Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1853
Title: Cloud computing: A walk through in models, challenges, and energy solutions
Authors: Gupta N
Gupta K
Singh A
Kaur A
Gupta D.
Keywords: Cloud Computing
Energy Management
Virtualization
Bin-packing
VM migration.
Issue Date: 2021
Publisher: IOP Conference Series: Materials Science and Engineering
Abstract: The paradigm of cloud computing in recent times has engrossed a lot of working populace in its service stack offerings. This considerable rise of human traffic landing onto cloud platform for service extraction has consequently led to exponential rise in energy consumption during dynamic and heterogeneous workload situations encompassing huge cloud infrastructure in form of CPU, Hard Disks, network devices etc. The energy released not only poses costs on its stakeholders but is affecting the environment due to rise in carbon footprints. As per available stats [1], the total power consumption of cloud has significantly arisen from 632 billion kilowatt hours in year 2007 to 163 billion kilowatt hours in 2020 which is adequate to leave a devastating effect on environment. Though research is being carried out in this direction, still efficacious measures are far away from its pragmatic implementations. Therefore, the research study conducted here discusses about existing solutions in the direction of energy management in cloud computing. The latter half of paper presents abrief discussion on gaps and future directions.
URI: 10.1088/1757-899X/1022/1/012070
http://hdl.handle.net/123456789/1853
Appears in Collections:Conferences

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.