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In today’s business world, many companies and government agencies depend on the infrastructure of cloud services to host and process their information. Load processing of many cloud services is distributed in a dynamic manner that allows service providers to share cloud resources between different customers and this approach demands an efficient resource allocation to achieve an efficient resource allocation. In this paper, we introduce a predictive approach that uses data from an incoming network connection to predicting incoming load of a cloud. The predicted data will be used in a cloud simulator called CloudSim to simulate a cloud load in infrastructure and to achieve intelligent load balancing, Pairwise comparison approach will be used to find an optimal amount of resources for an incoming workload. This paper is an exploratory study on the predictive approach for the dynamic resource distribution of …