Selected Virtual Machine Replication and Virtual Machine Restart Techniques
    41.
    发明申请
    Selected Virtual Machine Replication and Virtual Machine Restart Techniques 有权
    所选虚拟机复制和虚拟机重启技术

    公开(公告)号:US20150127970A1

    公开(公告)日:2015-05-07

    申请号:US14069738

    申请日:2013-11-01

    Abstract: Methods, systems, and articles of manufacture for selected VM replication and VM restart techniques are provided herein. A method includes selecting a sub-set of one or more VMs from a set of multiple VMs in a system to be replicated before an identification of one or more failed VMs in the set of multiple VMs; replicating the sub-set of one or more VMs before the identification of one or more failed VMs in the set of multiple VMs; selecting a sub-set of the identified one or more failed VMs to be restarted upon an identification of the one or more failed VMs in the set of multiple VMs in the system; and restarting the sub-set of the identified one or more failed VMs upon the identification of the one or more failed virtual machines in the set of multiple VMs.

    Abstract translation: 本文提供了选定的VM复制和VM重新启动技术的方法,系统和制造。 一种方法包括在识别多个VM组中的一个或多个故障VM之前,从要复制的系统中的多个VM的集合中选择一个或多个VM的子集; 在所述多个VM的集合中的一个或多个故障VM的识别之前复制一个或多个VM的子集; 在所述系统中的所述多个虚拟机组中的所述一个或多个故障VM的识别之后,选择所述所识别的一个或多个故障VM的子集重新启动; 以及在所述多个虚拟机的集合中的所述一个或多个故障虚拟机的标识之后重新启动所识别的一个或多个故障虚拟机的子集。

    Dynamic Model-Based Analysis of Data Centers
    42.
    发明申请
    Dynamic Model-Based Analysis of Data Centers 有权
    数据中心动态模型分析

    公开(公告)号:US20140222745A1

    公开(公告)日:2014-08-07

    申请号:US13759503

    申请日:2013-02-05

    Abstract: Techniques for model-based analysis of a data center. A method includes creating a metamodel based on domain knowledge to represent a type of object and/or relationship of a data center, using static and dynamic configuration and data analysis techniques to discover topology of elements of the data center and represent the topology as a model that is an instance of the metamodel, using the model to perform analysis of the data center in connection with a specified task, leveraging domain knowledge represented in nodes of the metamodel to guide the analysis in terms of determining guidelines to apply to each node and determining relationships to traverse to continue the analysis, extending the domain knowledge by updating the metamodel upon discovery of additional knowledge for use in improving analysis tasks, and extending the model on-demand using dynamic analysis techniques upon detection of multiple analysis failures.

    Abstract translation: 数据中心模型分析技术。 一种方法包括使用静态和动态配置以及数据分析技术来创建基于领域知识的元模型来表示数据中心的类型和/或关系,以发现数据中心的元素的拓扑并将拓扑表示为模型 这是元模型的一个实例,使用模型来执行与指定任务相关的数据中心的分析,利用在元模型的节点中表示的域知识来指导分析,以确定应用于每个节点的准则并确定 关系遍历以继续分析,通过在发现用于改进分析任务的附加知识后更新元模型来扩展领域知识,以及在检测到多个分析失败时使用动态分析技术扩展模型。

    USING CROWDSOURCING TO IMPROVE SENTIMENT ANALYTICS
    43.
    发明申请
    USING CROWDSOURCING TO IMPROVE SENTIMENT ANALYTICS 审中-公开
    使用兴奋剂改善感官分析

    公开(公告)号:US20140201251A1

    公开(公告)日:2014-07-17

    申请号:US13969531

    申请日:2013-08-17

    CPC classification number: G06Q50/01 G06F16/00

    Abstract: A computer and computer program product for managing analysis of sentiment is disclosed. A computer retrieves data used to perform the analysis of sentiment. The computer analyzes the data and the analysis of sentiment to determine if a gap exists requiring further processing to improve the analysis of sentiment. Responsive to a determination that the gap exists requiring further processing to improve the analysis of sentiment, the computer generates a task to address the gap. The computer then uses crowdsourcing to submit the generated task for processing.

    Abstract translation: 公开了一种用于管理情绪分析的计算机和计算机程序产品。 计算机检索用于执行情绪分析的数据。 计算机分析数据和情绪分析,以确定是否存在需要进一步处理以改善情绪分析的差距。 响应于确定差距存在需要进一步处理以改善情绪分析,计算机产生一个解决差距的任务。 然后,计算机使用众包提交生成的任务进行处理。

    Query recommendation to locate an application programming interface

    公开(公告)号:US11500914B2

    公开(公告)日:2022-11-15

    申请号:US16122552

    申请日:2018-09-05

    Abstract: Systems, computer-implemented methods, and computer program products to facilitate query recommendation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an ontology component that can generate an ontology based on unstructured data of a description of an application programming interface. The computer executable components can further comprise a reasoner component that can identify one or more terms of the ontology that correspond semantically to a term of a query.

    Automated evaluation of information retrieval

    公开(公告)号:US11481404B2

    公开(公告)日:2022-10-25

    申请号:US17022204

    申请日:2020-09-16

    Abstract: A method, system, and computer program product for automated evaluation of information retrieval systems are provided. The method accesses a natural language query from a set of natural language queries. The natural language query is associated with a query difficulty level. The method generates one or more natural language responses to the natural language natural language query. Each natural language response is associated with at least one facet of the plurality of facets. The method generates a set of feedback cues. A set of search results for the natural language query are returned. The set of search results include a highest ranked natural language response of the one or more natural language responses. The method generates an evaluation result for the HCIR system for the query difficulty level based on the one or more natural language responses, the set of search results, and the set of feedback cues.

    PROVIDING READING INSIGHT ON URLS WITH UNFAMILIAR CONTENT

    公开(公告)号:US20210248203A1

    公开(公告)日:2021-08-12

    申请号:US16785717

    申请日:2020-02-10

    Abstract: In an approach for providing reading insight and notification on a URL with unfamiliar content for a user, a processor parses a web page to identify a URL. The URL references a subsequent web page. Prior to receiving a user interaction with the URL, a processor prefetches content of the subsequent web page. A processor determines a content domain of the prefetched content, the content domain being a summary of the prefetched content. A processor compares the content domain to a user profile, wherein the use profile is based, at least in part, on a browsing history of a user. A processor determines that the content domain is not in alignment to the user profile. A processor presents a notification to the user.

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