RT Conference Proceedings
T1 Evaluation of two-phase virtual machine placement algorithms for green cloud datacenters
A1 López, Fabio
A1 Barán Cegla, Benjamín
A1 Pereira, Carolina
A1 Velázquez, Marcelo
A1 González, Osvaldo Miguel
A2 Universidad Nacional del Este - Facultad Politécnica
AB Cloud Computing Datacenters represent a power-intensive industry with well-known economical and ecological challenges. This work focusses on Virtual Machine Placement (VMP) problems as a valid alternative to address mentioned challenges. An experimental evaluation of 36 VMP optimization algorithms for power consumption minimization is presented. Algorithms were evaluated under uncertainty of 4 different dynamic parameters, considering 400 experimental scenarios and taking into account an average objective function cost as evaluation criterion. Experimental results indicate that two-phase algorithms considering prediction-based VMPr Triggering and update-based VMPr Recovering methods are best suited for power consumption minimization.
YR 2019
FD 2019
LK http://hdl.handle.net/20.500.14066/3884
UL http://hdl.handle.net/20.500.14066/3884
LA eng
NO CONACYT – Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 24-dic-2024