In the context of joint warfighting forces, future all-domain operations are envisioned as an enterprise-level management system that consists of functions such as critical surveillance, tactical edge communications, processing, networking, and battle management command and control capabilities. More specifically, timely and actionable information needs to traverse through trusted networks that enable the warfighters to focus on decisions. Essentially, network topology awareness is a critical part of network dynamical states that support a variety of network management tasks such as service placement, routing, overlay construction, connectivity redundancy, and load balancing. This research topic is looking for solutions, requirements, and feasibility studies to infer internal topology with minimal ambiguity for an all-domain network using appropriate end-to-end measurements collected from a subset of local devices and network management protocols owned and managed by heterogeneous network access providers. In addition, recognizing the importance of incumbent networks potentially employing network function virtualization and connectivity redundancy, information as services may likely need to traverse a chain of virtualized network functions and segments before reaching the intended destinations with certain measures of reliability and assurance in contested, degraded, and operationally limited environments. Topology tomography and topology inference under waypoint based routings are some typical research activities in order to impose the constraint that each path must traverse a predetermined sequence of waypoints, weighted topology consistent with all the end-to-end measurements taken from an arbitrary underlying topology, and thus, improving topology inference accuracy.