Figure 4 - uploaded by Georgios Andreadis
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Abstraction of a capacity planning portfolio, consisting of a base scenario, a number of candidate scenarios, and comparison targets.
Source publication
Cloud datacenters provide a backbone to our digital society. Inaccurate capacity procurement for cloud datacenters can lead to significant performance degradation, denser targets for failure, and unsustainable energy consumption. Although this activity is core to improving cloud infrastructure, relatively few comprehensive approaches and support to...
Contexts in source publication
Context 1
... this section, we propose a new abstraction, which organizes multiple scenarios into a portfolio (see Figure 4). Each portfolio includes a base scenario, a set of candidate scenarios given by the user and/or suggested by Capelin, and a set of targets to compare scenarios. ...
Context 2
... also observe performance degrading with increasing public workload fraction (see Figure 34c, §D), calling for a different topology or more sophisticated provisioning policy to address the differing needs of this new workload. We see that horizontal volume expansion ( ) provides the best performance in the majority of workload transition scenarios. ...
Context 3
... this section, we propose a new abstraction, which organizes multiple scenarios into a portfolio (see Figure 4). Each portfolio includes a base scenario, a set of candidate scenarios given by the user and/or suggested by Capelin, and a set of targets to compare scenarios. ...
Context 4
... also observe performance degrading with increasing public workload fraction (see Figure 34c, §D), calling for a different topology or more sophisticated provisioning policy to address the differing needs of this new workload. We see that horizontal volume expansion ( ) provides the best performance in the majority of workload transition scenarios. ...
