10.35940/ijeat.C6091.049420
https://zenodo.org/records/5555772
oai:zenodo.org:5555772
Ashish Kumar Trivedi
Ashish Kumar Trivedi
Research Scholar, Department of Computer Science, MUIT, Lucknow, (U.P.), India.
Ajay Kumar Bharti
Ajay Kumar Bharti
Professor, Department of Computer Science, MUIT, Lucknow, (U.P.), India.
An Event Diminishment Model to Optimize Cloud Environment
Zenodo
2020
Cloud Computing, Clustering, Cloud Data centers, Clustering Algorithms, K-Means Clustering, Map-Reduce, Resource Identification and Clustering.
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)
Publisher
2020-04-30
eng
2249-8958
Creative Commons Attribution 4.0 International
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.