TY  - JOUR
T1  - A Task Scheduling Based on Hybrid Self Organizing
Migrating Algorithm in Cloud Environment
AU - Gomathi, B. AU - krishnasamy, Karthikeyan 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 19
SP  - 3703
EP  - 3707
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.3703.3707
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.3703.3707
KW  - Balance
KW  -load
KW  -cloudsim
KW  -resources
KW  -execute
AB  - 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.
ER  -