A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Electricity Cost Aware Virtual Machine Placement Schemes in Distributed Cloud
In recent times, energy efficiency has become an important criterion considered by information and communication technology (ICT) infrastructure providers. This is largely motivated by economic and environmental reasons. By leveraging on technological advancements, it is possible to accomplish desired energy efficiencyimprovementsin the ICT industry. This paper leverages on the virtualization concept (behind the success of cloud computing) and time of usage concept (enabled by smart grid technology) to reduce non-renewable power consumption and total electricity cost of cloud and network infrastructure providers. A mixed integer linear programming (MILP) model was developed to study the impact of varying electricity prices across time zones on the placement of virtual machine (VM) clusters in distributed clouds connected via internet protocol over wavelength division multiplexing (IP over WDM) core network. Results showed that VMclusters are placed at nodes with the cheapest electricity for the three VM cluster placement schemes considered. These results are achieved at the expense of increased non-renewable power consumption and electricity cost in the IP over WDM core network.
Electricity Cost Aware Virtual Machine Placement Schemes in Distributed Cloud
In recent times, energy efficiency has become an important criterion considered by information and communication technology (ICT) infrastructure providers. This is largely motivated by economic and environmental reasons. By leveraging on technological advancements, it is possible to accomplish desired energy efficiencyimprovementsin the ICT industry. This paper leverages on the virtualization concept (behind the success of cloud computing) and time of usage concept (enabled by smart grid technology) to reduce non-renewable power consumption and total electricity cost of cloud and network infrastructure providers. A mixed integer linear programming (MILP) model was developed to study the impact of varying electricity prices across time zones on the placement of virtual machine (VM) clusters in distributed clouds connected via internet protocol over wavelength division multiplexing (IP over WDM) core network. Results showed that VMclusters are placed at nodes with the cheapest electricity for the three VM cluster placement schemes considered. These results are achieved at the expense of increased non-renewable power consumption and electricity cost in the IP over WDM core network.
Electricity Cost Aware Virtual Machine Placement Schemes in Distributed Cloud
Ajibola, Opeyemi (author) / Adebusuyi, Kehinde (author) / Omoleye, Taiwo (author)
2016-09-30
doi:10.46792/fuoyejet.v1i1.6
FUOYE Journal of Engineering and Technology; Vol 1, No 1 (2016): FUOYE Journal of Engineering and Technology, Vol. 1 Iss 1 ; 2579-0625 ; 2579-0617
Article (Journal)
Electronic Resource
English
DDC:
690
| DOAJ | 2020