Abstract
This paper is devoted to an actual concept of “Green IT” with the background of the “hardcore” resource consuming applications. The given work discusses the energy efficient constructions for computing centres and clusters, which provide optimisation of performance as well as PW, PUE and ERE factors. The following both approaches are examined: 1) workload consolidation and intelligent VM migration; 2) optimisation of the cooling process (guaranteeing PUE) and energy recycling (guaranteeing ERE and CO\(_2\) footprint reduction). The optimal ERE within the data centres and computing clusters provides advanced resource-consuming distributed applications like pharmacology simulations, Big Data analytics, Blockchain, crypto-currency mining.
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Notes
- 1.
The data was provided by Google in 2009. Since then, the efficiency of data centres surely has increased. Nevertheless, it definitely debunks a often stated “1 h per search”-claim to be found in the Internet and many publishing media.
- 2.
Live Time Migration: the VM remains active while it is migrated during run-time. Service interruptions are minimised, ideally not occurring at all.
- 3.
As of 18 April 2020.
- 4.
National average calculated by the German Federal Grid Agency. Given price represents average as of 17 April 2020.
- 5.
Such as hydro-electric power in Norway, or geothermal power in Iceland. Both locations are favoured by many crypto-currency mining operations.
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Acknowledgement
The authors thank the colleagues and students at BA Dresden (namely, L. Zipfel and N. Liebich), CLOUD&HEAT Technologies GmbH (namely, J. Struckmeier and M. Feldmann), IBH IT-Services GmbH (namely, T. Horn), and current and former colleagues at the Chair of Computer Networks at TU Dresden (namely, A. Schill, D. Gütter, and K Rybina).
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Luntovskyy, A., Hara, T. (2022). Green IT: Energy Efficient Constructions and Applications for Data Centers and Clusters. In: Choraś, M., Choraś, R.S., Kurzyński, M., Trajdos, P., Pejaś, J., Hyla, T. (eds) Progress in Image Processing, Pattern Recognition and Communication Systems. CORES IP&C ACS 2021 2021 2021. Lecture Notes in Networks and Systems, vol 255. Springer, Cham. https://doi.org/10.1007/978-3-030-81523-3_29
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DOI: https://doi.org/10.1007/978-3-030-81523-3_29
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