frederick DouglisZhen LiuHonghui XiaBin Rong
    • Frederick DouglisZhen LiuHonghui XiaBin Rong
    • G06F11/00
    • G06F11/1482H04L67/1002H04L67/1031H04L67/1036H04L67/1095H04L69/40
    • A failure recovery framework to be used in cooperative data stream processing is provided that can be used in a large-scale stream data analysis environment. Failure recovery supports a plurality of independent distributed sites, each having its own local administration and goals. The distributed sites cooperate in an inter-site back-up mechanism to provide for system recovery from a variety of failures within the system. Failure recovery is both automatic and timely through cooperation among sites. Back-up sites associated with a given primary site are identified. These sites are used to identify failures within the primary site including failures of applications running on the nodes of the primary site. The failed applications are reinstated on one or more nodes within the back-up sites using job management instances local to the back-up sites in combination with previously stored state information and data values for the failed applications. In additions to inter-site mechanisms, each one of the plurality of sites employs an intra-site back-up mechanism to handle failure recoveries within the site.
    • 提供了可用于协作数据流处理的故障恢复框架,可用于大规模流数据分析环境。 故障恢复支持多个独立的分布式站点,每个都有自己的本地管理和目标。 分布式站点在站点间备份机制中进行协作,以便从系统内的各种故障提供系统恢复。 故障恢复是通过站点之间的合作自动和及时的。 识别与给定主要站点相关联的备用站点。 这些站点用于识别主站点中的故障,包括在主站点的节点上运行的应用程序的故障。 使用备份站点本地的作业管理实例以及先前存储的状态信息和失败应用程序的数据值,在备份站点中的一个或多个节点上恢复失败的应用程序。 除了站点间机制之外,多个站点中的每一个都采用站内备用机制来处理站点内的故障恢复。
    • 3. 发明申请
    • Mechanism for Recovery from Site Failure in a Stream Processing System
    • 在流处理系统中从站点故障恢复的机制
    • US20080256384A1
    • 2008-10-16
    • US11733724
    • 2007-04-10
    • Michael John BransonFrederick DouglisBradley William FawcettZhen LiuBin Rong
    • Michael John BransonFrederick DouglisBradley William FawcettZhen LiuBin Rong
    • G06F11/07
    • G06F11/2025G06F11/2048G06F11/2097
    • A failure recovery framework to be used in cooperative data stream processing is provided that can be used in a large-scale stream data analysis environment. Failure recovery supports a plurality of independent distributed sites, each having its own local administration and goals. The distributed sites cooperate in an inter-site back-up mechanism to provide for system recovery from a variety of failures within the system. Failure recovery is both automatic and timely through cooperation among sites. Back-up sites associated with a given primary site are identified. These sites are used to identify failures within the primary site including failures of applications running on the nodes of the primary site. The failed applications are reinstated on one or more nodes within the back-up sites using job management instances local to the back-up sites in combination with previously stored state information and data values for the failed applications. In additions to inter-site mechanisms, each one of the plurality of sites employs an intra-site back-up mechanism to handle failure recoveries within the site.
    • 提供了可用于协作数据流处理的故障恢复框架,可用于大规模流数据分析环境。 故障恢复支持多个独立的分布式站点,每个都有自己的本地管理和目标。 分布式站点在站点间备份机制中进行协作,以便从系统内的各种故障提供系统恢复。 故障恢复是通过站点之间的合作自动和及时的。 识别与给定主要站点相关联的备用站点。 这些站点用于识别主站点中的故障,包括在主站点的节点上运行的应用程序的故障。 使用备份站点本地的作业管理实例以及先前存储的状态信息和失败应用程序的数据值,在备份站点中的一个或多个节点上恢复失败的应用程序。 除了站点间机制之外,多个站点中的每一个都采用站内备用机制来处理站点内的故障恢复。
    • 4. 发明授权
    • Mechanism for recovery from site failure in a stream processing system
    • 在流处理系统中从站点故障恢复的机制
    • US08219848B2
    • 2012-07-10
    • US11733724
    • 2007-04-10
    • Michael John BransonFrederick DouglisBradley William FawcettZhen LiuBin RongFan Ye
    • Michael John BransonFrederick DouglisBradley William FawcettZhen LiuBin RongFan Ye
    • G06F11/00
    • G06F11/2025G06F11/2048G06F11/2097
    • A failure recovery framework to be used in cooperative data stream processing is provided that can be used in a large-scale stream data analysis environment. Failure recovery supports a plurality of independent distributed sites, each having its own local administration and goals. The distributed sites cooperate in an inter-site back-up mechanism to provide for system recovery from a variety of failures within the system. Failure recovery is both automatic and timely through cooperation among sites. Back-up sites associated with a given primary site are identified. These sites are used to identify failures within the primary site including failures of applications running on the nodes of the primary site. The failed applications are reinstated on one or more nodes within the back-up sites using job management instances local to the back-up sites in combination with previously stored state information and data values for the failed applications. In additions to inter-site mechanisms, each one of the plurality of sites employs an intra-site back-up mechanism to handle failure recoveries within the site.
    • 提供了可用于协作数据流处理的故障恢复框架,可用于大规模流数据分析环境。 故障恢复支持多个独立的分布式站点,每个都有自己的本地管理和目标。 分布式站点在站点间备份机制中进行协作,以便从系统内的各种故障提供系统恢复。 故障恢复是通过站点之间的合作自动和及时的。 识别与给定主要站点相关联的备用站点。 这些站点用于识别主站点中的故障,包括在主站点的节点上运行的应用程序的故障。 使用备份站点本地的作业管理实例以及先前存储的状态信息和失败应用程序的数据值,在备份站点中的一个或多个节点上恢复失败的应用程序。 除了站点间机制之外,多个站点中的每一个都采用站内备用机制来处理站点内的故障恢复。
    • 6. 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
    • 8. 发明申请
    • Method and apparatus for on-demand resource allocation and job management
    • 按需资源分配和作业管理的方法和装置
    • US20050114860A1
    • 2005-05-26
    • US10723230
    • 2003-11-26
    • Wuqin LinZhen LiuCharalambos StavropoulosCathy Honghui Xia
    • Wuqin LinZhen LiuCharalambos StavropoulosCathy Honghui Xia
    • G06F9/46G06F9/48G06F9/50
    • G06F9/5038G06F9/4887G06F2209/5021G06F2209/503
    • The invention is a method and apparatus for on-demand resource planning for unified messaging services. In one embodiment, multiple clients are served by a single system, and existing system resources are allocated among all clients in a manner that optimizes system output and service provider profit without the need to increase system resources. In one embodiment, resource allocation and job scheduling are guided by individual service level agreements between the service provider and the clients that dictate minimum service levels that must be achieved by the system. Jobs are processed in a manner that at least meets the specified service levels, and the benefit or profit derived by the service provider is maximized by prioritizing incoming job requests within the parameters of the specified service levels while meeting the specified service levels. Thus, operation and hardware costs remain substantially unchanged, while system output and profit are maximized.
    • 本发明是用于统一消息业务的按需资源规划的方法和装置。 在一个实施例中,多个客户端由单个系统服务,并且现有的系统资源以优化系统输出和服务提供者利润而不需要增加系统资源的方式在所有客户端之间分配。 在一个实施例中,资源分配和作业调度由服务提供商和客户端之间的各个服务级别协议指导,该协议规定了系统必须实现的最低服务水平。 以至少满足指定服务级别的方式对作业进行处理,并且通过在符合指定的服务级别的指定服务级别的参数内优先处理传入的作业请求来最大化服务提供商导出的利益或利润。 因此,运营和硬件成本基本保持不变,系统产出和利润最大化。