Authors : B. Gomathi and Karthikeyan krishnasamy
Abstract: Cloud computing aspires to share a pool of virtualized resources. On the contrary, Task scheduling is an indispensable issue in cloud computing. To map the tasks of users to virtualized resources, this study advises Hybrid V-SOMA (Self Organizing Migrating Algorithm and Variable Neighborhood Search) algorithm to balance the load of the virtualized resources in the process of task scheduling. On bottom of the simulation results produced by cloudsim, this algorithm can drastically reduce the makespan of task scheduling as well as execute the good load balancing compared to other scheduling algorithms like PSO,SOMA etc.
B. Gomathi and Karthikeyan krishnasamy, 2016. A Task Scheduling Based on Hybrid Self Organizing Migrating Algorithm in Cloud Environment. Asian Journal of Information Technology, 15: 3703-3707.