A Survey on Reducing Energy Sprawl In Cloud Computing
Malathi.P. Advanced Computational Intelligence: An International Journal (ACII), 2 (3):
7(July 2015)
DOI: 10.5121/acii.2015.2303
Abstract
Cloud computing is the cluster of autonomic computing, grid computing and utility computing. Cloud
providers are there to rescue their customers from the problem of dynamism. The providers focus on
resource sharing and in improving the performance. Energy consumption is the major factor to degrade the
performance. Reducing energy sprawl will bloom the performance. This paper delineates the different
techniques involved in scheduling the workload of the servers in order to minimize the energy sprawl.
%0 Journal Article
%1 noauthororeditor
%A Malathi.P,
%D 2015
%J Advanced Computational Intelligence: An International Journal (ACII)
%K Cloud Energy Task Virtual Virtualization computing consolidation consumption machine
%N 3
%P 7
%R 10.5121/acii.2015.2303
%T A Survey on Reducing Energy Sprawl In Cloud Computing
%U http://airccse.org/journal/acii/papers/2315acii03.pdf
%V 2
%X Cloud computing is the cluster of autonomic computing, grid computing and utility computing. Cloud
providers are there to rescue their customers from the problem of dynamism. The providers focus on
resource sharing and in improving the performance. Energy consumption is the major factor to degrade the
performance. Reducing energy sprawl will bloom the performance. This paper delineates the different
techniques involved in scheduling the workload of the servers in order to minimize the energy sprawl.
@article{noauthororeditor,
abstract = {Cloud computing is the cluster of autonomic computing, grid computing and utility computing. Cloud
providers are there to rescue their customers from the problem of dynamism. The providers focus on
resource sharing and in improving the performance. Energy consumption is the major factor to degrade the
performance. Reducing energy sprawl will bloom the performance. This paper delineates the different
techniques involved in scheduling the workload of the servers in order to minimize the energy sprawl.},
added-at = {2017-12-26T22:42:32.000+0100},
author = {Malathi.P},
biburl = {https://www.bibsonomy.org/bibtex/2a522059a5d42559aaf1e3d40ac20419b/janakirob},
doi = {10.5121/acii.2015.2303},
interhash = {af8ae76cc9205db080334392e852b8ac},
intrahash = {a522059a5d42559aaf1e3d40ac20419b},
issn = {2454 - 3934},
journal = {Advanced Computational Intelligence: An International Journal (ACII) },
keywords = {Cloud Energy Task Virtual Virtualization computing consolidation consumption machine},
language = {English},
month = {July},
number = 3,
pages = 7,
timestamp = {2017-12-26T22:42:32.000+0100},
title = {A Survey on Reducing Energy Sprawl In Cloud Computing },
url = {http://airccse.org/journal/acii/papers/2315acii03.pdf},
volume = 2,
year = 2015
}