A Resource Allocation Model Based on Trust Evaluation in Multi-Cloud Environments

Allocating and managing resources while considering the quality of service is considered a fundamental complex research problem in cloud environment. An optimal resource allocation optimizes several parameters such as optimizing cost utilization or maximizing any parameters. However, to ensure better customer service, Cloud Service Providers (CSPs) should consider most attributes allocating infrastructures. Existing does not evaluate trust quantitative attribute, thus trade-off between performance also absent area. We propose model both delay this paper. The CSP quantitatively estimated through some metrics. Availability, reliability, data integrity, efficiency are estimate trust. objective maximize minimizing communication delay. proposed joint optimization combines previous credentials CSPs present constraints. To solve heuristically, genetic algorithm applied. uses number that provide flexibility adapt requirements. effectiveness applicability approach demonstrated experiments. results estimation evaluation for different with attributes. Moreover, integrating allocates appropriate enhancing reducing overall allocation.