Load Balancing using Ant Colony in Cloud Computing
Ranjan Kumar, G.Sahoo

TL;DR
This paper explores how ant colony optimization algorithms can be applied to load balancing in cloud computing, aiming to improve performance by mimicking ants' efficient path-finding behavior.
Contribution
It introduces a novel application of ant colony algorithms for load balancing in cloud environments, demonstrating potential performance benefits.
Findings
Improved load distribution in cloud systems
Enhanced resource utilization efficiency
Potential reduction in response time
Abstract
Ants are very small insects.They are capable to find food even they are complete blind. The ants lives in their nest and their job is to search food while they get hungry. We are not interested in their living style, such as how they live, how they sleep. But we are interested in how they search for food, and how they find the shortest path. The technique for finding the shortest path are now applying in cloud computing. The Ant Colony approach towards Cloud Computing gives better performance.
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Taxonomy
TopicsNeural Networks and Applications · Cloud Computing and Resource Management
