We study average performance and costs for routing service requests in a virtualized environment, where either the MEC or the Cloud can serve user's requests. Employing a simple yet precise analytical model validated via simulation, we focus on latency, service request losses, energy consumption, and provider utility. The model is very effective in providing insight and guidelines for setting up server selection strategies with different characteristics (e.g., energy consumption, penalties, etc.) and performance requirements. In particular, our results show that the MEC is latency-efficient but incurs higher costs than Cloud, and then, to make its use sustainable, it is desirable that the MEC server is powered with renewable source energy.

Mancuso, V., Castagno, P., Sereno, M. (2021). Efficiency of Virtualization over MEC plus Cloud. In e-Energy 2021 - Proceedings of the 2021 12th ACM International Conference on Future Energy Systems (pp. 322-327). Association for Computing Machinery, Inc [10.1145/3447555.3465325].

Efficiency of Virtualization over MEC plus Cloud

Mancuso V.;
2021-06-01

Abstract

We study average performance and costs for routing service requests in a virtualized environment, where either the MEC or the Cloud can serve user's requests. Employing a simple yet precise analytical model validated via simulation, we focus on latency, service request losses, energy consumption, and provider utility. The model is very effective in providing insight and guidelines for setting up server selection strategies with different characteristics (e.g., energy consumption, penalties, etc.) and performance requirements. In particular, our results show that the MEC is latency-efficient but incurs higher costs than Cloud, and then, to make its use sustainable, it is desirable that the MEC server is powered with renewable source energy.
giu-2021
9781450383332
Mancuso, V., Castagno, P., Sereno, M. (2021). Efficiency of Virtualization over MEC plus Cloud. In e-Energy 2021 - Proceedings of the 2021 12th ACM International Conference on Future Energy Systems (pp. 322-327). Association for Computing Machinery, Inc [10.1145/3447555.3465325].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/705002
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