Engineering shortest-path algorithms for dynamic networks

The problem of updating shortest paths in networks whose topology dynamically changes over time is a core functionality of many nowadays networked systems. In fact, the problem finds application in many real-world scenarios such as Internet routing and route planning in road networks. In these scenarios, shortest-path data are stored in different ways and have to be updated whenever the underlying graph, representing the network, undergoes dynamic updates. This paper provides a top-level overview of [13], where new dynamic shortest-path algorithms for various real-world applications are proposed, engineered, analyzed and compared to the literature, both theoretically and experimentally.