Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Ashish Kumar Trivedi
Ajay Kumar Bharti
2020-04-30
<p>Cloud computing is to compute a task assigned to a set of connections, software and services that can be utilized by the user over a network. The trending need of Cloud infrastructure has drastically scale up the energy need of data centers, which has become a critical issue. In the row also lead to high carbon emission which is not environment friendly so there is a need of energy efficient approach in cloud computing The research paper aims to reach a theoretical notion of sustainable development with proposing an incentive for reducing global warming through effective clustering techniques and methods. This paper aims to reduce cloud events by applying map reduce on large event clusters formed in cloud. The purpose of the paper is to develop a better methodology for handling the events of cloud computing and possibly clustering and reducing the similar types of events. This approach might lead to the reduction of carbon-dioxide gas (which is a greenhouse gas) by less usage of servers in cloud data centers. With the advent of IT services in cloud computing energy consumption it is necessary for the developing technology to progress towards sustainable development rather thrashing and harnessing energy from every possible means.</p>
https://doi.org/10.35940/ijeat.C6091.049420
oai:zenodo.org:5555772
eng
Zenodo
issn:2249-8958
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
International Journal of Engineering and Advanced Technology (IJEAT), 9(4), 744-749, (2020-04-30)
Cloud Computing, Clustering, Cloud Data centers, Clustering Algorithms, K-Means Clustering, Map-Reduce, Resource Identification and Clustering.
An Event Diminishment Model to Optimize Cloud Environment
info:eu-repo/semantics/article