Resource Allocation and Energy Consumption in Cloud Computing - John, Leo
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Data storage in the past required a huge amount of management and resources. Due to the enormous use of the internet in a decentralized environment, new techniques and systems have been urgently needed to manage information smartly through valuable data and information. Cloud computing is an evolving Internet-based computing model which aims to provide many on-demand services that almost all online users are seeking nowadays. The massive growth of cloud computing results in enormous energy usage and carbon footprints being published as data centers are hosted by a large number of servers. The…mehr

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Produktbeschreibung
Data storage in the past required a huge amount of management and resources. Due to the enormous use of the internet in a decentralized environment, new techniques and systems have been urgently needed to manage information smartly through valuable data and information. Cloud computing is an evolving Internet-based computing model which aims to provide many on-demand services that almost all online users are seeking nowadays. The massive growth of cloud computing results in enormous energy usage and carbon footprints being published as data centers are hosted by a large number of servers. The cloud service providers are now looking for environmentally friendly solutions to reduce energy consumption and carbon emissions. As a result, task scheduling has highlighted the importance of efficient use of resources and minimal energy consumption. This paper gives an overview of resource allocation energy consumption techniques used in cloud computing.
Autorenporträt
Dr. Leo John is currently working as an Independent Research Associate, consultant and Visiting Professor at private arts and science Colleges. He delivers seminars and major workshops on various programming languages and tries to enhance the software skills of the students. As a research consultant, he published many articles in reputed Journals.