TY  - JOUR
T1  - A Methodological Survey on Load Balancing Techniques in Cloud Computing
AU - Shameem, P. Mohamed AU - Shaji, R.S. 
JO  - Asian Journal of Information Technology
VL  - 12
IS  - 5
SP  - 160
EP  - 169
PY  - 2013
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2013.160.169
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2013.160.169
KW  - Cloud computing
KW  -load balancing
KW  -response time
KW  -performance
KW  -resource allocation
KW  -scheduling
AB  - Cloud computing offers a variety of dynamic flexible resources to expedite the processing of large scale tasks in pay by use manner to public. In that, resource distribution and the effective load balancing among the available resources in heterogeneous environment is a major concern. Load balancing is employed across different data centers in order to establish network availability and to increase the network capacity. Moreover, the method is required to allocate dynamic workloads equally to all the nodes across cloud network. Proper load balancing technique helps in implementing fail-over, avoiding bottleneck problems, enabling scalability, optimizing resource allocation, etc. This study presents a survey about dynamic load balancing strategies directed on cloud data storage on workloads. The study also focuses on various metrics for load balancing in clouds that tends to analyze the efficacy of existing techniques. Associated overhead, response time, performance and scalability are some of the major parameters that are considered here for analysis.
ER  -