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    • 1. 发明申请
    • Method for bulk deletion through segmented files
    • 通过分段文件批量删除的方法
    • US20120047188A9
    • 2012-02-23
    • US11156842
    • 2005-06-20
    • Edward ChronFrederick DouglisStephen Morgan
    • Edward ChronFrederick DouglisStephen Morgan
    • G06F17/30
    • G06F17/30117
    • A mechanism is provided that aggregates data in a way that permits data to be deleted efficiently, while minimizing the overhead necessary to support bulk deletion of data. A request is received for automatic deletion of segments in a container and a waterline is determined for the container. A determination is made if at least one segment in the container falls below the waterline. Finally, in response to one segment falling below the waterline, the segment from the container is deleted. Each object has an associated creation time, initial retention value, and retention decay curve (also known as a retention curve). At any point, based on these values and the current time, the object's current retention value may be computed. The container system continually maintains a time-varying waterline: at any point, objects with a retention value below the waterline may be deleted.
    • 提供了一种机制,可以以允许数据有效删除的方式聚合数据,同时最大限度地减少支持批量删除数据所需的开销。 收到容器中段的自动删除请求,并确定容器的水线。 如果容器中的至少一个部分落在水线以下,则确定。 最后,为了响应一条落在水线以下的段,容器中的段被删除。 每个对象都具有相关联的创建时间,初始保留值和保留衰减曲线(也称为保留曲线)。 在任何时候,基于这些值和当前时间,可以计算对象的当前保留值。 集装箱系统不断维护时变水线:任何时候,保留值低于水线的对象可能会被删除。
    • 2. 发明申请
    • Method for bulk deletion through segmented files
    • 通过分段文件批量删除的方法
    • US20060288047A1
    • 2006-12-21
    • US11156842
    • 2005-06-20
    • Edward ChronFrederick DouglisStephen Morgan
    • Edward ChronFrederick DouglisStephen Morgan
    • G06F17/30
    • G06F17/30117
    • A mechanism is provided that aggregates data in a way that permits data to be deleted efficiently, while minimizing the overhead necessary to support bulk deletion of data. A request is received for automatic deletion of segments in a container and a waterline is determined for the container. A determination is made if at least one segment in the container falls below the waterline. Finally, in response to one segment falling below the waterline, the segment from the container is deleted. Each object has an associated creation time, initial retention value, and retention decay curve (also known as a retention curve). At any point, based on these values and the current time, the object's current retention value may be computed. The container system continually maintains a time-varying waterline: at any point, objects with a retention value below the waterline may be deleted.
    • 提供了一种机制,可以以允许数据有效删除的方式聚合数据,同时最大限度地减少支持批量删除数据所需的开销。 收到容器中段的自动删除请求,并确定容器的水线。 如果容器中的至少一个部分落在水线以下,则确定。 最后,为了响应一条落在水线以下的段,容器中的段被删除。 每个对象都具有相关联的创建时间,初始保留值和保留衰减曲线(也称为保留曲线)。 在任何时候,基于这些值和当前时间,可以计算对象的当前保留值。 集装箱系统不断维护时变水线:任何时候,保留值低于水线的对象可能会被删除。
    • 5. 发明授权
    • Method for inter-site data stream transfer in cooperative data stream processing
    • 协同数据流处理中的站间数据流传输方法
    • US08688850B2
    • 2014-04-01
    • US11747694
    • 2007-05-11
    • Michael J. BransonFrederick DouglisZhen LiuFan Ye
    • Michael J. BransonFrederick DouglisZhen LiuFan Ye
    • G06F17/30
    • H04L12/4633H04L69/40
    • A cooperative data stream processing system is provided that utilizes a plurality of independent, autonomous and potentially heterogeneous sites in a cooperative arrangement to process user-defined inquiries over dynamic, continuous streams of data. The system derives jobs from the inquiries and these jobs are executed on the various distributed sites by executing applications containing processing elements on these sites. Therefore, components of a given job can be executed simultaneously and in parallel on a plurality of sites within in the system. The sites associated with a given job execution have the need to share data, both primal and derived. A tunnel mechanism is provided that establishes tunnels between pairs of sites within the system. Each tunnel includes either a sink processing element on an originating site and a source processing element on a destination site or a gateway processing element on each site and a network connection between the sink and source processing elements. The sink and source processing elements are in communication with application processing elements on their respective sites and facilitate the exchange of data between these application processing elements. Tunnels can be establish on demand or in accordance with a prescribed plan and can be job specific of generic to any job executing on a given pair of sites.
    • 提供协作数据流处理系统,其利用协作布置中的多个独立的,自主的和潜在的异构站点来处理关于动态的,连续的数据流的用户定义的查询。 系统从查询中导出作业,这些作业通过执行包含这些站点上的处理元素的应用程序在各种分布式站点上执行。 因此,给定作业的组件可以在系统内的多个站点上同时并行地执行。 与给定作业执行相关联的站点需要共享数据,包括原始数据和派生数据。 提供了一种在系统内的站点对之间建立隧道的隧道机制。 每个隧道包括发起站点上的宿处理元件和目的站点上的源处理元件或每个站点上的网关处理元件以及宿和源处理元件之间的网络连接。 宿和源处理元件与其各自站点上的应用处理元件通信,并且便于这些应用处理元件之间的数据交换。 隧道可以根据需要或按照规定的计划建立,并且可以对于在给定的一对站点上执行的任何作业具有通用性。
    • 9. 发明申请
    • Method for the Interoperation of Virtual Organizations
    • 虚拟组织互操作方法
    • US20080256548A1
    • 2008-10-16
    • US11747820
    • 2007-05-11
    • Michael J. BransonFrederick DouglisBradley W. FawcettZhen LiuWilliam WallerFan Ye
    • Michael J. BransonFrederick DouglisBradley W. FawcettZhen LiuWilliam WallerFan Ye
    • G06F9/50
    • G06F9/5072
    • A cooperative data stream processing system is provided that utilizes a plurality of independent, autonomous and possibly heterogeneous sites in a cooperative arrangement to process user-defined job requests over dynamic, continuous streams of data. A method is provided to organize the distributed sites into a plurality of virtual organizations that can be further combined and virtualized into virtualized virtual organizations. These virtualized virtual organizations can also include additional distributed sites and existing virtualized virtual organizations and all members of a given virtualized virtual organization can share data and processing resources in order to process jobs on either a task-based or goal-based allocation mechanism. The virtualized virtual organization is created dynamically using ad-hoc collaborations among the members and is arranged in either a federated or cooperative architecture. Collaborations between members is either tightly-coupled or loosely coupled. Flexible management of resources is provided with resources being provided under exclusive control or based on best-effort access.
    • 提供协作数据流处理系统,其利用协作布置中的多个独立的,自主的和可能异构的站点,以通过动态的,连续的数据流处理用户定义的作业请求。 提供了一种方法来将分布式站点组织成可以进一步组合和虚拟化成虚拟化虚拟组织的多个虚拟组织。 这些虚拟化虚拟组织还可以包括其他分布式站点和现有虚拟化虚拟组织,并且给定的虚拟化虚拟组织的所有成员可以共享数据和处理资源,以便在基于任务或基于目标的分配机制上处理作业。 虚拟化虚拟组织是通过成员之间的自组织协作动态创建的,并且被安排在联合或协作架构中。 成员之间的协作是紧密耦合或松散耦合的。 提供资源的灵活管理,资源是在专属控制下或基于尽力而为的访问提供的。
    • 10. 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。