Efficient Energy Sources Scheduling in Green Powered Datacenters: A Cloudsim Implementation - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Efficient Energy Sources Scheduling in Green Powered Datacenters: A Cloudsim Implementation

Résumé

In this paper we address the issue of managing different energy sources which supply green powered datacenters. The sources are scheduled based on a priority scheme, aiming to maximize the renewable energy utilization, minimize the energy used from the grid and optimize battery usage. Dynamic power capping technique is used to put a threshold on the drawn energy from the grid. The algorithm is implemented and tested in CloudSim simulator. Renewable energy is considered as solar energy. A workload scheduling algorithm is already implemented for higher renewable energy utilization. The results show that the proposed scheme is efficient and it is a promising direction in the field of the optimization in datacenters using renewable energy.
Fichier principal
Vignette du fichier
sheme_19036.pdf (256.92 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01873794 , version 1 (13-09-2018)

Identifiants

  • HAL Id : hal-01873794 , version 1
  • OATAO : 19036

Citer

Enida Sheme, Patricia Stolf, Georges da Costa, Jean-Marc Pierson, Neki Frasheri. Efficient Energy Sources Scheduling in Green Powered Datacenters: A Cloudsim Implementation. 3rd International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016), Oct 2016, Sofia, Bulgaria. pp. 45-50. ⟨hal-01873794⟩
122 Consultations
80 Téléchargements

Partager

Gmail Facebook X LinkedIn More