EconPapers    
Economics at your fingertips  
 

A Survey on Cloud Applications

J. Preethi and N. Aswathy

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2017, vol. 2, issue 2, 10-17

Abstract: The numbers of users accessing the cloud datas are rising day by day. Clouds are based on data centers, which are powerful to handle large number of users, who can access anytime and anywhere. Data centers consumes huge amount of energy leads to increase the cost and carbon emission. Large number of data centers is easy to built, but not good for environment. The business community has begun to embrace cloud computing as a viable option to reduce the costs and to improve IT and business agility. Many techniques had been proposed in order to reduce the environmental impact of cloud application. In an existing system presented an approach to minimize the environmental impact of cloud-based application considering of its entire life cycle. An adaption mechanism derived by an adaption controller that reduces the CO2 emission. Application Controller decides when to apply an adaptation strategy and decides the strategy most suitable for the given context is called as adaptation strategy selection which reduces the environmental impact and computation time and increases the performance in cloud applications. So we can prevent the air pollution by minimize the amount of CO2 in air. In this paper we discussed various existing work related to reduce the CO2 emission in cloud applications. By using high performance cloud environment co2 emission can be reduced and the performance also improved without an environmental impact.

Keywords: CO2 Emission; Adaptation Strategy; Virtual Machine; Cloud Computing (search for similar items in EconPapers)
Date: 2017
Note: Article URL: https://ijsrcseit.com/CSEIT172154
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/CSEIT172154 Article URL (text/html)
https://ijsrcseit.com/paper/CSEIT172154.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit172154

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma ().

 
Page updated 2026-09-29
Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit172154