Efficient Resource Allocation By Bio-Inspired Algorithms In Cloud Computing Environment.
Recent cloud storage concrete with much security mechanism to safeguard the information stored in data centre's given by third party end users. Although strong information secured algorithms are available at the cloud end still we are struggling to get available resources in required time due to lac...
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 150 - 156 |
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| Autor principal: | |
| Formato: | tables/charts Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | Recent cloud storage concrete with much security mechanism to safeguard the information stored in data centre's given by third party end users. Although strong information secured algorithms are available at the cloud end still we are struggling to get available resources in required time due to lack of resource allocation strategy. Bio inspired technologies are extremely used for solving complex issues rise in nascent trends of computing. Many bio inspired algorithms are exists to find optimal answer ranges from heuristic to Meta heuristic. The Observation of biological nature of various insects, birds and animals with their habits of living style perception considered for different algorithms like Genetic Bee Algorithm, Artificial Algae algorithms etc. We proposed a Heuristic to Meta Heuristic based Ant Colony Algorithm to handle efficient resource allocation in cloud environment to handle load balancing and resource provisioning and the same simulated using cloudsim. |
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