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Over the next few years, future aeronautical communications are expected to move from the OSI protocol stack to the TCP/IP one. Multiple data-link channels (e.g., satellite, terrestrial) will be available to each aircraft to communicate with ground, realizing the so-called multilink. In order to ensure a seamless handover between different data-links, the LISP protocol has been defined. This paper describes the modelling, design and implementation of LISP on the SAPIENT simulator, an OMNeT++-based simulator for aeronautical communications. It includes models of the aircrafts, including their mobility, multiple data links and ground-network elements.

Edge computing is an emerging architecture in 5G networks where computing power is provided at the edge of the fixed network, to be as close as possible to the end users. Computation offloading, better communication latency, and reduction of traffic in the core network are just some of the possible benefits. However, the Quality of Experience (QoE) depends significantly on the network performance of the user device towards the edge server vs. cloud server, which is not known a priori and may generally change very fast, especially in heterogeneous, dense, and mobile deployments. Building on the emergence of standard interfaces for the installation and operation of thirdparty edge applications in a mobile network, such as the Multi-Access Edge Computing (MEC) under standardization at the European Telecommunications Standards Institute (ETSI), we propose MECPerf, a tool for user-driven network performance measurements. Bandwidth and latency on different network segments are measured and stored in a central repository, from where they can be analyzed, e.g., by application and service providers without access to the underlying network management services, for run-time resource optimization.Index Terms-Edge computing, Network measurements, 5G.1 Admittedly, the standard does allow an application to specify Service Level Agreement (SLA) guarantees upon context creation, but the way how there are handled and what happens in case they are (temporarily) violated is left to the equipment manufacturers.

Traceroute is a popular network diagnostic tool used for discovering the Internet path towards a target host. Besides network diagnostic, in the last years traceroute has been used by researchers to discover the topology of the Internet. Some network administrators, however, congure their networks to not reply to traceroute probes or to block them (e.g. by using rewalls), preventing traceroute from providing details about the internal structure of their networks. In this paper we present camouage traceroute (camotrace), a traceroute-like tool aimed at discovering Internet paths even when standard traceroute is blocked. To this purpose, camotrace mimics the behavior of a popular TCP-based application-level protocol. We show preliminary results that conrm that camotrace is able to obtain additional information compared to standard traceroute.

Edge computing brings several advantages, such as reduced latency, increased bandwidth, and improved locality of traffic. One aspect that is not sufficiently understood is the impact of the different communication latency experienced in the edge-cloud continuum on the energy consumption of clients. We studied how a request-response communication scheme is influenced by different placements of the server, when communication is based on LTE. Results show that by accurately selecting the operational parameters a significant amount of energy can be saved.

Traceroute is the most commonly used tool, not only for network diagnostics, but also for discovering the topology of the Internet. We evaluated the discovery capability of three variations of TCP‐based traceroute: the first uses SYN segments as probes, the other two operate on an existing connection and use DATA and ACK segments as probes. Experimental results show that using different types of probes is useful to obtain a richer view of the Internet, both in terms of IP interfaces and autonomous systems.

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