Assessing the peering evolution in the AFRINIC region

The poor quality of Internet access appears as an obstacle in many African countries for their development. Many organizations aim at assisting African ISP providers and universities to solve this problem. So far, few previous studies have targeted the African continent. The purpose of this project is to complement those studies by learning from historical routing data the peering habits among local ISPs. By considering this routing data covering the last decade we compute diverse statistics and analyze the growth of involved African Internet Exchange Platforms. Our results show that almost all the prefixes appear since their allocation date and most of them have appeared on 2015 as the year last of appearance. Moreover, the most frequent prefixes come from South Africa, Nigeria and Egypt. Also, the IXPs mostly used for peering (JINX and CINX according to our dataset) have more reallocated prefixes than the rest of the IXPs. In addition, the newest IXPs are TunIXP, SIxP, and DINX. Hence, they are still growing, whereas the IXPs who have been peering the earliest (JINX and KIXP) show a drop in the evolution. Such findings are essential for taking suitable decisions aiming at empowering the Internet underlying structure knowledge in the region. They can easily help ISPs to choose at which IXP to peer next, or be used by the stakeholders to evaluate the growth of their IXP in comparison with others. Moreover, one can determine as regional IXPs those at which we discovered most prefixes and origin ASes connected to and boost them.Ingeniería en Tecnologías de Telecomunicació

How should I slice my network? A multi-service empirical evaluation of resource sharing efficiency

Proceeding of: MobiCom '18: The 24th Annual International Conference on Mobile Computing and Networking, New Delhi, India, October 29 - November 2, 2018By providing especially tailored instances of a virtual network,network slicing allows for a strong specialization of the offered services on the same shared infrastructure. Network slicing has profound implications on resource management, as it entails an inherent trade-off between: (i) the need for fully dedicated resources to support service customization, and (ii) the dynamic resource sharing among services to increase resource efficiency and cost-effectiveness of the system. In this paper, we provide a first investigation of this trade-off via an empirical study of resource management efficiency in network slicing. Building on substantial measurement data collected in an operational mobile network (i) we quantify the efficiency gap introduced by non-reconfigurable allocation strategies of different kinds of resources, from radio access to the core of the network, and (ii) we quantify the advantages of their dynamic orchestration at different timescales. Our results provide insights on the achievable efficiency of network slicing architectures, their dimensioning, and their interplay with resource management algorithms.We would like to thank the shepherd and reviewers for their valuable comments and feedback. The work of University Carlos III of Madrid was supported by the H2020 5G-MoNArch project (grant agreement no. 761445), and the work of NEC Europe Ltd. was supported by the H2020 5GTransformer project (grant agreement no. 761536)

Not all Apps are created equal: analysis of spatiotemporal heterogeneity in nationwide mobile service usage

Proceeding of: 13th International Conference on emerging Networking EXperiments and Technologies (CoNEXT '17)We investigate how individual mobile services are consumed at a national scale, by studying data collected in a 3G/4G mobile network deployed over a major European country. Through correlation and clustering analyses, our study unveils a strong heterogeneity in the demand for different mobile services, both in time and space. In particular, we show that: (i) somehow surprisingly, almost all considered services exhibit quite different temporal usage patterns; (ii) in contrast to such temporal behavior, spatial patterns are fairly uniform across all services; (iii) when looking at usage patterns at different locations, the average traffic volume per user is dependent on the urbanization level, yet its temporal dynamics are not. Our findings do not only have sociological implications, but are also relevant to the orchestration of network resources.This research work has been performed in the framework of the H2020-ICT-2014-2 project 5G NORMA (Grant Agreement No. 671584)