Assessing the Power Cost of Virtualization Through Real-world Workloads

Tadesse, Senay Semu; Malandrino, Francesco; Chiasserini, Carla-Fabiana; Casetti, Claudio

doi:10.1109/lanman.2018.8475102

Cited by 2 publications

(2 citation statements)

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“…The switches are usually switched off or kept in sleeping mode to minimize the power consumption of the whole physical infrastructure, and they are moved to the active power states only when forwarding traffic for active flow connections. We refer the interested reader to [3] for a detailed description of such algorithms. The Power State Manager configures the power states via SNMP and it is automatically triggered by the Provisioning Manager, which selects the suitable states depending on traffic requirements as an integrated step of the connection setup procedure.…”

Section: Figure 3: Screenshot Of Power Consumption Monitoring Per Sermentioning

confidence: 99%

“…EMMAs are based on algorithms that provide a heuristic solution to an optimization problem for energy-efficient flow routing in the integrated backhaul/fronthaul network [3]. Furthermore, although it is outside the scope of this paper, the re-allocation of virtual functions across backhaul and fronthaul can be done as part of the optimization actions.…”

Section: Introductionmentioning

confidence: 99%

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Energy monitoring and management in 5G integrated fronthaul and backhaul

Abdullaziz

Capitani

Casetti

et al. 2017

2017 European Conference on Networks and Communications (EuCNC)

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Energy efficiency is likely to be the litmus test for the sustainability of upcoming 5G networks. Before the new generation of cellular networks are ready to roll out, their architecture designers are motivated to leverage the SDN technology for the sake of its offered flexibility, scalability, and programmability to achieve the 5G KPI of 10 times lower energy consumption. In this paper, we present Proofs-of-Concept of Energy Management and Monitoring Applications (EMMAs) in the context of three challenging, realistic case studies, along with a SDN/NFV-based MANO architecture to manage converged fronthaul/backhaul 5G transport networks.

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Section: Figure 3: Screenshot Of Power Consumption Monitoring Per Sermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%