ENHANCEMENT OF RESOURCE ALLOCATION USING LOAD BALANCING IN CLOUD COMPUTING

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Published: Jun 20, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i5.3227
Keywords:
Load Balancing, Ant-Colony-Optimization (ACO), Active-Clustering (AC), Hybrid ACO with AC Algorithm(HAA)

Main Article Content

Roshni Singh
Madan Mohan Malaviya University of Technology
Shiva Prakash

Abstract

Distributed Computing also called internet based computing is a kind of dynamic load balancing and provides on-demand for resources for services over the web. Load balancing one of the concern issues in cloud computing environment which requires distributing the dynamic workload across multiple nodes to confirm that no single node comes under overloaded or underloaded resources. VM allocation is the measure factor for efficient load balancing in Cloud Computing and allows efficient sharing of virtual machines to available datacenters. This allocation policy helps to evaluate and enhance the cloud performance. Various allocation policies are available and they have their own pros and cons. That’s why we are going to overcome the limitations of existing policies by proposing a new algorithm named Hybrid Algorithm using Ant colony optimization with active clustering algorithm (HAA). This paper shows the implementation work of HAA algorithm to satisfy our objective of developing and implementing an effective load balancing algorithm.

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Vol. 8 No. 5 (2017): May-June 2017
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Author Biography

Roshni Singh, Madan Mohan Malaviya University of Technology

Computer Science and Engineering

References

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