Diagnosing Data Center Behavior Flow by Flow

Multi-tenant data centers are complex environments, running thousands of applications that compete for the same infrastructure resources and whose behavior is guided by (sometimes) divergent configurations. Small workload changes or simple operator tasks may yield unpredictable results and lead to expensive failures and performance degradation. In this paper, the authors propose a holistic approach for detecting operational problems in data centers. Their framework, FlowDiff, collects information from all entities involved in the operation of a data center - applications, operators, and infrastructure - and continually builds behavioral models for the operation.

Provided by: University of Idaho Topic: Virtualization Date Added: Apr 2013 Format: PDF

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