Minimizing energy consumption of smart grid data centers using cloud computing

Tayeb, Shahab; Mirnabibaboli, Miresmaeil; Chato, Lina; Latifi, Shahram

doi:10.1109/ccwc.2017.7868468

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…An interactive online algorithm is designed to reduce the time average expected energy cost. In [30], distributed computing amongst an array of data centres is employed to control and reduce the consumption of energy in a smart grid computational system. An investigation into the issue of long-term energy cost in a data centre considering battery life and diverse service delay guarantees for delay-tolerant requests was document in the authors' work in [31].…”

Section: Related Workmentioning

confidence: 99%

Energy management in a cloud‐based cyber‐physical system

Orumwense

Abo-Al-Ez

2021

IET cyber-phys. syst.

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Cyber-physical systems (CPSs) are embodied systems of highly unified computational, control and communicational elements tightly fused with the physical world. Normally, CPSs are seen to have limited storage and computational abilities due to the fact that they are implemented across several platforms and also embedded into larger systems. The fusion of Cloud computing and CPS gives rise to Cloud-based CPS; Cloud computing will no doubt provide numerous opportunities for CPSs to increase their capabilities by taking advantage of the resources (applications, servers, storage and network capabilities). With this new addition, there will definitely be an increase in energy consumption in the system and this becomes a huge and daunting task that needs to be overcome in actualising this goal. Here, the energy consumption in the network system is being evaluated to ensure an effective data transmission amongst sensor nodes. A simulation environment is considered where a particle swarm optimization algorithm is introduced to optimise and balance the consumption of energy in the system network. To ensure an energyefficient Cloud data control center, an energy consumption model is developed based on resource utilisation. This, however, assists in managing the amount of resources to be utilised for a specific amount of workload.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Related Workmentioning

confidence: 99%