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Institut für Softwaretechnologie
Reliable Software Systems
CAUS: An Elasticity
Controller for a
Containerized
Microservice
Floriment Klinaku, Markus Frank,
Steffen Becker
Context
08.04.18 2
MyMicroservice
Demand
Universität Stuttgart
Ideally
08.04.18 3
Containers
0/s
10/s
20/s
30/s
40/s
14:36 14:37 14:38 14:39 14:40 14:41 14:42 14:43 14:44
0
1
2
3
4
5
6
Arrival rate
50/s
60/s
Universität Stuttgart
Time
Problem
08.04.18 4
Containers
0/s
10/s
20/s
30/s
40/s
14:36 14:37 14:38 14:39 14:40 14:41 14:42 14:43 14:44
0
1
2
3
4
5
6
Arrival rate
50/s
60/s
Unpredictable
Universität Stuttgart
Time
Problem
08.04.18 4
Containers
0/s
10/s
20/s
30/s
40/s
14:36 14:37 14:38 14:39 14:40 14:41 14:42 14:43 14:44
0
1
2
3
4
5
6
Arrival rate
50/s
60/s
Universität Stuttgart
Time
Problem
08.04.18 4
Containers
0/s
10/s
20/s
30/s
40/s
14:36 14:37 14:38 14:39 14:40 14:41 14:42 14:43 14:44
0
1
2
3
4
5
6
Arrival rate
50/s
60/s
Universität Stuttgart
Time
Provision for Current Demand
08.04.18 5
1
Queue Length
CPU Utilization
2
Universität Stuttgart
Provision for Current Demand
08.04.18 5
1
Queue Length
CPU Utilization
2
Containers
0/s
10/s
20/s
30/s
40/s
14:36 14:37 14:38 14:39 14:40 14:41 14:42 14:43 14:44
0
1
2
3
4
5
6
Arrival rate
50/s
60/s
Universität Stuttgart
CAUS: Provision for Current Demand
08.04.18 6
Arrival Rate Processing Capacity
Containers
0/s
10/s
20/s
30/s
40/s
14:36 14:37 14:38 14:39 14:40 14:41 14:42 14:43 14:44
0
1
2
3
4
5
6
Arrival rate
50/s
60/s
3
Universität Stuttgart
CAUS: Extra Capacity
Initial Size Threshold
Arrival Rate Processing Capacity
Always anticipate
this much
Anticipate
more
1
2
08.04.18
Universität Stuttgart
7
CAUS: Current Demand + Extra Capacity
08.04.18 8
Initial Size
Threshold
time0 time1
1
50%
Containers
0
1
2
3
4
Arrival rate
rate0
rate1
Time
Universität Stuttgart
CAUS: Current Demand + Extra Capacity
08.04.18 8
time0 time1
Containers
0
1
2
3
4
Arrival rate
rate0
rate1
+1
Time
Initial Size
Threshold
1
50%
Universität Stuttgart
Tests
08.04.18 9
0/s
30/s
Initial Size
Threshold
1
50%
ContainersArrival rate
0
1
2
3
4
5
6
7
15/s
45/s
Time
Increase-Decrease Spike
Universität Stuttgart
Results
08.04.18 10
Overprovisions
most of the time,
but with less then
two containers
When
underprovisioning,
the need is not
high
87% 73%
<2 <2
2% 2%
<1 <1
Inc.-
Dec.
Spike
Overprovisioning
timeshare
precision
timeshare
precisionUnderprovisioning
Universität Stuttgart
Future work
08.04.18 11
CAUS
provisions for
the average rate
Use Feedback
Containers
0/s
10/s
20/s
30/s
40/s
14:36 14:37 14:38 14:39 14:40 14:41 14:42 14:43 14:44
0
1
2
3
4
5
6
Arrival rate
50/s
60/s
Universität Stuttgart
Queue Length
Conclusion
08.04.18 12
Initial Size Threshold
Arrival Rate Processing Capacity
Always anticipate
this much
Anticipate
more
1
2
Universität Stuttgart

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CAUS: An Elasticity Controller for Containerized Microservices