An Autonomous Multi-Agent Framework using Quality of Service to prevent Service Level Agreement Violations in Cloud Environment

Cloud is a specialized computing technology accommodating several million users to provide seamless services via the internet. The extension of this reverenced growing abruptly with increase in number users. One major issues cloud that it receives huge volume workloads requesting resources complete their executions. While executing these workloads, suffers from issue service level agreement (SLA) violations which impacts performance and reputation cloud. Therefore, there requirement for an effective design supports faster optimal execution without any violation SLA. To fill gap, article proposes automatic multi-agent framework ensures minimization SLA rate workload execution. proposed includes seven agents such as user agent, system negotiator coordinator monitoring arbitrator agent history agent. All work cooperatively enable irrespective dynamic nature. With model also resulted advantage minimized energy consumption data centres. inclusion within enabled predict future requirements based on records resource utilization. followed Poisson distribution generate random numbers are further used evaluation purposes. simulations proved more reliable reducing compared existing works. method average 55.71% 1200 47.84kWh 1500 workloads.