PTN-19 An Ant-Colony-Based Meta-Heuristic Approach For Load Balancing In Cloud Computing

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Abstract: This book chapter proposes use of Ant Colony Optimization (ACO), a novel
computational intelligence technique for balancing loads of virtual machine in cloud
computing. Computational intelligence(CI), includes study of designing bio-inspired artificial
agents for finding out probable optimal solution. So the central goal of CI can be said as,
basic understanding of the principal, which helps to mimic intelligent behavior from the nature
for artifact systems. Basic strands of ACO is to design an intelligent multi-agent systems
imputed by the collective behavior of ants. From the perspective of operation research, it's a
meta-heuristic. Cloud computing is a one of the emerging technology. It's enables
applications to run on virtualized resources over the distributed environment. Despite these
still some problems need to be take care, which includes load balancing. The proposed
algorithm tries to balance loads and optimize the response time by distributing dynamic
workload in to the entire system evenly.