Slice-aware Resource Orchestration of an Elastic 5G Network via Evolutionary Algorithms
Fifth generation mobile networks (5G) will enable new use cases for industries and vertical markets via numerous innovative approaches that overcome limitations of existing systems. Two concepts essential for the realization of 5G, are network elasticity and slicing. The application of these concepts allows the simultaneous hosting of more services that use a common resource pool while reducing operation and capital expenses. The realization of these benefits demands an efficient method to scale the resources allocated between different slices often with diverse demands. We apply a multi-objective approach, based on evolutionary algorithms to accomplish optimized resource orchestration between cloud-based slices in a 5G network deployed over a large European city. Numerical results are provided for the proposed approach and are compared to other allocation schemes.