Intelligent Model for Predicting the Quality of Services Violation

Cloud computing is providing IT services to its customer based on Service level agreements (SLAs). It important for cloud service providers provide reliable Quality of (QoS) and maintain SLAs accountability. need predict possible violations before the emergence an issue perform remedial actions it. users’ major concerns; factors reliability are response time, accessibility, availability, speed. In this paper, we, therefore, experiment with parallel mutant-Particle swarm optimization (PSO) detection predictions QoS in terms speed, availability. This paper also compares Simple-PSO Parallel Mutant-PSO. simulation results, it observed that proposed Mutant-PSO solution violation prediction achieves 94% accuracy which many accurate results computationally fastest technique comparison conventional PSO technique.