公开(公告)号：US20170046404A1

公开(公告)日：2017-02-16

申请号：US14822776

申请日：2015-08-10

Applicant: Business Objects Software Ltd.

Inventor： Sybil Shim ,  Daniel Georges ,  Charles Wilson ,  Paul van der Eerden ,  Saeed Jahankhani

IPC: G06F17/30

CPC classification number: G06F17/30554 ,  G06F17/30867

Abstract: Examples of auto-monitoring and adjusting dynamic data visualizations are provided herein. A data visualization based on initial data can be generated. A series of data updates can be received. The data visualization can be updated based on the series of data updates. Various performance metrics can be monitored, and data updates and/or the updated data visualization can be adjusted accordingly. Performance metrics can include at least one of: a data visualization rendering time; a data transfer time; or a data update generation time. Upon determining that one or more performance metrics exceed a threshold: a time between data updates of the series of data updates can be increased; sampled data can be requested for subsequent data updates; and/or a time-dimension extent of the updated data visualization can be reduced.

Abstract translation: 本文提供了自动监控和调整动态数据可视化的示例。 可以生成基于初始数据的数据可视化。 可以接收一系列数据更新。 可以基于一系列数据更新来更新数据可视化。 可以监视各种性能指标，并可以相应地调整数据更新和/或更新的数据可视化。 性能指标可以包括以下至少一项：数据可视化呈现时间; 数据传输时间; 或数据更新生成时间。 在确定一个或多个性能指标超过阈值时：可以增加一系列数据更新的数据更新之间的时间; 可以请求采样数据进行后续数据更新; 和/或更新的数据可视化的时间维度范围可以减少。

公开(公告)号：US10324943B2

公开(公告)日：2019-06-18

申请号：US14822776

申请日：2015-08-10

Applicant: Business Objects Software Ltd.

Inventor： Sybil Shim ,  Daniel Georges ,  Charles Wilson ,  Paul van der Eerden ,  Saeed Jahankhani

IPC: G06F16/00 ,  G06F16/248 ,  G06F16/9535

Abstract: Examples of auto-monitoring and adjusting dynamic data visualizations are provided herein. A data visualization based on initial data can be generated. A series of data updates can be received. The data visualization can be updated based on the series of data updates. Various performance metrics can be monitored, and data updates and/or the updated data visualization can be adjusted accordingly. Performance metrics can include at least one of: a data visualization rendering time; a data transfer time; or a data update generation time. Upon determining that one or more performance metrics exceed a threshold: a time between data updates of the series of data updates can be increased; sampled data can be requested for subsequent data updates; and/or a time-dimension extent of the updated data visualization can be reduced.