Connessione di sitemi a microcontrollore con reti geografiche

Fra le varie ragioni della crescente pervasività di Internet in molteplici settori di mercato del tutto estranei all’ICT, va senza dubbio evidenziata la possibilità di creare canali di comunicazione attraverso i quali poter comandare un sistema e ricevere da esso informazioni di qualsiasi genere, qualunque distanza separi controllato e controllore. Nel caso specifico, il contesto applicativo è l’automotive: in collaborazione col Dipartimento di Ingegneria Elettrica dell’Università di Bologna, ci si è occupati del problema di rendere disponibile a distanza la grande quantità di dati che i vari sotto-sistemi componenti una automobile elettrica si scambiano fra loro, sia legati al tipo di propulsione, elettrico appunto, come i livelli di carica delle batterie o la temperatura dell’inverter, sia di natura meccanica, come i giri motore. L’obiettivo è quello di permettere all’utente (sia esso il progettista, il tecnico riparatore o semplicemente il proprietario) il monitoraggio e la supervisione dello stato del mezzo da remoto nelle sue varie fasi di vita: dai test eseguiti su prototipo in laboratorio, alla messa in strada, alla manutenzione ordinaria e straordinaria. L’approccio individuato è stato quello di collezionare e memorizzare in un archivio centralizzato, raggiungibile via Internet, tutti i dati necessari. Il sistema di elaborazione a bordo richiede di essere facilmente integrabile, quindi di piccole dimensioni, e a basso costo, dovendo prevedere la produzione di molti veicoli; ha inoltre compiti ben definiti e noti a priori. Data la situazione, si è quindi scelto di usare un sistema embedded, cioè un sistema elettronico di elaborazione progettato per svolgere un limitato numero di funzionalità specifiche sottoposte a vincoli temporali e/o economici. Apparati di questo tipo sono denominati “special purpose”, in opposizione ai sistemi di utilità generica detti “general purpose” quali, ad esempio, i personal computer, proprio per la loro capacità di eseguire ripetutamente un’azione a costo contenuto, tramite un giusto compromesso fra hardware dedicato e software, chiamato in questo caso “firmware”. I sistemi embedded hanno subito nel corso del tempo una profonda evoluzione tecnologica, che li ha portati da semplici microcontrollori in grado di svolgere limitate operazioni di calcolo a strutture complesse in grado di interfacciarsi a un gran numero di sensori e attuatori esterni oltre che a molte tecnologie di comunicazione. Nel caso in esame, si è scelto di affidarsi alla piattaforma open-source Arduino; essa è composta da un circuito stampato che integra un microcontrollore Atmel da programmare attraverso interfaccia seriale, chiamata Arduino board, ed offre nativamente numerose funzionalità, quali ingressi e uscite digitali e analogici, supporto per SPI, I2C ed altro; inoltre, per aumentare le possibilità d’utilizzo, può essere posta in comunicazione con schede elettroniche esterne, dette shield, progettate per le più disparate applicazioni, quali controllo di motori elettrici, gps, interfacciamento con bus di campo quale ad esempio CAN, tecnologie di rete come Ethernet, Bluetooth, ZigBee, etc. L’hardware è open-source, ovvero gli schemi elettrici sono liberamente disponibili e utilizzabili così come gran parte del software e della documentazione; questo ha permesso una grande diffusione di questo frame work, portando a numerosi vantaggi: abbassamento del costo, ambienti di sviluppo multi-piattaforma, notevole quantità di documentazione e, soprattutto, continua evoluzione ed aggiornamento hardware e software. È stato quindi possibile interfacciarsi alla centralina del veicolo prelevando i messaggi necessari dal bus CAN e collezionare tutti i valori che dovevano essere archiviati. Data la notevole mole di dati da elaborare, si è scelto di dividere il sistema in due parti separate: un primo nodo, denominato Master, è incaricato di prelevare dall’autovettura i parametri, di associarvi i dati GPS (velocità, tempo e posizione) prelevati al momento della lettura e di inviare il tutto a un secondo nodo, denominato Slave, che si occupa di creare un canale di comunicazione attraverso la rete Internet per raggiungere il database. La denominazione scelta di Master e Slave riflette la scelta fatta per il protocollo di comunicazione fra i due nodi Arduino, ovvero l’I2C, che consente la comunicazione seriale fra dispositivi attraverso la designazione di un “master” e di un arbitrario numero di “slave”. La suddivisione dei compiti fra due nodi permette di distribuire il carico di lavoro con evidenti vantaggi in termini di affidabilità e prestazioni. Del progetto si sono occupate due Tesi di Laurea Magistrale; la presente si occupa del dispositivo Slave e del database. Avendo l’obiettivo di accedere al database da ovunque, si è scelto di appoggiarsi alla rete Internet, alla quale si ha oggi facile accesso da gran parte del mondo. Questo ha fatto sì che la scelta della tecnologia da usare per il database ricadesse su un web server che da un lato raccoglie i dati provenienti dall’autovettura e dall’altro ne permette un’agevole consultazione. Anch’esso è stato implementato con software open-source: si tratta, infatti, di una web application in linguaggio php che riceve, sotto forma di richieste HTTP di tipo GET oppure POST, i dati dal dispositivo Slave e provvede a salvarli, opportunamente formattati, in un database MySQL. Questo impone però che, per dialogare con il web server, il nodo Slave debba implementare tutti i livelli dello stack protocollare di Internet. Due differenti shield realizzano quindi il livello di collegamento, disponibile sia via cavo sia wireless, rispettivamente attraverso l’implementazione in un caso del protocollo Ethernet, nell’altro della connessione GPRS. A questo si appoggiano i protocolli TCP/IP che provvedono a trasportare al database i dati ricevuti dal dispositivo Master sotto forma di messaggi HTTP. Sono descritti approfonditamente il sistema veicolare da controllare e il sistema controllore; i firmware utilizzati per realizzare le funzioni dello Slave con tecnologia Ethernet e con tecnologia GPRS; la web application e il database; infine, sono presentati i risultati delle simulazioni e dei test svolti sul campo nel laboratorio DIE.

Il linguaggio degli ambienti virtuali culturali: comunicare la storia di Bologna attraverso il progetto Nu.M.E.

The contemporary media landscape is characterized by the emergence of hybrid forms of digital communication that contribute to the ongoing redefinition of our societies cultural context. An incontrovertible consequence of this phenomenon is the new public dimension that characterizes the transmission of historical knowledge in the twenty-first century. Awareness of this new epistemic scenario has led us to reflect on the following methodological questions: what strategies should be created to establish a communication system, based on new technology, that is scientifically rigorous, but at the same time engaging for the visitors of museums and Internet users? How does a comparative analysis of ancient documentary sources form a solid base of information for the virtual reconstruction of thirteenth century Bologna in the Metaverse? What benefits can the phenomenon of cross-mediality give to the virtual heritage? The implementation of a new version of the Nu.M.E. project allowed for answering many of these instances. The investigation carried out between 2008 and 2010 has shown that, indeed, real-time 3D graphics and collaborative virtual environments can be feasible tools for representing philologically the urban medieval landscape and for communicating properly validated historical data to the general public. This research is focused on the study and implementation of a pipeline that permits mass communication of historical information about an area of vital importance in late medieval Bologna: Piazza di Porta Ravegnana. The originality of the developed project is not limited solely to the methodological dimension of historical research. Adopted technological perspective is an excellent example of innovation that digital technologies can bring to the cultural heritage. The main result of this research is the creation of Nu.ME 2010, a cross-media system of 3D real-time visualization based on some of the most advanced free software and open source technologies available today free of charge.

Fonti cartografiche di Toscana e Catalogna di Età Moderna e Contemporanea. Ricostruire con il GIS, comunicare con WebGIS

The aim of this study is the creation of a Historical GIS that spatially reference data retrieved from Italian and Catalan historical sources and records. The generation of locates these metasource was achieved through the integral acquisition of source-oriented records and the insertion of mark-up fields, yet maintaining, where possible, the original encoding of the source documents. In order to standardize the set of information contained in the original documents and thus allow queries to the database, additional fields were introduced. Once the initial phase of data research and analysis was concluded the new virtual source was published online within an open WebGIS source. As a conclusion we have created a dynamic and spatially referenced database of geo-historical information. The configuration of this new source is such to guarantee the best possible accessibility.

A hybrid technology for parallel recording of single ion channels

Hybrid technologies, thanks to the convergence of integrated microelectronic devices and new class of microfluidic structures could open new perspectives to the way how nanoscale events are discovered, monitored and controlled. The key point of this thesis is to evaluate the impact of such an approach into applications of ion-channel High Throughput Screening (HTS)platforms. This approach offers promising opportunities for the development of new classes of sensitive, reliable and cheap sensors. There are numerous advantages of embedding microelectronic readout structures strictly coupled to sensing elements. On the one hand the signal-to-noise-ratio is increased as a result of scaling. On the other, the readout miniaturization allows organization of sensors into arrays, increasing the capability of the platform in terms of number of acquired data, as required in the HTS approach, to improve sensing accuracy and reliabiity. However, accurate interface design is required to establish efficient communication between ionic-based and electronic-based signals. The work made in this thesis will show a first example of a complete parallel readout system with single ion channel resolution, using a compact and scalable hybrid architecture suitable to be interfaced to large array of sensors, ensuring simultaneous signal recording and smart control of the signal-to-noise ratio and bandwidth trade off. More specifically, an array of microfluidic polymer structures, hosting artificial lipid bilayers blocks where single ion channel pores are embededed, is coupled with an array of ultra-low noise current amplifiers for signal amplification and data processing. As demonstrating working example, the platform was used to acquire ultra small currents derived by single non-covalent molecular binding between alpha-hemolysin pores and beta-cyclodextrin molecules in artificial lipid membranes.

Procedures of quality control and data analysis of multi-site ground-based observations for the absolute flux calibration of Gaia

The Gaia space mission is a major project for the European astronomical community. As challenging as it is, the processing and analysis of the huge data-flow incoming from Gaia is the subject of thorough study and preparatory work by the DPAC (Data Processing and Analysis Consortium), in charge of all aspects of the Gaia data reduction. This PhD Thesis was carried out in the framework of the DPAC, within the team based in Bologna. The task of the Bologna team is to define the calibration model and to build a grid of spectro-photometric standard stars (SPSS) suitable for the absolute flux calibration of the Gaia G-band photometry and the BP/RP spectrophotometry. Such a flux calibration can be performed by repeatedly observing each SPSS during the life-time of the Gaia mission and by comparing the observed Gaia spectra to the spectra obtained by our ground-based observations. Due to both the different observing sites involved and the huge amount of frames expected (≃100000), it is essential to maintain the maximum homogeneity in data quality, acquisition and treatment, and a particular care has to be used to test the capabilities of each telescope/instrument combination (through the “instrument familiarization plan”), to devise methods to keep under control, and eventually to correct for, the typical instrumental effects that can affect the high precision required for the Gaia SPSS grid (a few % with respect to Vega). I contributed to the ground-based survey of Gaia SPSS in many respects: with the observations, the instrument familiarization plan, the data reduction and analysis activities (both photometry and spectroscopy), and to the maintenance of the data archives. However, the field I was personally responsible for was photometry and in particular relative photometry for the production of short-term light curves. In this context I defined and tested a semi-automated pipeline which allows for the pre-reduction of imaging SPSS data and the production of aperture photometry catalogues ready to be used for further analysis. A series of semi-automated quality control criteria are included in the pipeline at various levels, from pre-reduction, to aperture photometry, to light curves production and analysis.

Sviluppo di un'applicazione bioinformatica per la gestione dei dati di antibiotico sensibilità di isolati clinici

Il problema dell'antibiotico-resistenza è un problema di sanità pubblica per affrontare il quale è necessario un sistema di sorveglianza basato sulla raccolta e l'analisi dei dati epidemiologici di laboratorio. Il progetto di dottorato è consistito nello sviluppo di una applicazione web per la gestione di tali dati di antibiotico sensibilità di isolati clinici utilizzabile a livello di ospedale. Si è creata una piattaforma web associata a un database relazionale per avere un’applicazione dinamica che potesse essere aggiornata facilmente inserendo nuovi dati senza dover manualmente modificare le pagine HTML che compongono l’applicazione stessa. E’ stato utilizzato il database open-source MySQL in quanto presenta numerosi vantaggi: estremamente stabile, elevate prestazioni, supportato da una grande comunità online ed inoltre gratuito. Il contenuto dinamico dell’applicazione web deve essere generato da un linguaggio di programmazione tipo “scripting” che automatizzi operazioni di inserimento, modifica, cancellazione, visualizzazione di larghe quantità di dati. E’ stato scelto il PHP, linguaggio open-source sviluppato appositamente per la realizzazione di pagine web dinamiche, perfettamente utilizzabile con il database MySQL. E’ stata definita l’architettura del database creando le tabelle contenenti i dati e le relazioni tra di esse: le anagrafiche, i dati relativi ai campioni, microrganismi isolati e agli antibiogrammi con le categorie interpretative relative al dato antibiotico. Definite tabelle e relazioni del database è stato scritto il codice associato alle funzioni principali: inserimento manuale di antibiogrammi, importazione di antibiogrammi multipli provenienti da file esportati da strumenti automatizzati, modifica/eliminazione degli antibiogrammi precedenti inseriti nel sistema, analisi dei dati presenti nel database con tendenze e andamenti relativi alla prevalenza di specie microbiche e alla chemioresistenza degli stessi, corredate da grafici. Lo sviluppo ha incluso continui test delle funzioni via via implementate usando reali dati clinici e sono stati introdotti appositi controlli e l’introduzione di una semplice e pulita veste grafica.

Data Mining in Clinical Practice for the Quantification of Motor Impairment in Parkinson's Disease

Advances in biomedical signal acquisition systems for motion analysis have led to lowcost and ubiquitous wearable sensors which can be used to record movement data in different settings. This implies the potential availability of large amounts of quantitative data. It is then crucial to identify and to extract the information of clinical relevance from the large amount of available data. This quantitative and objective information can be an important aid for clinical decision making. Data mining is the process of discovering such information in databases through data processing, selection of informative data, and identification of relevant patterns. The databases considered in this thesis store motion data from wearable sensors (specifically accelerometers) and clinical information (clinical data, scores, tests). The main goal of this thesis is to develop data mining tools which can provide quantitative information to the clinician in the field of movement disorders. This thesis will focus on motor impairment in Parkinson's disease (PD). Different databases related to Parkinson subjects in different stages of the disease were considered for this thesis. Each database is characterized by the data recorded during a specific motor task performed by different groups of subjects. The data mining techniques that were used in this thesis are feature selection (a technique which was used to find relevant information and to discard useless or redundant data), classification, clustering, and regression. The aims were to identify high risk subjects for PD, characterize the differences between early PD subjects and healthy ones, characterize PD subtypes and automatically assess the severity of symptoms in the home setting.

Exact computation of the adjacency graph of an arrangement of quadrics

Präsentiert wird ein vollständiger, exakter und effizienter Algorithmus zur Berechnung des Nachbarschaftsgraphen eines Arrangements von Quadriken (Algebraische Flächen vom Grad 2). Dies ist ein wichtiger Schritt auf dem Weg zur Berechnung des vollen 3D Arrangements. Dabei greifen wir auf eine bereits existierende Implementierung zur Berechnung der exakten Parametrisierung der Schnittkurve von zwei Quadriken zurück. Somit ist es möglich, die exakten Parameterwerte der Schnittpunkte zu bestimmen, diese entlang der Kurven zu sortieren und den Nachbarschaftsgraphen zu berechnen. Wir bezeichnen unsere Implementierung als vollständig, da sie auch die Behandlung aller Sonderfälle wie singulärer oder tangentialer Schnittpunkte einschließt. Sie ist exakt, da immer das mathematisch korrekte Ergebnis berechnet wird. Und schließlich bezeichnen wir unsere Implementierung als effizient, da sie im Vergleich mit dem einzigen bisher implementierten Ansatz gut abschneidet. Implementiert wurde unser Ansatz im Rahmen des Projektes EXACUS. Das zentrale Ziel von EXACUS ist es, einen Prototypen eines zuverlässigen und leistungsfähigen CAD Geometriekerns zu entwickeln. Obwohl wir das Design unserer Bibliothek als prototypisch bezeichnen, legen wir dennoch größten Wert auf Vollständigkeit, Exaktheit, Effizienz, Dokumentation und Wiederverwendbarkeit. Über den eigentlich Beitrag zu EXACUS hinaus, hatte der hier vorgestellte Ansatz durch seine besonderen Anforderungen auch wesentlichen Einfluss auf grundlegende Teile von EXACUS. Im Besonderen hat diese Arbeit zur generischen Unterstützung der Zahlentypen und der Verwendung modularer Methoden innerhalb von EXACUS beigetragen. Im Rahmen der derzeitigen Integration von EXACUS in CGAL wurden diese Teile bereits erfolgreich in ausgereifte CGAL Pakete weiterentwickelt.

Cultura "Open" e nuovi modelli normativi per la gestione della conoscenza

L'obiettivo della ricerca è di compiere un'analisi dell'impatto della cosiddetta cultura "open" alla luce dell'attuale condizione del World Wide Web. Si prenderà in considerazione, in particolare, la genesi del movimento a partire dalle basi di cultura hacker e la relativa evoluzione nella filosofia del software libero, con il fine ultimo di identificare il ruolo attuale del modello open source nello scenario esistente. L'introduzione al concetto di Open Access completerà la ricerca anche considerando la recente riaffermazione della conoscenza come bene comune all'interno della Società dell'Informazione

Ultra-low power WSNs: distributed signal processing and dynamic resource management

This thesis presents several data processing and compression techniques capable of addressing the strict requirements of wireless sensor networks. After introducing a general overview of sensor networks, the energy problem is introduced, dividing the different energy reduction approaches according to the different subsystem they try to optimize. To manage the complexity brought by these techniques, a quick overview of the most common middlewares for WSNs is given, describing in detail SPINE2, a framework for data processing in the node environment. The focus is then shifted on the in-network aggregation techniques, used to reduce data sent by the network nodes trying to prolong the network lifetime as long as possible. Among the several techniques, the most promising approach is the Compressive Sensing (CS). To investigate this technique, a practical implementation of the algorithm is compared against a simpler aggregation scheme, deriving a mixed algorithm able to successfully reduce the power consumption. The analysis moves from compression implemented on single nodes to CS for signal ensembles, trying to exploit the correlations among sensors and nodes to improve compression and reconstruction quality. The two main techniques for signal ensembles, Distributed CS (DCS) and Kronecker CS (KCS), are introduced and compared against a common set of data gathered by real deployments. The best trade-off between reconstruction quality and power consumption is then investigated. The usage of CS is also addressed when the signal of interest is sampled at a Sub-Nyquist rate, evaluating the reconstruction performance. Finally the group sparsity CS (GS-CS) is compared to another well-known technique for reconstruction of signals from an highly sub-sampled version. These two frameworks are compared again against a real data-set and an insightful analysis of the trade-off between reconstruction quality and lifetime is given.

Hardware/Software Design of Dynamic Real-Time Schedulers for Embedded Multiprocessor Systems

The new generation of multicore processors opens new perspectives for the design of embedded systems. Multiprocessing, however, poses new challenges to the scheduling of real-time applications, in which the ever-increasing computational demands are constantly flanked by the need of meeting critical time constraints. Many research works have contributed to this field introducing new advanced scheduling algorithms. However, despite many of these works have solidly demonstrated their effectiveness, the actual support for multiprocessor real-time scheduling offered by current operating systems is still very limited. This dissertation deals with implementative aspects of real-time schedulers in modern embedded multiprocessor systems. The first contribution is represented by an open-source scheduling framework, which is capable of realizing complex multiprocessor scheduling policies, such as G-EDF, on conventional operating systems exploiting only their native scheduler from user-space. A set of experimental evaluations compare the proposed solution to other research projects that pursue the same goals by means of kernel modifications, highlighting comparable scheduling performances. The principles that underpin the operation of the framework, originally designed for symmetric multiprocessors, have been further extended first to asymmetric ones, which are subjected to major restrictions such as the lack of support for task migrations, and later to re-programmable hardware architectures (FPGAs). In the latter case, this work introduces a scheduling accelerator, which offloads most of the scheduling operations to the hardware and exhibits extremely low scheduling jitter. The realization of a portable scheduling framework presented many interesting software challenges. One of these has been represented by timekeeping. In this regard, a further contribution is represented by a novel data structure, called addressable binary heap (ABH). Such ABH, which is conceptually a pointer-based implementation of a binary heap, shows very interesting average and worst-case performances when addressing the problem of tick-less timekeeping of high-resolution timers.

Early Warning For Large Earthquakes: Observations, Models and Real-Time Data Analysis

This thesis is a collection of works focused on the topic of Earthquake Early Warning, with a special attention to large magnitude events. The topic is addressed from different points of view and the structure of the thesis reflects the variety of the aspects which have been analyzed. The first part is dedicated to the giant, 2011 Tohoku-Oki earthquake. The main features of the rupture process are first discussed. The earthquake is then used as a case study to test the feasibility Early Warning methodologies for very large events. Limitations of the standard approaches for large events arise in this chapter. The difficulties are related to the real-time magnitude estimate from the first few seconds of recorded signal. An evolutionary strategy for the real-time magnitude estimate is proposed and applied to the single Tohoku-Oki earthquake. In the second part of the thesis a larger number of earthquakes is analyzed, including small, moderate and large events. Starting from the measurement of two Early Warning parameters, the behavior of small and large earthquakes in the initial portion of recorded signals is investigated. The aim is to understand whether small and large earthquakes can be distinguished from the initial stage of their rupture process. A physical model and a plausible interpretation to justify the observations are proposed. The third part of the thesis is focused on practical, real-time approaches for the rapid identification of the potentially damaged zone during a seismic event. Two different approaches for the rapid prediction of the damage area are proposed and tested. The first one is a threshold-based method which uses traditional seismic data. Then an innovative approach using continuous, GPS data is explored. Both strategies improve the prediction of large scale effects of strong earthquakes.

Towards the 3D attenuation imaging of active volcanoes: methods and tests on real and simulated data

The purpose of my PhD thesis has been to face the issue of retrieving a three dimensional attenuation model in volcanic areas. To this purpose, I first elaborated a robust strategy for the analysis of seismic data. This was done by performing several synthetic tests to assess the applicability of spectral ratio method to our purposes. The results of the tests allowed us to conclude that: 1) spectral ratio method gives reliable differential attenuation (dt*) measurements in smooth velocity models; 2) short signal time window has to be chosen to perform spectral analysis; 3) the frequency range over which to compute spectral ratios greatly affects dt* measurements. Furthermore, a refined approach for the application of spectral ratio method has been developed and tested. Through this procedure, the effects caused by heterogeneities of propagation medium on the seismic signals may be removed. The tested data analysis technique was applied to the real active seismic SERAPIS database. It provided a dataset of dt* measurements which was used to obtain a three dimensional attenuation model of the shallowest part of Campi Flegrei caldera. Then, a linearized, iterative, damped attenuation tomography technique has been tested and applied to the selected dataset. The tomography, with a resolution of 0.5 km in the horizontal directions and 0.25 km in the vertical direction, allowed to image important features in the off-shore part of Campi Flegrei caldera. High QP bodies are immersed in a high attenuation body (Qp=30). The latter is well correlated with low Vp and high Vp/Vs values and it is interpreted as a saturated marine and volcanic sediments layer. High Qp anomalies, instead, are interpreted as the effects either of cooled lava bodies or of a CO2 reservoir. A pseudo-circular high Qp anomaly was detected and interpreted as the buried rim of NYT caldera.

Advanced data deduplication techniques and their application

Data deduplication describes a class of approaches that reduce the storage capacity needed to store data or the amount of data that has to be transferred over a network. These approaches detect coarse-grained redundancies within a data set, e.g. a file system, and remove them.rnrnOne of the most important applications of data deduplication are backup storage systems where these approaches are able to reduce the storage requirements to a small fraction of the logical backup data size.rnThis thesis introduces multiple new extensions of so-called fingerprinting-based data deduplication. It starts with the presentation of a novel system design, which allows using a cluster of servers to perform exact data deduplication with small chunks in a scalable way.rnrnAfterwards, a combination of compression approaches for an important, but often over- looked, data structure in data deduplication systems, so called block and file recipes, is introduced. Using these compression approaches that exploit unique properties of data deduplication systems, the size of these recipes can be reduced by more than 92% in all investigated data sets. As file recipes can occupy a significant fraction of the overall storage capacity of data deduplication systems, the compression enables significant savings.rnrnA technique to increase the write throughput of data deduplication systems, based on the aforementioned block and file recipes, is introduced next. The novel Block Locality Caching (BLC) uses properties of block and file recipes to overcome the chunk lookup disk bottleneck of data deduplication systems. This chunk lookup disk bottleneck either limits the scalability or the throughput of data deduplication systems. The presented BLC overcomes the disk bottleneck more efficiently than existing approaches. Furthermore, it is shown that it is less prone to aging effects.rnrnFinally, it is investigated if large HPC storage systems inhibit redundancies that can be found by fingerprinting-based data deduplication. Over 3 PB of HPC storage data from different data sets have been analyzed. In most data sets, between 20 and 30% of the data can be classified as redundant. According to these results, future work in HPC storage systems should further investigate how data deduplication can be integrated into future HPC storage systems.rnrnThis thesis presents important novel work in different area of data deduplication re- search.