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Cloud Computing Transformed IT Organizations With Its On-Demand Model, Notably Infrastructure as a Service (IaaS). Cloud Providers Manage Extensive Physical Devices, Consuming Substantial Energy and Bandwidth for Data Traffic During Virtual Machine D
Version 1
: Received: 2 February 2024 / Approved: 2 February 2024 / Online: 5 February 2024 (05:32:07 CET)
How to cite:
Biru, K. D. Cloud Computing Transformed IT Organizations With Its On-Demand Model, Notably Infrastructure as a Service (IaaS). Cloud Providers Manage Extensive Physical Devices, Consuming Substantial Energy and Bandwidth for Data Traffic During Virtual Machine D. Preprints2024, 2024020170. https://doi.org/10.20944/preprints202402.0170.v1
Biru, K. D. Cloud Computing Transformed IT Organizations With Its On-Demand Model, Notably Infrastructure as a Service (IaaS). Cloud Providers Manage Extensive Physical Devices, Consuming Substantial Energy and Bandwidth for Data Traffic During Virtual Machine D. Preprints 2024, 2024020170. https://doi.org/10.20944/preprints202402.0170.v1
Biru, K. D. Cloud Computing Transformed IT Organizations With Its On-Demand Model, Notably Infrastructure as a Service (IaaS). Cloud Providers Manage Extensive Physical Devices, Consuming Substantial Energy and Bandwidth for Data Traffic During Virtual Machine D. Preprints2024, 2024020170. https://doi.org/10.20944/preprints202402.0170.v1
APA Style
Biru, K. D. (2024). Cloud Computing Transformed IT Organizations With Its On-Demand Model, Notably Infrastructure as a Service (IaaS). Cloud Providers Manage Extensive Physical Devices, Consuming Substantial Energy and Bandwidth for Data Traffic During Virtual Machine D. Preprints. https://doi.org/10.20944/preprints202402.0170.v1
Chicago/Turabian Style
Biru, K. D. 2024 "Cloud Computing Transformed IT Organizations With Its On-Demand Model, Notably Infrastructure as a Service (IaaS). Cloud Providers Manage Extensive Physical Devices, Consuming Substantial Energy and Bandwidth for Data Traffic During Virtual Machine D" Preprints. https://doi.org/10.20944/preprints202402.0170.v1
Abstract
Cloud computing transformed IT organizations
with its on-demand model, notably Infrastructure
as a Service (IaaS). Cloud providers manage
extensive physical devices, consuming
substantial energy and bandwidth for data traffic
during virtual machine deployment. Balancing
energy and bandwidth are critical. This thesis
presents BOHGOA integrated with ACO to
optimize virtual machine placement in clouds,
simultaneously considering bandwidth and
energy. It yields Pareto-optimal solutions for this
trade-off. Using CloudSim, BOHGOA
outperformed GA, ACO, and FFD algorithms,
reducing bandwidth consumption by 54.14%,
32.11%, 57.47% (240 VMs) and 38.12%,
22.76%, 47.05% (500 VMs) respectively.
Additionally, it decreased physical machine
energy usage by 37.70%, 34.01%, 40.14% (240
VMs) and 27.50%, 22.28%, 30.52% (500 VMs)
respectively. These results underscore
BOHGOA's effectiveness in optimizing cloud
VM placement.
Keywords
cloud computing; data center; energy efficient virtual machine placement; physical machine
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
