While the modeling of QoE has made significant advances over the last couple of years, currently existing models still lack an integration of user behavior aspects and user context factors along with the consideration of appropriate temporal scales. Therefore, the goal of this paper is to present a comprehensive QoE and user behavior model providing a framework which allows joining a multitude of existing modeling approaches under the perspectives of service provider benefit, user well-being and technical system performance. In addition, we discuss the role of a broad range of corresponding influence factors, with a specific emphasis on user and context issues, and illustrate our proposal through a series of related use cases.

In the Internet Protocol (IP) ecosystem, Quality-of-Experience (QoE) is important information needed by Service Providers (SP) to improve their services. However, end-user's satisfaction, which can be reflected by QoE metrics, cannot be easily measured like technical variables, such as bandwidth and latency. QoE can either be estimated through mathematical models or it can be measured through an experimental setup. In this work a Voice-over-Internet Protocol-based (VoIP) QoE measurement setup has been designed to capture end-user's QoE in VoIP services. The data measured during these experiments are used to define all necessary parameters of the Deterministic QoE model (DQX) in this VoIP scenario. Such a calibration of the model is essential to adapt it to the particular service and its technical and non-technical conditions in which it is used. Furthermore, those DQX results achieved are compared with those results of the IQX Hypothesis and the E-Model, being proposed by the ITU-T. Thus, it is finally shown that DQX can capture more accurately end-user's QoE in VoIP scenarios.

Schengen Routing was proposed as a countermeasure to traffic monitoring activities practiced by intelligence agencies. This work here presents the results of a larger-scale measurement performed to quantify Schengen Routing compliance in today's Internet. Based on 3388 TCP, UDP, and ICMP traceroute measurements executed from RIPE Atlas probes located in over 1100 different Autonomous Systems (AS) in the Schengen Area, it was found that 34.5% to 39.7% of these routes are Schengencompliant, while compliance levels vary from 0% to 80% among countries. Finally, an approach was developed that allows end-users to determine whether a specific route to a host is Schengen-compliant or not. Abstract. Schengen Routing was proposed as a countermeasure to traffic monitoring activities practiced by intelligence agencies. This work here presents the results of a larger-scale measurement performed to quantify Schengen Routing compliance in today's Internet. Based on 3388 TCP, UDP, and ICMP traceroute measurements executed from RIPE Atlas probes located in over 1100 different Autonomous Systems (AS) in the Schengen Area, it was found that 34.5% to 39.7% of these routes are Schengen-compliant, while compliance levels vary from 0% to 80% among countries. Finally, an approach was developed that allows end-users to determine whether a specific route to a host is Schengen-compliant or not.

In Delay Tolerant Networks (DTNs), there is a fundamental tradeoff between the aggregate transport cost of a packet and the delay in its delivery. We study this tradeoff in the context of geographical routing in wireless DTNs.We ?rst specify the optimal cost/delay tradeoff, i.e., the tradeoff under optimal network operation, using a dynamic network construction termed the Cost/Delay Evolving Graph (C/DEG) and the Optimal Cost/Delay Curve (OC/DC), a function that gives the minimum possible aggregate transportation cost versus the maximum permitted delivery delay.We proceed to evaluate the performance of two known delay tolerant geographic routing rules, i.e., MOVE and AeroRP, a delay tolerant version of the geographic routing rule that selects as next relay the node for which the cost-per-progress ratio is minimized, and ?nally two novel rules, the Balanced Ratio Rule (BRR) and the Composite Rule (CR). The evaluation is in terms of the aggregate packet transmission cost as a function of the maximum permitted packet delivery delay. Simulations show that CR achieves a cost/delay tradeoff that is overall the closest to the optimal one speci?ed by the OC/DC, while BRR achieves the smallest aggregate transmission costs for large packet delays and a ?xed transmission cost model.

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