ANT-LOAD: A Proficient Meta-Heuristic Cloud Load Balancing | Zendy

Ankita Taneja | Zendy; Deepti Dhingra | Zendy

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ANT-LOAD: A Proficient Meta-Heuristic Cloud Load Balancing

Author(s) -

Ankita Taneja,

Deepti Dhingra

Publication year - 2015

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2015905523

Subject(s) - computer science , meta heuristic , load balancing (electrical power) , cloud computing , heuristic , ant colony optimization algorithms , distributed computing , operations research , artificial intelligence , algorithm , operating system , engineering , geometry , mathematics , grid

The Cloud computing is an embryonic as an innovative hypothesis of gigantic distributed calculation. Load balancing, the main trial in cloud computing, requires to allocate the vibrant workload uniformly across all of the machines. Burden balancing leads to a high user satisfaction and resource utilization ratio by confirming a proficient and fair allocating of all of the resources. Burden Balancing additionally supports ranking users by applying suitable method for scheduling. This paper concludes the counseled algorithm, Ant colony optimization, to resolve the setback of burden on the nodes in the cloud web, making the nodes burden free to work. This paper displays the drawbacks of Genetic Algorithm are resolved employing ACO for balancing the burden in the cloud network.

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