121 | | * Sometimes, an experimenter does not require all measurement samples for a given metric, or he/she require some higher level information (e.g. average, min/max, etc...). '''OML''' supports measurement pre-processing or filtering at source to reduce the amount of reported and recorded data. These filters are specified by experimenter within the ''prototype'' of their application. ''Prototypes'' were first introduced in the [wiki:Tutorial/HelloWorld previous part] of this tutorial, and are detailed further [here]. Figure 3 illustrates the client-side data flow with filters. |
| 121 | * Sometimes, an experimenter does not require all measurement samples for a given metric, or he/she require some higher level information (e.g. average, min/max, etc...). '''OML''' supports measurement pre-processing or filtering at source to reduce the amount of reported and recorded data. These filters are specified by experimenter within the ''prototype'' of their application. ''Prototypes'' were first introduced in the [wiki:Tutorial/HelloWorld previous part] of this tutorial, and an example on using them is given [wiki:HowTo/LaunchApp here]. Figure 3 illustrates the client-side data flow with filters. |