- author = "Juan C. {Salinas Hilburg} and Marina Zapater and Jose L. Risco Martin and Jose M. Moya and Jose L. Rodrigo",
- booktitle = "2015 Ninth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)",
- title = "Using Grammatical Evolution Techniques to Model the Dynamic Power Consumption of Enterprise Servers",
- year = "2015",
- pages = "110--117",
- month = jul,
- keywords = "genetic algorithms, genetic programming, Grammatical Evolution",
-
DOI = "
doi:10.1109/CISIS.2015.16",
- abstract = "The increasing demand for computational resources has led to a significant growth of data centre facilities. A major concern has appeared regarding energy efficiency and consumption in servers and data centres. The use of flexible and scalable server power models is a must in order to enable proactive energy optimisation strategies. This paper proposes the use of Evolutionary Computation to obtain a model for server dynamic power consumption. To accomplish this, we collect a significant number of server performance counters for a wide range of sequential and parallel applications, and obtain a model via Genetic Programming techniques. Our methodology enables the unsupervised generation of models for arbitrary server architectures, in a way that is robust to the type of application being executed in the server. With our generated models, we are able to predict the overall server power consumption for arbitrary workloads, outperforming previous approaches in the state-of-the-art.",
-
notes = "Electron. Eng. Dept., Univ. Politec. de Madrid,
Madrid, Spain
Also known as \cite{7185174}",
