Renewable energy source based quality of service (QoS)-aware routing mechanism in cloud network

Cloud computing spreading in such a tremendous way that the energy consumption of the network and computing resources causes the emission of enormous quantities of CO 2 to the environment that force to manage energy consumption. Here, we propose modified sun-and-wind energy-aware routing (MSWEAR) ne...

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Bibliographic Details
Published in:Wireless networks 2022-05, Vol.28 (4), p.1703-1718
Main Authors: Bhoi, Ashok Kumar, Kabat, Manas Ranjan, Nayak, Suvendu Chandan, Palai, Gopinath
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Carbon dioxide
Cloud computing
Communications Engineering
Computer Communication Networks
Data centers
Electrical Engineering
Emissions control
Energy consumption
Energy management
Energy resources
Engineering
IT in Business
Networks
Optimization
Original Paper
Quality of service
Quality of service architectures
Renewable energy sources
Renewable resources
Wind power
Wireless networks
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Summary:Cloud computing spreading in such a tremendous way that the energy consumption of the network and computing resources causes the emission of enormous quantities of CO 2 to the environment that force to manage energy consumption. Here, we propose modified sun-and-wind energy-aware routing (MSWEAR) new cloud network model and routing algorithm to find the location of Data Center (DC) geographically. So, the data can be moved efficiently and effectively which will hamper the environment lesser than the usage of non-renewable energy sources. An effort has been put to balance the delay versus low energy consumption among DC of cloud to optimize the CO 2 emission. The proposed mechanism improves the QoS through optimizing cost, load, and minimizing the reduction of carbon (emission of CO 2 ). We have tried to derive an ideal network based on MSWEAR algorithm to maximize the DCs usage of renewable energy sources and studied the performances. Our proposed mechanism is compared with the benchmark mechanisms and found performing better in its class.
ISSN:1022-0038
1572-8196
DOI:10.1007/s11276-022-02935-9