公开(公告)号：WO2015038152A1

公开(公告)日：2015-03-19

申请号：PCT/US2013/059837

申请日：2013-09-14

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： CHERKASOVA, Ludmila ,  GUPTA, Chetan Kumar ,  SIMITSIS, Alkiviadis ,  WANG, Jianqiang ,  WILKINSON, William K

IPC: G06F17/00 ,  G06F17/30

CPC classification number: G06N5/04 ,  G06F17/30445 ,  G06N99/005

Abstract: Example embodiments relate to predicting execution times of concurrent queries. In example embodiments, historical data is iteratively generated for a machine learning model by varying a concurrency level of query executions in a database, determining a query execution plan for a pending concurrent query, extracting query features from the query execution plan, and executing the pending concurrent query to determine a query execution time. The machine learning model may then be created based on the query features, variation in the concurrency level, and the query execution time. The machine learning model is used to generate an execution schedule for production queries, where the execution schedule satisfies service level agreements of the production queries.

Abstract translation: 示例实施例涉及预测并发查询的执行时间。 在示例实施例中，通过改变数据库中的查询执行的并发级别，确定待执行的并发查询的查询执行计划，从查询执行计划中提取查询特征以及执行待处理的查询执行计划，迭代地为机器学习模型生成历史数据 并发查询确定查询执行时间。 然后可以基于查询特征，并发级别的变化和查询执行时间来创建机器学习模型。 机器学习模型用于生成生产查询的执行计划，其中执行计划满足生产查询的服务级别协议。

公开(公告)号：WO2014209292A1

公开(公告)日：2014-12-31

申请号：PCT/US2013/047765

申请日：2013-06-26

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： SIMITSIS, Alkiviadis ,  WILKINSON, William K

IPC: G06F17/00 ,  G06F17/30

CPC classification number: G06F8/433 ,  G06F8/30 ,  G06F8/34 ,  G06F8/74 ,  G06F9/44 ,  G06F17/30433 ,  G06F17/30477

Abstract: Described herein are techniques for modifying an analytic flow. A flow may be associated with an execution engine. A flow graph representative of the flow may be obtained. The flow graph may be modified using a logical language. For example, a new flow graph expressed in the logical language may be generated. A program may be generated from the modified flow graph.

Abstract translation: 这里描述的是用于修改分析流的技术。 流程可能与执行引擎相关联。 可以获得代表流程的流程图。 可以使用逻辑语言修改流程图。 例如，可以生成以逻辑语言表示的新流程图。 可以从修改的流程图生成程序。

公开(公告)号：WO2015094312A1

公开(公告)日：2015-06-25

申请号：PCT/US2013/076779

申请日：2013-12-20

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： SIMITSIS, Alkiviadis ,  WILKINSON, William K

IPC: G06F17/00 ,  G06F17/30

CPC classification number: G06F17/30477 ,  G06F17/30306 ,  G06F17/30463 ,  G06F17/30554

Abstract: Described herein are techniques for identifying a path in a workload that may be associated with a deviation. A workload may be associated with multiple measurements of a plurality of metrics generated during execution of the workload. The multiple measurements may be aggregated at multiple levels of execution. One or more measurements may be compared to one or more other measurements or estimates to determine whether there is a deviation from an expected correlation. If determined that there is a deviation, a path can be identified in the workload that may be associated with the deviation.

Abstract translation: 这里描述了用于识别可能与偏差相关联的工作负载中的路径的技术。 工作负载可能与在执行工作负载期间生成的多个度量的多个测量相关联。 多个测量可以在多个执行级别聚合。 可以将一个或多个测量值与一个或多个其他测量值或估计值进行比较，以确定是否存在与预期相关性的偏差。 如果确定存在偏差，则可以在可能与偏差相关联的工作负载中识别路径。

公开(公告)号：WO2015152882A1

公开(公告)日：2015-10-08

申请号：PCT/US2014/032396

申请日：2014-03-31

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： PINTO, Jervis ,  OZONAT, Mehmet Kivanc ,  WILKINSON, William K ,  SAYAL, Mehmet Oguz ,  SIMITSIS, Alkiviadis

IPC: G06F17/00 ,  G06F9/44

CPC classification number: G06F17/3053 ,  G06F8/33 ,  G06F8/34 ,  G06F17/30554 ,  G06F17/30864 ,  G06N5/04 ,  G06N99/005

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to provide candidate services for an application. An example method includes determining a plurality of candidate services for a cloud application, determining an indication that a first candidate service from the plurality of candidate services is more relevant to the cloud application than a second candidate service based on a first prediction score corresponding to the first candidate service and a second prediction score corresponding to the second candidate service; presenting the first candidate service and the second candidate service to a user based on the first prediction score and the second prediction score; and adjusting a first weight corresponding to the first candidate service and a second weight corresponding to the second candidate service based on whether the first candidate service or the second candidate service is selected for inclusion in the cloud application.

Abstract translation: 公开了方法，装置，系统和制品以提供应用的候选服务。 一种示例性方法包括确定用于云应用的多个候选服务，基于与第二候选服务相对应的第一预测分数，确定来自多个候选服务的第一候选服务与云应用相比比第二候选服务更相关的指示 第一候选服务和对应于第二候选服务的第二预测分数; 基于第一预测分数和第二预测分数向用户呈现第一候选服务和第二候选服务; 以及基于所述第一候选服务或所述第二候选服务是否被选择以包括在所述云应用中，来调整对应于所述第一候选服务的第一权重和对应于所述第二候选服务的第二权重。