Using evolutionary dynamic optimization for monitor selection in highly dynamic communication infrastructures

摘要: In this paper, we address the problem of applying evolutionary dynamic optimization network monitoring to highly communication infrastructures. One major challenge modern networks is increasing volatility due to, e.g., changing availability nodes and links, load paths, or attacks. While those has been an important application area since decades, new developments in function virtualization software defined facilitate a completely level automated optimization. Especially mobile networks, changes can be observed appear swiftly. Thus, using population-based heuristics becomes challenging as reevaluation all candidate solutions may become time-wise impossible operations need rely on possibly obsolete fitness values. Here, established method applied solve monitor selection multiple real-world instances different simulated change. Statistically significant results proposed have compared performance best-of-multiple local search (EMS LS) heuristic. As show, reaches high quality even under difficult circumstances.