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Antonio Pietrabissa

Researcher at Sapienza University of Rome

Publications -  141
Citations -  1398

Antonio Pietrabissa is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Markov decision process & Quality of service. The author has an hindex of 21, co-authored 129 publications receiving 1180 citations.

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MQ-Routing

TL;DR: This work proposes a proactive routing protocol, named MQ-Routing, aimed at maximizing the minimum node lifetime and at rapidly adapting to network topology changes, and expresses a fully proactive approach to assure the protocol usage and reactivity in mobile scenarios.
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Model Predictive Control of Energy Storage Systems for Power Tracking and Shaving in Distribution Grids

TL;DR: In this article, a model predictive control (MPC) strategy is proposed to control the energy flows in a distribution network node equipped with an electric storage system (ESS) and serving a portion of the grid with high penetration of renewable energy sources (RES).
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T-NOVA: An Open-Source MANO Stack for NFV Infrastructures

TL;DR: This paper presents a full software-based management and orchestration (MANO) stack which operates with OpenStack and OpenDaylight controllers and has the in-built functionality to automate the key phases of the NFV service lifecycle, namely resource discovery and matching, service mapping, service deployment, and monitoring.
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Design of a bandwidth-on-demand (BoD) protocol for satellite networks modelled as time-delay systems

TL;DR: The proposed BoD scheme, based on the internal model control and on the Smith's principle, yields the following advantages: when the network is not congested, it provides upper-bounds to the queue lengths and to the queuing delays of the satellite terminal buffers.
Proceedings ArticleDOI

TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment

TL;DR: The functional architecture and data models of TeNOR are described, as well as two proposed approaches to address the resource mapping problem and an assessment of the mapping approaches is performed in terms of the service acceptance ratio and scalability of the proposed approaches.