Context aware workload management using fingerprints

Understanding application behavior has been a key source of insight for striking a balance between reducing operational cost while improving the workload performance. Contentiously observing the workloads in the data center allows for getting a good understanding of how workloads performs in a given data center/context.

By fingerprinting especially the network and the flows between VMs we want to be able to make better placement and re-balancing decisions. The fingerprints including information of how entities are connected can hence be analyzed and resulting models/heuristics describing e.g. better deployment options (based on e.g. hardware features) or migrations suggestions etc. The heuristics can hence influence the strategy for doing optimal service delivery with a special focus on network.