M
Maurizio D'Arienzo
Researcher at University of Naples Federico II
Publications - 31
Citations - 300
Maurizio D'Arienzo is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Quality of service & Mobile QoS. The author has an hindex of 9, co-authored 30 publications receiving 290 citations. Previous affiliations of Maurizio D'Arienzo include Seconda Università degli Studi di Napoli.
Papers
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Journal ArticleDOI
An open source traffic engineering toolbox
Guy Leduc,Henrik Abrahamsson,Simon Balon,Sandford Bessler,Maurizio D'Arienzo,O. Delcourt,Jordi Domingo-Pascual,S. Cerav-Erbas,Ivan Gojmerac,X. Masip,Antonio Pescape,Bruno Quoitin,Simon Pietro Romano,Elio Salvadori,Fabian Skivée,H. T. Tran,Steve Uhlig,H. ímit +17 more
TL;DR: The TOTEM open source Traffic Engineering (TE) toolbox as discussed by the authors is designed to be deployed as an on-line tool in an operational network, or used off-line as an optimisation tool or as a traffic engineering simulator.
Journal ArticleDOI
Admission of QoS aware users in a smart network
TL;DR: A measurement-based admission control algorithm that helps control traffic congestion and guarantee QoS throughout the lifetime of a connection.
Journal ArticleDOI
Dynamic Service Management in Heterogeneous Networks
TL;DR: This paper introduces a framework for distributed network management through an entity, namely AcMe (Active Mediator), which performs dynamic creation of network services in a transparent to the user fashion and a new protocol, HNMP (Heterogeneous Network Management Protocol), orchestrates all AcMe functionality.
Journal ArticleDOI
Unified architecture for network measurement: The case of available bandwidth
TL;DR: This work presents UANM (unified architecture for network measurement), a novel measurement infrastructure for the automatic management of measurement stages, tailored to the end-to-end available bandwidth estimation tools, and provides a ''fair comparison'' of eight available bandwidth estimations tools in terms of accuracy, probing time, and intrusiveness.
Proceedings ArticleDOI
Estimation of the Energy Consumption of Mobile Sensors in WSN Environmental Monitoring Applications
TL;DR: The main contribution of the paper is the definition of a model to estimate single node performance in presence of several energy consuming entities in order to properly support the design of more complex network topologies.