In cloud computing, the cloud provider agent offers the quality of service (QoS) for different categories of cloud consumer agents. In general, the inter-cloud environment provides resources as a virtual machine (VM) instance representing processing power, Memory allocated in RAM, and secondary storage for consumer agents with QoS guarantees. A service level agreement framework with a reinforcement learning mechanism is considered for provisioning VM’s for all categories of client classes. The parameters like cost of service, availability, and service demand are considered while provisioning VM’s in the inter-cloud environment. QoS violation happens because another set of cloud consumer agents receives the less no of VMs. In our approach, the adaptive resource provisioning is integrated with reinforcement learning mechanism during the service admission process and ensures the collaborated cloud providers will gain more profits without violation of SLA.

在云计算中，云提供商代理为不同类别的云消费者代理提供服务质量 (QoS)。通常，云间环境以虚拟机 (VM) 实例的形式提供资源，代表处理能力、在 RAM 中分配的内存以及具有 QoS 保证的消费者代理的辅助存储。考虑使用具有强化学习机制的服务水平协议框架来为所有类别的客户端类提供 VM。在云间环境中配置 VM 时会考虑服务成本、可用性和服务需求等参数。发生 QoS 违规是因为另一组云消费者代理接收的虚拟机数量较少。在我们的方法中，