IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Energy Efficient Load Management of Data Center for Green Cloud computing: A Survey


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International Journal for Innovative Research in Science & Technology
Volume 3 Issue - 3
Year of Publication : 2016
Authors : Prerna Kesarwani ; Mr. Mahboob Alam

BibTeX:

@article{IJIRSTV3I3041,
     title={Energy Efficient Load Management of Data Center for Green Cloud computing: A Survey},
     author={Prerna Kesarwani and Mr. Mahboob Alam},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={3},
     pages={117--120},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I3041.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

Cloud computing has changed the way in which people use the IT resources today. Now, instead of buying their own IT resources, they can use the services offered by Cloud Computing with reasonable costs based on a “pay-per-use” model. Cloud computing is an accumulation community based solutions offering you with on-demand, ubiquitous, convenient system access to a shared pool of configurable computing resources that may be rapidly provisioned and released in an easy and universal means with reduced management effort or Cloud Service Provider interaction. It offers solution that is new with additional resource that is efficient, on-demand scalability, and price decrease for organizations. Cloud computing has quickly evolved through various phases that consist of grid and utility computing and application service provisioning. These solutions are scaled along with regards to the client’s adjustable operation’s needs, ensuring maximum price efficiency. Cloud computing can enable more use that is energy-efficient of energy, especially whenever the computing tasks are of low infrequent or intensity. In this work we gave the architecture for green cloud the main advantageous asset of this architecture is emission that is co2, this directory steps the best solution that is suitable gives less carbon emission so instantly it indicates that energy will also decrease because Co2 emission and energy consumption both are straight proportionate to at least one another. Likewise, the disadvantage is that only emission that is energy that is CO2 isn't the factor become under consideration like Quality Provisioning, Security, etc.


Keywords:

Green Cloud Computing, Energy Conservation, Dynamic Voltage Frequency Scaling


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