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Claudio Maggioni 2021-05-12 16:26:48 +02:00
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@ -130,12 +130,33 @@ compute and save intermediate results beforehand.
**Observations**:
- Across all cluster almost 50% of time is spent in "unknown" transitions, i.e.
there are some time slices that are related to a state transition that Google
says are not "typical" transitions. This is mostly due to the trace log being
intermittent when recording all state transitions.
- 80% of the time spent in KILL and LOST is unknown. This is predictable, since
both states indicate that the job execution is not stable (in particular LOST
is used when the state logging itself is unstable)
- From the absolute graph we see that the time "wasted" on non-finish terminated
jobs is very significant
- Execution is the most significant task phase, followed by queuing time and
scheduling time ("ready" state)
- In the absolute graph we see that a significant amount of time is spent to
re-schedule evicted jobs ("evicted" state)
- Cluster A has unusually high queuing times
## task_slowdown
\input{figures/spatial_resource_waste}
**Observations**:
- Most (mesasured and requested) resources are used by killed job, even more
than in the 2011 traces.
- Behaviour is rather homogeneous across datacenters, with the exception of
cluster G where a lot of LOST-terminated tasks acquired 70% of both CPU and
RAM
## spatial_resource_waste
## figure_7
## figure_8
@ -154,25 +175,4 @@ compute and save intermediate results beforehand.
# Conclusions and future work or possible developments
Some examples
-------------
**Figure  [1](#fig:USILogo){reference-type="ref"
reference="fig:USILogo"}** shows how to insert figures in the document.
![Caption of the figure](logo-info.pdf){#fig:USILogo width="50%"}
**Table  [1](#tab:numbers){reference-type="ref"
reference="tab:numbers"}** shows how to insert tables in the document.
::: {#tab:numbers}
**Col 1** **Col 2** **Col 3** **Col 4**
----------- ----------- ----------- -----------
1 2 3 Goofy
4 5 6 Mickey
: Caption of the table
:::
<!-- vim: set ts=2 sw=2 et tw=80: -->

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