Giada Giorgi Researcher of Electronic Measurement |
Ph.D. Giada Giorgi Dept. of Information Engineering, University of Padova Via Gradenigo 6/B I-35100 Padova, Italy Tel. +39.049.827.7743 Mail giada.giorgi@dei.unipd.it |
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Curriculum vitae
I received the Laurea degree in Telecommunication Engineering with
honour from the University of Padova in March 2003 and the Ph.D. degree
in Microelectronics and Telecommunication Engineering in March 2007.
My research activity, during the last years, has been mainly focused on
the aspects concerning traffic measurements and
synchronization in communication and industrial networks.
The study of the statistical properties of the aggregated traffic time
series, such as Self-Similarity and Long Range Dependence has allowed to
understand some results discussed in the literature about the nature of
these series and to go in greater depth into some significant aspects
related to both the analytical models used to describe traffic and the
tools used to measure their parameters.
The research activity brought contributions in the field of traffic
measurements, their statistical modelling, the estimation of traffic
parameters and, finally, traffic monitoring. In fact, as the rate of
links increases, tools based on the tracking of protocol signalling
cannot be further applied for real time monitoring, and statistical
tools based on flow measurement can represent a valid alternative. It is
important to note that the attention has been always focused on the
identification and analysis of the physical causes of the observed
behaviours in the analyzed traffic traces in order to achieve a better
understanding of traffic behaviour and the factors that affect it.
The analytical method developed as the main research effort during these
years, is an original approach derived from the stochastic theory of
Network Calculus and based on the statistical properties of
quantiles of the marginal probability distribution function related to
aggregated traffic time series.
This new method, called “Rate-Interval Curves (RIC)”,
was developed to overcome some limitations of the tools already
available to measure statistical parameters of analytical models, where
the tool based on the Discrete
Wavelet Transform is the best known. The “RIC tool” can be applied to monitor traffic in access links of wide area networks, while for monitoring traffic in backbones, where the link capacity is very high, the computational complexity of this tool, that involves sorting operations, may become a bottleneck. o:p>
To overcome possible limitations a more computationally inexpensive
tool, based on the statistical theory of Extreme Value,
has been developed. This considers the asymptotic properties of the
maximum, mean and minimum values series, obtained from the highest
resolution aggregated time series. Since it does not depend on the
particular statistical model used to describe aggregated time series,
but only on general properties of these series, the tool can be adapted
to work in different types of link and for different kinds of data
traffic. Moreover, its computational complexity is less demanding than
the RIC tool, since only the research of the maximum and minimum from a
data vector is involved.
The accuracy of flow models was also taken into account, investigating a
new modelling approach based on a statistical superposition of multiple
flows, each having its own specific correlation structure, which results
in better measurements and improved diagnostic possibilities. In
particular a model based on the superposition of a main
fractional Gamma process and some contaminating processes, that
may affect network performances, has been studied. This model allows to
approximate very well empirical traffic traces in most analysed
situations and, therefore, it should prove useful during the design and
optimization of systems and their components.
The most recent research activity has dealt with the development of a
tool for traffic classification. The proposed method, while still
referring to traffic flow, does not focus the attention on the behaviour
of packets or bytes inside a single flow, but on a more efficient and
faster approach. This approach is based on the behaviour of the joint
probability density function between traffic statistics, calculated over
non-overlapping observation windows of the same duration. This tool can
be helpful in traffic monitoring to directly identify and classify
network impairments.
Throughout the work, some matters concerning the instrumentation used to
measure traffic in a link, have been also considered, in particular
those related to the accuracy of the timestamps associated to each
packet by the monitoring interface card. Possible developments regard the study of the aspects concerning traffic measurements in hybrid networks, such as wireless networks, sensors networks and access networks for mobile communication (e.g., UMTS). In particular, flow measurements in the access link of these networks should be considered in order to provide an accurate statistical model of the traffic. This is useful both to correctly dimension network components such as access points and to develop well-suited communication protocols. o:p>
MMoreover, in high capacity link, flow analyses can help in detecting
events of interest from large quantities of data, in order to promptly
detect misbehaviours that may affect the quality of service.
During the last year, my interests have included the analysis of the
behaviour of real-time networks and of protocols for timing and
node synchronization. In industrial networks in fact, the
coexistence of time-constrained cyclic data (e.g., for control) and
acyclic general purpose data on the same networks, needs an accurate
characterization of the behaviour of the different
kind of traffic in order to analyze their impact on system
performances.
A behavioural simulator of the IEEE 1588 Precision Time Protocol
(PTP), based on OMNeT++, has been develop in order to assess
the suitability of PTP synchronization in relation to network
architecture and operating conditions, as well as for the optimization
of clock servo. This simulator differs from most approaches to PTP
analysis since node, link and traffic source behaviour are represented
by statistical source and flow models. This allows to implement
simulations where the effects of local clock instability, timestamping
uncertainty and so on, can be defined individually. Publications2010
GIORGI G., SONA A. Effetti delle interferenze elettromagnetiche sulle apparecchiature elettromedicali: aspetti normativi e tecnologici. Progetto "Cultura normativa 2010", Camera di Commercio e CNA di Padova. GIORGI G., NARDUZZI C., M. BERTOCCO Analysis of digitally modulated signals by multimodal histograms. Accepted for the International Instrumentation Measurement Technologies Conference, I2MTC 2010. GIORGI G., NARDUZZI C. Performance Analysis of Kalman Filter-based Clock Synchronization in IEEE 1588 Networks. To be puclished on the IEEE Transaction on Instrumentation and Measurement. GIORGI G., NARDUZZI C. Performance analysis of Kalman filter-based clock synchronization in IEEE 1588 networks. In: International IEEE Symposium on Precision Clock Synchronization for Measurement, Control and Communication, ISPCS 2009. Brescia, 12-16 Ottobre 2009. BENETAZZO L., GIORGI G., NARDUZZI C. Metodo di stima basato su istogrammi multimodali per l'analisi di segnali a modulazione digitale. In: XXVI Congresso Nazionale Gruppo Misure Elettriche ed Elettroniche. Salerno, 16-19 Settembre 2009. DE DOMINICIS C.M., FERRARI P., FLAMMINI A., SISINNI E., BERTOCCO M., GIORGI G., NARDUZZI C., TRAMARIN F. Investigating WirelessHART coexistence issues through a specifically designed simulator. In: IEEE Instrumentation and Measurement Technology Conference I2MTC2009. Singapore, 5-7 May, 2009. GIORGI G., DINDO S., VANTINI M., NARDUZZI C. A Real-Time Non-Intrusive Tool for Traffic Analysis. In: IEEE Instrum. & Meas. Techn. Conference, I2MTC2009. Singapore, 5-7 May 2009. GIORGI G., NARDUZZI C. Scaling Analysis of Wavelet Quantiles in Network Traffic. In: International Workshop on Traffic Monitoring and Analysis TMA. Aachen, Germany, 11 May 2009. GIORGI G., NARDUZZI C. Detection of Anomalous Behaviors in Networks From Traffic Measurements. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 57; p. 2782-2791. GIORGI G., NARDUZZI C. A study of measurement-based traffic models for network diagnostics. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 57; p. 1642-1650. GIORGI G., NARDUZZI C. Rate-interval curves - A tool for the analysis and monitoring of network traffic. PERFORMANCE EVALUATION, vol. 65; p. 441-462. BERTOCCO M, GAMBA G, GIORGI G., FLAMMINI A, SISINNI E, TRAMARIN F. Simulatore per reti di sensori wireless per l'automazione. In: XXV Congresso Nazionale Gruppo Misure Elettriche ed Elettroniche. Villa Mondragone, Monte Porzio Catone (RM), 7-10 Settembre 2008. GIORGI G., C. NARDUZZI. Uncertainty of Quantile Estimates in the Measurement of Self-Similar Processes. In: Workshop on Advanced Methods for Uncertainty Estimation Measurements, AMUEM 2008. Sardagna, Trento, Italy. GIORGI G., C. NARDUZZI. Joint pdf Plots: Telling Beetles from Ants in Network Traffic Measurement by Cross-Domain Analysis. In: IEEE Instrum. Meas. Techn. Conference, I2MTC2008. Victoria VancouverIsland, Canada, 12-15 May 2008. GIORGI G., C. NARDUZZI, M. STELLINI. A Test Bed for Synchronization in Heterogeneous Network Environments. In: Proc. IEEE Instrum. Meas. Techn. Conference, I2MTC2008. Victoria, VancouverIsland, Canada, 12-15 May 2008. L. BENETAZZO, M. BERTOCCO, GIORGI G., C. NARDUZZI, A. SONA. Reti ibride di sensori e standrad IEEE 1451. In: XXV Congresso Nazionale Gruppo Misure Elettriche ed Elettroniche, GMEE 2008. Villa Mondragone, Monte Porzio Catone (RM), 7-10 Settembre 2008. L. CARRETTA, GIORGI G., R. NAPOLITANO, C. NARDUZZI, M. STELLINI. Characterization of HV Lines for Digital Power Line Carrier Operation. In: 16th IMEKO TC-4 International Symposium. Firenze, Italia, 22-24 September, 2008. BENETAZZO L, GIORGI G., NARDUZZI C. On the Analysis of Communication and Computer Networks by Traffic Flow Measurement. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 56; p. 1157-1164. BENETAZZO L, GIORGI G., NARDUZZI C, STELLINI M. Studio di un ambiente di prova per misure di networking. In: Atti del XXIV Congresso Nazionale Associazione GMEE 2007. Torino, 05-07 settembre 2007. GIORGI G., NARDUZZI C. Ottimizzazione delle misure di intensità del traffico in rete. In: Atti del XXIV Congresso Nazionale Associazione GMEE 2007. Torino, 05-07 settembre 2007, TORINO: C.L.U.T. Editrice, p. 379-388. GIORGI G., NARDUZZI C. A Study of Measurement-based traffic models for network diagnostics. In: 2007 IEEE Instrumentation and Measurement Technology Conference Proceedings. Varsavia, Polonia, May 01-03, 2007. GIORGI G., NARDUZZI C (2007). Modeling and Simulation Analysis of PTP Clock Servo. In: IEEE Symposium on Precision Clock Synchronization for Measurement, Control and Communication ISPCS07. Vienna, Austria, 01-03 ottobre 2007, p. 155-161. BENETAZZO L, GIORGI G., NARDUZZI C. On the Analysis of Communication and Computers Networks by Traffic Flow Measurement. In: Proc. IEEE Instrum. Meas. Technol. Sorrento, Italy, 24-27 April 2006, p. 212-217. BENETAZZO L, GIORGI G., NARDUZZI C. Analisi statistiche di misure di traffico in reti di comunicazione. In: Atti del XXIII Congresso Nazionale Associazione GMEE 2006. L'Aquila, Italia, 11-13 Settembre 2006 GIORGI G., NARDUZZI C. Detection of Anomalous Behaviors in Networks from Traffic Measurement. In: Proc. IEEE Instrum. Meas. Technol. Sorrento, Italy, 24-27 April 2006, p. 330-335. GIORGI G., NARDUZZI C. Analysis of Traffic Flow Measurement by Rate-Interval Curves. In: ACM International Conference Proceeding Series. Pisa, Italy, 11-13 October 2006, vol. 180. GIORGI G., NARDUZZI C. Reti a commutazione di pacchetto nelle applicazioni industriali: problematiche di misura. TUTTO_MISURE, vol. 04; p. 275-278. BENETAZZO L., GIORGI G., NARDUZZI C. Misure su reti a commutazione di pacchetto mediante analisi del flusso di traffico. In: Atti del XXII Congresso Nazionale GMEE GIORGI G., NARDUZZI C., PEGORARO P. A. Statistical analysis of local features in network traffic processes. In: Proceedings 13th IEEE Workshop on Statistical Signal Processing SSP'05 BENEZZO L., GIORGI G., NARDUZZI C., Emulazione di multipath fading mediante generatore a radiofrequenza a modulazione arbitraria, Atti del XX Congresso Nazionale GMEE, Cagliari, 18-20 Settembre 2003, pp. 173-174. |