Credit-based algorithm for Virtual Machines Scheduling

Cloud computing involves a set of new technologies that permit the on-demand utilization of computational resources. This is extremely useful, especially when performing high demanding analysis tasks. The flexibility and scalability on providing computational resources has set cloud computing as an emerging technology for data analysis, where problems demand parallelization and are of high computational workload. In this article, a novel Credit-based algorithm targets at providing an efficient and simple (easy to implement) solution to computational resource management challenge by addressing the virtual machine scheduling problem of serving continuously submitted and different analysis tasks in private cloud infrastructure.