EACCS 2014 - Evolutionary algorithms for Cloud computing systems

volutionary algorithms for Cloud computing systems
in conjunction with
The 6th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2014)
Time: April 7 - 9, 2014, Bangkok, Thailand
Website: http://www.ic.kmitl.ac.th/aciids2014/
Chairs:
E-G. Talbi (Université Lille, INRIA, France)
P. Bouvry (Université du Luxembourg, Luxembourg)
Abstract
Cloud computing systems represent an emerging technology which allows users to pay as you need using high performance computing systems. Cloud computing is generally a heterogeneous system as well and it holds large amount of application programs and data.
Many difficult and complex optimization and learning problems arise in Cloud computing systems. This session seeks to promote novel research works using evolutionary algorithms to solve such problems. The following (but not limited to) issues of interest are:
Scheduling in Cloud computing
Optimization of public, private and hybrid cloud computing systems
Learning application demands
Pricing mechanisms in Cloud computing systems
Cloud computing architecture
Evolutionary algorithms and metaheuristics on Clouds
Virtualization of resources
Maintenance and management of Cloud computing
Provisional Program committee
A. Zomaya (Univ. Sydney, Australia)
B. Dorronsoro (Univ. Luxembourg, Luxembourg)
N. Melab (Univ. Lille, France)
E. Alba (University of Málaga, Spain)
T. El-Ghazawi (George Washington University, USA)
S. U. Khan (North Dakota State University, USA)
J. Kolodziej (Cracow University of Technology, Poland)
A. Lewis (Griffith University, Australia)