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Conference Papers Year : 2016

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

Abstract

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.
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Dates and versions

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

Identifiers

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

Cite

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⟩
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