Reference : Computational Intelligence for Cloud Management Current Trends and Opportunities
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/10159
Computational Intelligence for Cloud Management Current Trends and Opportunities
English
Tantar, Alexandru-Adrian mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Nguyen, Anh Quan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Dorronsoro, Bernabe mailto []
Talbi, El-Ghazali mailto []
21-Jun-2013
8
Published in:
Evolutionary Computation (CEC), 2013 IEEE Congress on

Date of Conference: 20-23 June 2013

Page(s):
1286 - 1293
E-ISBN :
978-1-4799-0452-5
Print ISBN:
978-1-4799-0453-2
INSPEC Accession Number:
13672114
Conference Location :
Cancun
Digital Object Identifier :
10.1109/CEC.2013.6557713
Yes
Yes
International
Evolutionary Computation (CEC), 2013 IEEE Congress on
20-23 June 2013
IEEE
Cancun
Mexico
[en] The development of large scale data center and cloud computing optimization models led to a wide range of complex issues like scaling, operation cost and energy efficiency. Different approaches were proposed to this end, including classical resource allocation heuristics, machine learning or stochastic optimization. No consensus exists but a trend towards using many-objective stochastic models became apparent over the past years. This work reviews in brief some of the more recent studies on cloud computing modeling and optimization, and points at notions on stability, convergence, definitions or results that could serve to analyze, respectively build accurate cloud computing models. A very brief discussion of simulation frameworks that include support for energy-aware components is also given.
Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg
FNR ; CNRS
Researchers ; Students
http://hdl.handle.net/10993/10159
10.1109/CEC.2013.6557713
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6557713&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6557713

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