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Tuned npb is workload resources

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Lowering the amount of cpu allocated to this workload will set the
resources allocated to be similar to the other npb and tf workload in
this tests.
This will also allow to run all three workloads in a n1-standard-12 gcp
instance - which has 16 cpus and 60 GB.

Signed-off-by: alejandrox1 <alarcj137@gmail.com>
This commit is contained in:
alejandrox1 2020-05-22 09:30:43 -04:00
parent 60559bc919
commit ebd84a5517
1 changed files with 2 additions and 2 deletions
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4
test/e2e_node/perf/workloads/npb_is.go
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@ -44,11 +44,11 @@ func (w npbISWorkload) PodSpec() v1.PodSpec {
Image: "gcr.io/kubernetes-e2e-test-images/node-perf/npb-is:1.0",
Resources: v1.ResourceRequirements{
Requests: v1.ResourceList{
v1.ResourceName(v1.ResourceCPU): resource.MustParse("16000m"),
v1.ResourceName(v1.ResourceCPU): resource.MustParse("15000m"),
v1.ResourceName(v1.ResourceMemory): resource.MustParse("48Gi"),
},
Limits: v1.ResourceList{
v1.ResourceName(v1.ResourceCPU): resource.MustParse("16000m"),
v1.ResourceName(v1.ResourceCPU): resource.MustParse("15000m"),
v1.ResourceName(v1.ResourceMemory): resource.MustParse("48Gi"),
},
},