Abstract
Energy usage is becoming a challenge for the design of next generation large scale distributed systems. This paper explores an innovative approach of profiling such systems. It proposes a DNA-like solution without making any assumptions on the running applications and used hardware. This profiling based on internal counters usage and energy monitoring allows to isolate specific phases during the execution and enables some energy consumption control and energy usage prediction. First experimental validations of the system modeling are presented and analyzed.
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Chetsa, G.L.T., Lefevre, L., Pierson, JM., Stolf, P., Da Costa, G. (2012). DNA-Inspired Scheme for Building the Energy Profile of HPC Systems. In: Huusko, J., de Meer, H., Klingert, S., Somov, A. (eds) Energy Efficient Data Centers. E2DC 2012. Lecture Notes in Computer Science, vol 7396. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33645-4_13
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DOI: https://doi.org/10.1007/978-3-642-33645-4_13
Publisher Name: Springer, Berlin, Heidelberg
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