Adaptive resource allocation strategy in cloud computing environment

Cloud resource management is a topic focus on enhancing the QoS in cloud computing system. This paper discusses a model, that is the adaptive and completion time aware model (ACTA). It gives the job adaptive and completion time aware for resource allocation. Moreover, a strategy is proposed based on the model. Non-cooperative Nash equilibrium theory is used to build the strategy with the goal of aiming to optimize cloud resources allocation. Accordingly, an allocation algorithm based on the gradient projection is presented. With experimental studies, the algorithm for resource scheduling is demonstrated to improve the efficiency of jobs and the cloud computing system resource utilization when compared to the fair scheduling, random scheduling, earliest deadline-time first scheduling.