An Evolutionary Customer/Provider Utility Maximization Approach for Cloud DCNs

In the current work, the efficient joint provider/customer efficient resource allocation has been first formulated as a multi-objective optimization problem with convex constraint set in terms of virtual machine (VM) parameters (e.g. storage, CPU core, memory, etc.). Then, an evolutionary solution based on cooperative co-evolution algorithm (CCEA) has been proposed that can conduct a divide and-conquer methodology for solving the complex optimization problem. Numerical results show the prominent feature of the method in comparison with traditional ones