HIGHLIGHTS
- who: LICENSE and colleagues from the provider could bet on their availability during operation to help reduce degradation, thus potentially lowering the amount of needed request CPUsIII. N UMERICAL R ESULTS In order to evaluate the benefits of using limit resources while solving the Pod dimensioning problem, we developed a custom framework written in Python. The framework reproduces the HPA behavior explained in the previous section, with the following general assumptions. We assume a discrete amount of time instants in which we evaluate the service provider CPU demand, to be divided among the active Pods. We discretize . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.