Long-term workload phases: duration predictions and applications to DVFS

@article{Isci2005LongtermWP,
  title={Long-term workload phases: duration predictions and applications to DVFS},
  author={Canturk Isci and Alper Buyuktosunoglu and Margaret Martonosi},
  journal={IEEE Micro},
  year={2005},
  volume={25},
  pages={39-51}
}
Computer systems increasingly rely on adaptive dynamic management of their operations to balance power and performance goals. Such dynamic adjustments rely heavily on the system's ability to observe and predict workload behavior and system responses. The authors characterize the workload behavior of full benchmarks running on server-class systems using hardware performance counters. Based on these characterizations, they developed a set of long-term value, gradient, and duration prediction… CONTINUE READING
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