Virtual Machine Placement Based on Load Balancing and Power Consumption
DING Zhenqing
LIU Chi
XIONG Tinggang
Abstract：Aiming at virtual machine placement problem in the cloud computing environment ,load balancing and power consumption were selected as two objectives for multi-objective optimization .An extended Multi-Objective Ant Colony Opti-mization(MACO) algorithm was used to find the best solution set .According to the load balancing factor and power con-sumption normalized function defined in this paper ,the pheromone trail ,heuristic information ,pheromone trail update rules and state transition rules of MACO were redefined .The algorithm performance was simulated on Cloudsim and compared with FFD ,Grouping Genetic Algorithm and power consumption Single-Objective Ant Colony Optimization algorithm .The results showed that the MACO algorithm can effectively improve the system load balancing performance ,reduce the power consumption and realize the Multi-Objective Optimization .
Keywords：virtual machine placementmulti-objective optimizationant colony algorithmload balancingpower con-sumption
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1962-1967 )