Metrics Evolution with MIRA Optimization Approach

This document is a technical report that investigates the evolution of metrics when utilizing the MIRA optimization approach for resource allocation in network function placement. It outlines the development of an algorithm designed to achieve optimal solutions within constraints, focusing on efficiency and adherence to user-defined goals. The report details the decision engine's role in selecting the optimal placement of network functions based on various criteria such as energy usage, greenness, cost, and balance. It presents a comprehensive comparison of the algorithm's performance in single and multi-criteria optimization scenarios against a baseline solution. The methodology section describes the testing of the algorithm on a sample 5G network, including the parameters and services used for evaluation. The execution time and performance metrics of the algorithm are discussed, highlighting its linear time complexity and the need for further optimization. The report concludes with findings on the effectiveness of both single and multi-criteria optimization strategies, providing insights into their impact on placement efficiency.