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From "Tzu-Li (Gordon) Tai" <tzuli...@apache.org>
Subject Re: Any good ideas for online/offline detection of devices that send events?
Date Mon, 06 Mar 2017 13:40:21 GMT
Hi Bruno!

The Flink CEP library also seems like an option you can look into to see if it can easily
realize what you have in mind.

Basically, the pattern you are detecting is a timeout of 5 minutes after the last event. Once
that pattern is detected, you emit a “device offline” event downstream.
With this, you can also extend the pattern output stream to detect whether a device has became
online again.

Here are some materials for you to take a look at Flink CEP:
1. http://flink.apache.org/news/2016/04/06/cep-monitoring.html
2. https://www.slideshare.net/FlinkForward/fabian-huesketill-rohrmann-declarative-stream-processing-with-streamsql-and-cep?qid=3c13eb7d-ed39-4eae-9b74-a6c94e8b08a3&v=&b=&from_search=4

The CEP parts in the slides in 2. also provides some good examples of timeout detection using

Hope this helps!


On March 4, 2017 at 1:27:51 AM, Bruno Aranda (baranda@apache.org) wrote:

Hi all,

We are trying to write an online/offline detector for devices that keep streaming data through
Flink. We know how often roughly to expect events from those devices and we want to be able
to detect when any of them stops (goes offline) or starts again (comes back online) sending
events through the pipeline. For instance, if 5 minutes have passed since the last event of
a device, we would fire an event to indicate that the device is offline.

The data from the devices comes through Kafka, with their own event time. The devices events
are in order in the partitions and each devices goes to a specific partition, so in theory,
we should not have out of order when looking at one partition.

We are assuming a good way to do this is by using sliding windows that are big enough, so
we can see the relevant gap before/after the events for each specific device. 

We were wondering if there are other ideas on how to solve this.

Many thanks!

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