A cost-aware method for cloud services composition using a hybrid algorithm

Cloud computing is considered as a new methods of computations where resources can be scaled and provides services in virtualized format using the Internet. In some cases, the user’s need is in a way that the underlying service cannot meet user’s need individually and it is needed to combine services in order to meet the requirements. The previously presented methods had some problems such as not checking the cost, energy consumption, and not providing a framework for using the lowest number of clouds to respond to user requests. Therefore, the proposed method in this paper combines an ant colony algorithm with a based cloud algorithm (ACOBC). In this method, first, the cloud compositions that can respond to user requests are arranged in ascending order based on the number of clouds in the cloud composition, then the ant colony algorithm selects the appropriate services from each category, respectively. The obtained results have shown that the proposed method can act better in terms of energy consumption and cost.