Ant colony Optimization: A Solution of Load balancing in
Cloud
Ratan Mishra1 and
Anant Jaiswal2
1Amity school of
engineering & Technology, Noida,India
2Amity school of
computer Science, Noida,India
Abstract
As the cloud computing is a new style of
computing over internet. It has many advantages along with some crucial issues
to be resolved in order to improve reliability of cloud environment. These
issues are related with the load management, fault tolerance and different
security issues in cloud environment. In this paper the main concern is load
balancing in cloud computing. The load can be CPU load, memory capacity, delay
or network load. Load balancing is the process of distributing the load among
various nodes of a distributed system to improve both resource utilization and
job response time while also avoiding a situation where some of the nodes are
heavily loaded while other nodes are idle or doing very little work. Load
balancing ensures that all the processor in the system or every node in the
network does approximately the equal amount of work at any instant of time.
Many methods to resolve this problem has been came into existence like Particle
Swarm Optimization, hash method, genetic algorithms and several scheduling
based algorithms are there. In this paper we are proposing a method based on
Ant Colony optimization to resolve the problem of load balancing in cloud
environment.
Keywords:
Cloud computing, Load balance,
Ant colony optimization, Swarm intelligence
Comments
Post a Comment