An Adaptive Resource Scheduling Mechanism Based on User Behavior Feedback in Cloud Computing

Abstract

Scheduling mechanism in cloud computing environment concerns more about the needs of users due to the commercial purpose of cloud computing. In response to this user-oriented feature, an Adaptive Resource Scheduling Mechanism based on User Behavior Feedback(ARSM-UBF) is developed to schedule cloud resources from the perspective of users. In ARSM-UBF, information collected from scheduling interaction is adopted as the reflection of user behavior and by introducing the relevance feedback mechanism, user behavior information is integrated into the resource scheduling and continuous feedback is proceeded on the following scheduling process to make scheduling results closer to the user's subjective perception. Furthermore, ARSM-UBF gives attention to the efficiency of cloud system. Simulation results confirm that this user behavior feedback based scheduling mechanism is much more efficient since it can not only provide guaranteed services for users with diverse requirements, but also improve the resource utilization rate from the system's perspectives.