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The automatic discovery of dependencies in distributed Cloud applications is very useful for large scale deployments. Dependencies can be used to identify the anomalies due to errors, failures or the performance bottleneck in applications. Although existing dependency models can be useful, we believe more comprehensive dependency model would improve anomaly detection in large scale distributed applications...
Maximizing consolidation ratio, the number of virtual machines (VMs) in a physical machine, without violating customers' SLAs is an important goal in the cloud. We show that it is difficult to achieve this goal with existing hypervisor schedulers. The schedulers control only the amount of resource allocation, but not the sequence of VM execution. This sequence can significantly impact the response...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.