Optimized cloud placement of virtual clusters using biased importance sampling
We introduce an algorithm for the placement of constrained, networked virtual clusters in the cloud, that is based on importance sampling (also known as cross-entropy). Rather than using a straightforward implementation of such a technique, which proved inefficient, we considerably enhance the metho...
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Veröffentlicht in: | Performance evaluation review 2012-06, Vol.40 (1), p.401-402 |
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Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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