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FairShare Scheduling for OpenNebula:
architecture and performances
Stefano Bagnasco, Sara Vallero and Valentina Zaccolo
Istituto Nazionale
di Fisica Nucleare - Torino
1
INDIGO - DataCloud receives funding from the European Union’s Horizon 2020 research and innovation
programme under grant agreement RIA 653549
INDIGO - DataCloud
Better Software for Better Science
INDIGO - DataCloud
Better Software for Better Science
INDIGO – DataCloud
Better Software for Better Science
Valentina Zaccolo – OpenNebulaConf 2
Why scheduling fairly?
Large public cloud
•  approximately infinite resources
•  tenants are charged a posteriori
!  applications scale in/out freely
Small scientific datacenter
•  saturated regime
•  tenants are charged a priori
!  advanced resource allocation needed
FairShare Scheduling (FaSS) service
https://github.com/indigo-dc/one-fass
task priorities assigned according to
•  v1.0 released with ElectricIndigo in April 2017 with ONE patch
•  v1.2 ONE 5.4 compatibility!
check installation and usage demo: https://vimeo.com/216656868, pass: fass
Default OpenNebula (ONE) scheduler is FIFO and based only on static
resources partitioning among the projects " not suitable for scientific DC
initial weight
historical resource usage
Valentina Zaccolo – OpenNebulaConf 3
High-level architecture
FIFO SCHEDULER
XML-RPC INTERFACE
fassd
RPC PM TERMINATOR
asynchronous modules
- kills running VMs- only handles
queue
FaSS
- stateless
(no duplicated info in DB)
Valentina Zaccolo – OpenNebulaConf 3
High-level architecture
FIFO SCHEDULER
XML-RPC INTERFACE
fassd
RPC PM TERMINATOR
asynchronous modules
asks queue
queue
- reorders queue
- kills pending VMs
(synchronous)
- kills running VMs
influxDB
- nosql
- holds internal data (initial priorities,
historical usage, recalculated priorities)
Algorithms - MultiFactor
FaSS
- stateless
(no duplicated info in DB)
- only handles
queue
Valentina Zaccolo – OpenNebulaConf 3
High-level architecture
FIFO SCHEDULER
XML-RPC INTERFACE
FaSS
fassd
RPC PM TERMINATOR
asynchronous modules
queue
- reorders queue
- kills pending VMs
(synchronous)
- kills running VMs
influxDB
- nosql
- holds internal data (initial priorities,
historical usage, recalculated priorities)
sendsqueue
Algorithms - MultiFactor
- stateless
(no duplicated info in DB)
- only handles
queue
4
Performances
Test with three users: initial shares configured in /etc/fass/shares.conf :
[huey]
uid=4
gid=1
share=50
[louie]
uid=6
gid=1
share=25
[dewey]
uid=5
gid=1
share=25
Periodically instatiates VMs
for all 3 users
Stops instantiating Louie Reaches configured shares
Instantiates
all 3 users again
4
Performances
Test with three users: initial shares configured in /etc/fass/shares.conf :
[huey]
uid=4
gid=1
share=50
[louie]
uid=6
gid=1
share=25
[dewey]
uid=5
gid=1
share=25
Periodically instatiates VMs
for all 3 users
•  configurable TTL per user
•  configurable terminator action
•  test different algorithms
•  …
Stops instantiating Louie
Instantiates
all 3 users again
Reaches configured shares

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  • 1. FairShare Scheduling for OpenNebula: architecture and performances Stefano Bagnasco, Sara Vallero and Valentina Zaccolo Istituto Nazionale di Fisica Nucleare - Torino 1 INDIGO - DataCloud receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement RIA 653549 INDIGO - DataCloud Better Software for Better Science INDIGO - DataCloud Better Software for Better Science INDIGO – DataCloud Better Software for Better Science
  • 2. Valentina Zaccolo – OpenNebulaConf 2 Why scheduling fairly? Large public cloud •  approximately infinite resources •  tenants are charged a posteriori !  applications scale in/out freely Small scientific datacenter •  saturated regime •  tenants are charged a priori !  advanced resource allocation needed FairShare Scheduling (FaSS) service https://github.com/indigo-dc/one-fass task priorities assigned according to •  v1.0 released with ElectricIndigo in April 2017 with ONE patch •  v1.2 ONE 5.4 compatibility! check installation and usage demo: https://vimeo.com/216656868, pass: fass Default OpenNebula (ONE) scheduler is FIFO and based only on static resources partitioning among the projects " not suitable for scientific DC initial weight historical resource usage
  • 3. Valentina Zaccolo – OpenNebulaConf 3 High-level architecture FIFO SCHEDULER XML-RPC INTERFACE fassd RPC PM TERMINATOR asynchronous modules - kills running VMs- only handles queue FaSS - stateless (no duplicated info in DB)
  • 4. Valentina Zaccolo – OpenNebulaConf 3 High-level architecture FIFO SCHEDULER XML-RPC INTERFACE fassd RPC PM TERMINATOR asynchronous modules asks queue queue - reorders queue - kills pending VMs (synchronous) - kills running VMs influxDB - nosql - holds internal data (initial priorities, historical usage, recalculated priorities) Algorithms - MultiFactor FaSS - stateless (no duplicated info in DB) - only handles queue
  • 5. Valentina Zaccolo – OpenNebulaConf 3 High-level architecture FIFO SCHEDULER XML-RPC INTERFACE FaSS fassd RPC PM TERMINATOR asynchronous modules queue - reorders queue - kills pending VMs (synchronous) - kills running VMs influxDB - nosql - holds internal data (initial priorities, historical usage, recalculated priorities) sendsqueue Algorithms - MultiFactor - stateless (no duplicated info in DB) - only handles queue
  • 6. 4 Performances Test with three users: initial shares configured in /etc/fass/shares.conf : [huey] uid=4 gid=1 share=50 [louie] uid=6 gid=1 share=25 [dewey] uid=5 gid=1 share=25 Periodically instatiates VMs for all 3 users Stops instantiating Louie Reaches configured shares Instantiates all 3 users again
  • 7. 4 Performances Test with three users: initial shares configured in /etc/fass/shares.conf : [huey] uid=4 gid=1 share=50 [louie] uid=6 gid=1 share=25 [dewey] uid=5 gid=1 share=25 Periodically instatiates VMs for all 3 users •  configurable TTL per user •  configurable terminator action •  test different algorithms •  … Stops instantiating Louie Instantiates all 3 users again Reaches configured shares