Predicting Performance Of Multiple Queries Executing In A Database
    81.
    发明申请
    Predicting Performance Of Multiple Queries Executing In A Database 有权
    预测在数据库中执行的多个查询的性能

    公开(公告)号:US20100082602A1

    公开(公告)日:2010-04-01

    申请号:US12242616

    申请日:2008-09-30

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30469

    摘要: One embodiment is a method that generates query vectors from query plans and performance vectors from data collected while executing multiple queries in a database. A machine learning technique (MLT) computes distances between two query vectors and two performance vectors and then predicts performance of plural queries executing in the database.

    摘要翻译: 一个实施例是一种从在数据库中执行多个查询时收集的数据的查询计划和性能向量生成查询向量的方法。 机器学习技术(MLT)计算两个查询向量和两个性能向量之间的距离,然后预测在数据库中执行的多个查询的性能。

    Scheduling Memory Usage Of A Workload
    82.
    发明申请
    Scheduling Memory Usage Of A Workload 有权
    调度工作负载的内存使用情况

    公开(公告)号:US20090178045A1

    公开(公告)日:2009-07-09

    申请号:US12258226

    申请日:2008-10-24

    IPC分类号: G06F9/46

    CPC分类号: G06F9/5016

    摘要: Described herein is a method for scheduling memory usage of a workload, the method comprising: receiving the workload, wherein the workload includes a plurality of jobs; determining a memory requirement to execute each of the plurality of jobs; arranging the plurality of jobs in an order of the memory requirements of the plurality of jobs such that the job with the largest memory requirement is at one end of the order and the job with the smallest memory requirement is at the other end of the order; assigning in order a unique priority to each of the plurality of jobs in accordance with the arranged order such that the job with the largest memory requirement is assigned the highest priority for execution and the job with the smallest memory requirement is assigned the lowest priority for execution; and executing the workload by concurrently executing the jobs in the workload in accordance with the arranged order of the plurality of jobs and the unique priority assigned to each of the plurality of jobs.

    摘要翻译: 这里描述了一种用于调度工作负载的存储器使用的方法,所述方法包括:接收所述工作负载,其中所述工作负载包括多个作业; 确定执行所述多个作业中的每一个的存储器需求; 按照多个作业的存储器要求的顺序排列多个作业,使得具有最大存储器要求的作业处于订单的一端,并且具有最小存储器要求的作业处于该订单的另一端; 按照排列的顺序为每个作业分配唯一的优先权,使得具有最大存储器需求的作业被分配用于执行的最高优先级,并且具有最小存储器需求的作业被分配用于执行的最低优先级 ; 以及通过根据所述多个作业的排列顺序以及分配给所述多个作业中的每一个的唯一优先级并行地执行所述工作负载中的作业来执行所述工作负荷。

    Identifying a sequence of blocks of data to retrieve based on a query
    84.
    发明申请
    Identifying a sequence of blocks of data to retrieve based on a query 有权
    根据查询识别要检索的数据块序列

    公开(公告)号:US20080086446A1

    公开(公告)日:2008-04-10

    申请号:US11543494

    申请日:2006-10-05

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30442

    摘要: A computer-executable method receives at least one query that specifies requests involving blocks of data. Based on information associated with at least one query, a sequence is identified relating to an order in which the blocks are to be retrieved into a storage for processing the requests. An output is provided for the at least one query based on retrieving the blocks into the storage according to the identified sequence.

    摘要翻译: 计算机可执行方法接收至少一个指定涉及数据块的请求的查询。 基于与至少一个查询相关联的信息,识别与要将数据块检索到用于处理请求的存储器中的顺序有关的序列。 基于根据所识别的序列将块检索到存储器中,为至少一个查询提供输出。

    OLAP-based web access analysis method and system
    86.
    发明授权
    OLAP-based web access analysis method and system 有权
    基于OLAP的Web访问分析方法和系统

    公开(公告)号:US06684206B2

    公开(公告)日:2004-01-27

    申请号:US09861452

    申请日:2001-05-18

    IPC分类号: G06F1730

    摘要: A method and system for analyzing web access. First, a plurality of web log records are received. Next, multi-dimensional summary information is generated based on the web log records. Then, derivation and analysis are performed to discover usage patterns and rules for supporting business intelligence by using the multi-dimensional summary information.

    摘要翻译: 一种用于分析Web访问的方法和系统。 首先,接收多个web日志记录。 接下来,基于web日志记录生成多维摘要信息。 然后,通过使用多维摘要信息,进行派生和分析来发现用于支持商业智能的使用模式和规则。

    VISUALIZING TIME-DENSE EPISODES
    90.
    发明申请
    VISUALIZING TIME-DENSE EPISODES 有权
    可视化时间表感染

    公开(公告)号:US20140040247A1

    公开(公告)日:2014-02-06

    申请号:US13562752

    申请日:2012-07-31

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30551

    摘要: Attributes in data records are identified. Episodes corresponding to the respective attributes include respective data records. The episodes are scored, where scoring of a particular one of the episodes is based on relative time densities between successive data records of the particular episode. A visualization of at least some of the episodes to provide an alert of time-dense episodes.

    摘要翻译: 识别数据记录中的属性。 对应于各个属性的情节包括各自的数据记录。 这些剧集得分,其中特定剧集的得分基于特定剧集的连续数据记录之间的相对时间密度。 至少一些情节的可视化,以提供时间密集的情节的警报。