Multi-resource characterization and their (in)dependencies in production datacenters

Performance studies on datacenter usage are usually limited (and perhaps even biased) due to the scale of the respective studies. In this paper, we present an extensive field study of several in-production datacenters that have been observed during a two-year time period. We present an extensive workload characterization study that sheds lights on the primary features of typical datacenter workloads, by focusing on how basic resources such as CPU, memory, and disk are used and their inter-dependencies across time. The outcome of this field study are baseline workloads that can be used to model, calibrate, manage, and plan resource management of future datacenters.