Author
Listed:
- Karishma Arora
- Rachana Sharma
Abstract
Green Cloud is an idea that contributes towards faster digital computational unit with low access cost by an eco-friendly means. Green revolution promotes the use of available resources in environment friendly way and Cloud technology offers storage, database, networking, software, analytics and many more services to its customers on Pay-As-You-Go basis. In today’s scenario, technology is moving largely towards cloud. There is a drift of big as well as small businesses on cloud. With this alteration, there arises a need to go green, as there is lot of carbon footprints and emissions with the use of electronic devices like laptops, standalone PCs, servers etc. The focus of green technology is to minimize the computational costs along with saving the substantial energy consumption and effective utilization of such devices. Green Cloud Computing is an approach towards promoting the green concept in cloud technology. This paper highlights the need to switch to green technology and provides various ways by which it can be attained. The emphasis is on the use of Green Cloud with a mention of its architecture and usefulness, which probably would optimize the performance of cloud without harming the environment. The study is based on the work done by various scientists working in data centers concluding that there is a need of getting green with cloud technology.
Suggested Citation
Karishma Arora & Rachana Sharma, 2023.
"A Review on Green Cloud Computing as a Step towards Promoting Sustainable and Eco-Friendly Computational Approach,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 9(2), pages 608-612, April.
Handle:
RePEc:jbh:ijsrcs:v9:y2023:i2:id:hcseit2390290
DOI: 10.32628/CSEIT2390288
Note: Article URL: https://ijsrcseit.com/CSEIT2390290
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v9:y2023:i2:id:hcseit2390290. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.