International Journal of Engineering and Technology

Quality of Service (QoS) and user satisfaction are two of the major requirements considered by the current cloud service providers. In-order to incorporate these qualities in the cloud resource selection framework, user’s requirements must be clearly known. This paper presents an effective cloud package allocation technique that utilizes the user’s logs and fuzzy user inputs to identify the user requirements to perform optimal allocations. Since cloud packages are predefined and do not correspond to the direct user requirements, optimal package allocation is the only option. This process is carried out by Ant Colony Optimization (ACO). Due to the metaheuristic nature of ACO, the results obtained from this selection technique was found to be optimal and the results were obtained faster even with the usage of a large number of agents (ants). Experiments show that ACO provides optimal and fast allocations.