TY  - JOUR
T1  - Certain Investigation on Variants of Load Balancing in Big Data Centers using Meta-Heuristic
Algorithms
AU - Sundararajan, S. AU - Sakthivel, C.R. 
JO  - Asian Journal of Information Technology
VL  - 19
IS  - 5
SP  - 91
EP  - 94
PY  - 2020
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2020.91.94
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2020.91.94
KW  - Load balancing
KW  -Job scheduling
KW  -cloud computing
KW  -optimization
AB  - Allocation of resources for user requests or
scheduling jobs for multiple computing resources in the
cloud environment is a significant task in the cloud date
center because it is associated with cost. The objective of
load balancing is to detect overloaded and underloaded
nodes and then balance the load among them. Load
balancing takes the advantages of scalability and provides
measure to check the application’s performance. In order
to maintain low overhead in the cloud service provider’s
side, the scheduling and balancing mechanism is to be
implemented in decentralized manner. By taking
advantages of meta-heuristic algorithms, the load
balancing is assumed as objective function and work on
for improving results or to find best fitness value for the
function. In this study, the same can be investigated
thoroughly using different meta-heuristic approaches; its
outcomes are analyzed and concluded.
ER  -