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Reduced carbon emission and optimized power consumption technique using container over virtual machine

DOI:10.1007/s11276-019-02001-x
Authors:
Anusooya Govindarajan at VIT University
Anusooya Govindarajan
Vijayakumar Varadarajan
Vijayakumar Varadarajan
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Abstract and Figures

Environmental warning is caused by IT industry which critically leads the global pollution with huge amount of toxic carbon emission which is drastically increasing day by day due to demand and usage raised. Due to the environmental warning the industries are in awful need of reducing the carbon foot print by inducing green computing. This paper has achieved green computing by implementing two different algorithms (1) Water Shower Model (WSM) and (2) Trigger—WSM load balancing algorithms, and two different techniques (3) Recommending Containers over virtual machine techniques and 4. DVFS (Dynamic Voltage Frequency Scaling) modeling. The observation between the recommendation systems for container over virtual machine for a sample of four containers with one application each and four virtual machine with one application each is monitored for carbon emission equivalent in kg co2 for about 1 week is 14 kg co2 for container and 84.4 kg co2 for virtual machine, where a drastic difference in the amount of carbon emission is seen. So recommending container will be the best possible solution for the IT based on applications, by enforcing these ideas and techniques the carbon emission can be drastically decreased and the amount of carbon footprint in the atmosphere will also be reduced. The amount of power consumption utilized for the same model is 15.71367 W for container and 94.72667 W for virtual machine is also observed; in the field of IT the power consumption also to be taken into consideration for reducing carbon emission. The recommendation system along with the proposed algorithm will reduce the amount of carbon footprint in the environment.
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Reduced carbon emission and optimized power consumption
technique using container over virtual machine
G. Anusooya
1
•Varadarajan Vijayakumar
1
Published online: 14 May 2019
ÓSpringer Science+Business Media, LLC, part of Springer Nature 2019
Abstract
Environmental warning is caused by IT industry which critically leads the global pollution with huge amount of toxic
carbon emission which is drastically increasing day by day due to demand and usage raised. Due to the environmental
warning the industries are in awful need of reducing the carbon foot print by inducing green computing. This paper has
achieved green computing by implementing two different algorithms (1) Water Shower Model (WSM) and (2) Trigger—
WSM load balancing algorithms, and two different techniques (3) Recommending Containers over virtual machine
techniques and 4. DVFS (Dynamic Voltage Frequency Scaling) modeling. The observation between the recommendation
systems for container over virtual machine for a sample of four containers with one application each and four virtual
machine with one application each is monitored for carbon emission equivalent in kg co
2
for about 1 week is 14 kg co
2
for
container and 84.4 kg co
2
for virtual machine, where a drastic difference in the amount of carbon emission is seen. So
recommending container will be the best possible solution for the IT based on applications, by enforcing these ideas and
techniques the carbon emission can be drastically decreased and the amount of carbon footprint in the atmosphere will also
be reduced. The amount of power consumption utilized for the same model is 15.71367 W for container and 94.72667 W
for virtual machine is also observed; in the field of IT the power consumption also to be taken into consideration for
reducing carbon emission. The recommendation system along with the proposed algorithm will reduce the amount of
carbon footprint in the environment.
Keywords Container Virtual machine Power consumption Carbon emission Load balancing
1 Introduction
1.1 Green computing
Green computing is the art of designing an environment
friendly atmosphere without creating much of carbon
footprint in the ease of using Information Technology (IT)
[1–5]. In the current scenario or current IT world, nearly
most of them are into use of technologies where the impact
or urge of using these technologies will lead to the emis-
sion of toxic gases which is polluting the entire globe, but
still limiting usage of technology in this current smart
world is also not possible. Green computing drives us to
different standards and techniques were it reduces the
impact of carbon emission/carbon foot print [6] in the
environment.
1.2 Load balancing
When the usage of technology is increased drastically then
definitely the need to balance the load is a mandatory
requirement [1,7–13]. Load balancing is an art of sharing
the user’s request among various available services. The
main aim of load balancing is to check that there is no
delay or minimal delay in processing the user’s request,
instead of a long wait. Long wait during the processing of
request will leads to many critical issues like more power
consumption, more carbon emission, issues in security etc.
&G. Anusooya
anusooya.g@vit.ac.in
1
School of Computing Science and Engineering, Vellore
Institute of Technology, Chennai, Tamil Nadu, India
123
Wireless Networks (2021) 27:5533–5551
https://doi.org/10.1007/s11276-019-02001-x(0123456789().,-volV)(0123456789().,-volV)
Content courtesy of Springer Nature, terms of use apply. Rights reserved.
... As can be seen from the results based on power use and its equivalent carbon emission, this has been examined and proven with the application running on a container as well as the virtual machine. However, while combining both virtual machine and container [1] [2] strategies is advised, this study suggests containers as the ideal model for minimising power consumption and carbon emissions/carbon footprint, which is the current requirement of the industry. ...
... The analysis was done for two different phases. It was first tested with the minimal requirements and next was with maximum requirements for ROR and RWR Anusooya et al. (2019) [1] [2] applications. Power consumption is tested with PowerStat tool and its equivalent carbon emission was measured using AVERT online calculator by EPA -the United States Environmental Protection Agency. ...
... When less energy is consumed, power consumption will also gradually drop, as shown by the chart, making containers the best option for cutting down on carbon emissions. When utilising the virtual machine and container, there is a very [2] , which is the best method based on the successful results, is used to assess the container for Read-Only Request (ROR). The same application, which was calculated for 1 Day at 1440, was equivalent to 2 kg of CO2 for 4 containers with 1 application each, 3.2 kg for 1 virtual machine with 4 applications each, 3 kg for 1 virtual machine with 1 application, and 12.1 kg for 4 virtual machines with 1 application each, which is a significant amount. ...
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