Experimental Evaluation of Speed Scaling Systems

Date
2016
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Abstract
Speed scaling policies are a critical component in modern operating systems, impacting both energy efficiency and performance. Energy efficiency is important from a sustainability standpoint, especially since datacenters account for roughly 2% of the global energy consumption, growing by 6% per year. Understanding the features of modern processors facilitates the development of more effective policies. As a first contribution, this thesis provides such information, along with the details necessary to properly interpret experimental measurement results. The second contribution is a profiler that makes it easy to perform controlled workloads made up of precise units of work at defined speeds, and produces high-resolution timing and energy measurement data broken down by process and workload. The profiler is used to collect empirical data about several theoretical speed scaling policies using a modern processor, with detailed analysis and comparisons to the most common policy on contemporary operating systems.
Description
Keywords
Computer Science
Citation
Skrenes, A. B. (2016). Experimental Evaluation of Speed Scaling Systems (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26057