165,343 research outputs found
J. I. Font Galan, La libre competencia en la Communidad europea
No full textJ. I. Font Galan, La libre competencia en la Communidad europea. In: Revue internationale de droit comparé. Vol. 38 N°3, Juillet-septembre 1986. pp. 968-969
J. I. Font Galan, La libre competencia en la Communidad europea
No full textJ. I. Font Galan, La libre competencia en la Communidad europea. In: Revue internationale de droit comparé. Vol. 38 N°3, Juillet-septembre 1986. pp. 968-969
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Measuring the impact of ICNIRP vs. stricter-than-ICNIRP exposure limits on QoS and EMF from cellular networks
No full textThe installation of new equipment (Base Stations, BSs) during the planning phase of a cellular network (including 5G BSs) is governed by exposure limits in terms of allowable ElectroMagnetic Field (EMF) levels. The exposure limits can be either defined by (i) international bodies (e.g., ICNIRP) or (ii) national regulations imposing limits stricter than (i). In this work, we compare the impact of ICNIRP vs. stricter-than-ICNIRP exposure regulations on the Quality of Service (QoS) and EMF. To this aim, we perform a large-scale measurement campaign in one scenario in Spain subject to ICNIRP regulations and another one in Italy subject to EMF limits stricter than ICNIRP ones. Both the scenarios are characterized by similar exposure conditions, comparable user density, and common 4G performance targets by the operators. Results, obtained by measuring QoS and EMF at selected locations, reveal that the QoS in the scenario subject to strict EMF limits is heavily worsened compared to the one in which ICNIRP-based limits are enforced. Clearly, the scenario with strict EMF limits presents a lower level exposure over the territory compared to the one imposing ICNIRP limits
A Machine Learning-Based Framework to Estimate the Lifetime of Network Line Cards
No full textWith the increasing tendency on data rates in forthcoming communication networks, availability is a crucial aspect to guarantee Quality of Service (QoS) requirements. The possibility of predicting the lifetime of networking hardware can be a key to improve the overall network QoS. This paper proposes a generic Machine Learning (ML) based framework that learns how to mimic the mathematical model behind the lifetime of network line cards. Results show that a good precision (85%) and recall (close to 100%) on the estimation can be achieved regardless the type of line cards the network is composed of
Optimal energy management of uav-based cellular networks powered by solar panels and batteries: Formulation and solutions
No full textWe focus on the problem of managing the energy consumption of a cellular network tailored to cover rural and low-income areas. The considered architecture exploits Unmanned Aerial Vehicles (UAVs) to ensure wireless coverage, as well as Solar Panels (SPs) and batteries installed in a set of ground sites, which provides the energy required to recharge the UAVs. We then target the maximization of the energy stored in the UAVs and in the ground sites, by ensuring the coverage of the territory through the scheduling of the UAV missions over space and time. After providing the problem formulation, we face its complexity by proposing a decomposition-based approach and by designing a brand-new genetic algorithm. The results, obtained over a set of representative case studies, reveal that there exists a trade-off between the UAVs battery level, the ground sites battery level, and the level of coverage. In addition, both the decomposed version and the genetic algorithm perform sufficiently close to the integrated model, with a strong improvement in the computation times
Multi-Objective Genetic Algorithm for the Joint Optimization of Energy Efficiency and Rule Reduction in Software-Defined Networks
No full textAlthough the use of Ternary Content-Addressable Memories (TCAMs) in the flow tables of the Software-Defined Network (SDN) switches increases the efficiency of packets matching procedure, drawbacks such as their large power consumption and the limitation on the number of flow rules that can be installed must be taken into account. This paper tackles the joint problem of power consumption and TCAM size limitation in SDN. By exploiting the Rate Adaptation technique and compression methods, a Multi-Objective Genetic Algorithm is proposed to practically solve it. Simulations on a real network topology show that our proposed solution outperforms other state-of-The-Art approaches, both in terms of power saving gains (20% at non-peak TM) and maximum TCAM utilization (5%)
Murder on the mountain: author talk with Peter J. Wosh
No full textAuthor talk by Peter J. Wosh on May 5th, 2022, on his book, "Murder on the Mountain: crime, passion, and punishment in gilded age New Jersey.
A scalable and error-tolerant solution for traffic matrix assessment in hybrid IP/SDN networks
No full textThe advent of the Software Defined Networking (SDN) paradigm represents a great opportunity for the definition of new network management solutions. In this work, we focus on the definition and implementation of a novel technique to solve the Traffic Matrix Assessment (TMA) problem from the perspective of an Internet Service Provider. Since the migration from legacy IP networks to fully-deployed SDN ones needs to be incremental due to budget and technical constraints, this paper proposes a mixed measurement and estimation scalable solution for hybrid IP/SDN networks to accurately solve the TMA problem by exploiting the availability of flow rule counters in SDN switches. The performance evaluation shows that our error-Tolerant solution is able to assess the TM with a negligible estimation error by only measuring a small percentage of traffic flows, overcoming other state-of-The-Art algorithms proposed in the literature. Moreover, the performance analysis of the proposed implementation using the OpenDaylight controller over an emulated network environment, shows that a trade-off between the quality of the assessed TM and its impact on the network in terms of control messages can be found by properly tuning the number of measured flows
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