Datacenter usage effectiveness evaluation with TCS and DCCE metrics

Nikita Kubov; Ivan Gorshechnikov; Maxim Solomonov; Tatiana Kolikova; Tatiana Samochadina

doi:10.1117/12.2680836

27 April 2023 Datacenter usage effectiveness evaluation with TCS and DCCE metrics

Nikita Kubov, Ivan Gorshechnikov, Maxim Solomonov, Tatiana Kolikova, Tatiana Samochadina

Proceedings Volume 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023); 126370E (2023) https://doi.org/10.1117/12.2680836
Event: International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 2023, Fergana, Uzbekistan

Abstract

The article is devoted to an automatic calculation approach for two important metrics for measuring the effectiveness of data center operations, named total cost of services (TCS) and data center compute efficiency (DCCE). The specification of required information to be gathered for metrics calculation is listed for both metrics. The software architecture that allows to perform TCS and DCCE metrics calculation is presented and implemented in the prototype tool. The results obtained from this experimental tool are presented for the TCS metric for a server on mock data, and for the DCCE metric for a single node represented by a loaded machine.

Citation Download Citation

Nikita Kubov, Ivan Gorshechnikov, Maxim Solomonov, Tatiana Kolikova, and Tatiana Samochadina "Datacenter usage effectiveness evaluation with TCS and DCCE metrics", Proc. SPIE 12637, International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023), 126370E (27 April 2023); https://doi.org/10.1117/12.2680836

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