Thematische Bibliographien / Stream Processing System / Dissertationen
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Dissertationen zum Thema „Stream Processing System“

Autor: Grafiati
Veröffentlicht am 25. Mai 2024
Zuletzt aktualisiert am 19. Juli 2025

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1

Wladdimiro, Cottet Daniel. "Dynamic adaptation in Stream Processing Systems." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS028.

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Le nombre de données produites par les systèmes ou applications Web actuels augmente rapidement en raison des nombreuses interactions avec les utilisateurs (dans le cadre par exemple, transactions boursières en temps réel, des jeux multijoueurs, des données en continu produits par Twitter, etc.). Ainsi, il existe une demande croissante, notamment dans les domaines du commerce, de la sécurité et de la recherche, pour des systèmes capables de traiter ces données en temps réel et de fournir des informations utiles dans un court laps de temps. Les systèmes de traitement des flux (SPS) répondent à
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Hongslo, Anders. "Stream Processing in the Robot Operating System framework." Thesis, Linköpings universitet, Artificiell intelligens och integrerad datorsystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79846.

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Streams of information rather than static databases are becoming increasingly important with the rapid changes involved in a number of fields such as finance, social media and robotics. DyKnow is a stream-based knowledge processing middleware which has been used in autonomous Unmanned Aerial Vehicle (UAV) research. ROS (Robot Operating System) is an open-source robotics framework providing hardware abstraction, device drivers, communication infrastructure, tools, libraries as well as other functionalities. This thesis describes a design and a realization of stream processing in ROS based on th
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Kakkad, Vasvi. "Curracurrong: a stream processing system for distributed environments." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/12861.

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Advances in technology have given rise to applications that are deployed on wireless sensor networks (WSNs), the cloud, and the Internet of things. There are many emerging applications, some of which include sensor-based monitoring, web traffic processing, and network monitoring. These applications collect large amount of data as an unbounded sequence of events and process them to generate a new sequences of events. Such applications need an adequate programming model that can process large amount of data with minimal latency; for this purpose, stream programming, among other paradigms, is ide
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Tokmouline, Timur. "A signal oriented stream processing system for pipeline monitoring." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37106.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.<br>Includes bibliographical references (p. 115-117).<br>In this thesis, we develop SignalDB, a framework for composing signal processing applications from primitive stream and signal processing operators. SignalDB allows the user to focus on the signal processing task and avoid needlessly spending time on learning a particular application programming interface (API). We use SignalDB to express acoustic and pressure transient methods for water pipeline monitoring as query plans c
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Robakowski, Mikolaj. "Comparison of State Backends for Modern Stream Processing System." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290597.

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Distributed Stream Processing is a very popular computing paradigm used invarious modern computer systems. An important aspect of distributed streamprocessing systems is how they deal with computation state bigger than thesystem memory. This is often solved by the usage of a state backend – adatabase, usually an embedded one, that manages the state on the persistentstorage. However, this makes the performance of the whole system dependanton the performance of the database under the given workload. Log-structuredmerge-tree-based solutions are commonly used in stream processing systemsas a one-s
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Mousavi, Bamdad. "Scalable Stream Processing and Management for Time Series Data." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42295.

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There has been an enormous growth in the generation of time series data in the past decade. This trend is caused by widespread adoption of IoT technologies, the data generated by monitoring of cloud computing resources, and cyber physical systems. Although time series data have been a topic of discussion in the domain of data management for several decades, this recent growth has brought the topic to the forefront. Many of the time series management systems available today lack the necessary features to successfully manage and process the sheer amount of time series being generated today. In t
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Balazinska, Magdalena. "Fault-tolerance and load management in a distributed stream processing system." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/35287.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2006.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 187-199).<br>Advances in monitoring technology (e.g., sensors) and an increased demand for online information processing have given rise to a new class of applications that require continuous, low-latency processing of large-volume data streams. These "stream processing application
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Ahmed, Abdulbasit. "Online network intrusion detection system using temporal logic and stream data processing." Thesis, University of Liverpool, 2013. http://livrepository.liverpool.ac.uk/12153/.

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These days, the world is becoming more interconnected, and the Internet has dominated the ways to communicate or to do business. Network security measures must be taken to protect the organization environment. Among these security measures are the intrusion detection systems. These systems aim to detect the actions that attempt to compromise the confidentiality, availability, and integrity of a resource by monitoring the events occurring in computer systems and/or networks. The increasing amounts of data that are transmitted at higher and higher speed networks created a challenging problem for
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Al-Sinayyid, Ali. "JOB SCHEDULING FOR STREAMING APPLICATIONS IN HETEROGENEOUS DISTRIBUTED PROCESSING SYSTEMS." OpenSIUC, 2020. https://opensiuc.lib.siu.edu/dissertations/1868.

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The colossal amounts of data generated daily are increasing exponentially at a never-before-seen pace. A variety of applications—including stock trading, banking systems, health-care, Internet of Things (IoT), and social media networks, among others—have created an unprecedented volume of real-time stream data estimated to reach billions of terabytes in the near future. As a result, we are currently living in the so-called Big Data era and witnessing a transition to the so-called IoT era. Enterprises and organizations are tackling the challenge of interpreting the enormous amount of raw data
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Addimando, Alessio. "Progettazione di un intrusion detection system su piattaforma big data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16755/.

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Negli ultimi anni, nel panorama digitale, è stato rilevato un ingente aumento del numero di dispositivi e utenti con accesso ad Internet. Proporzionalmente a questi fattori ogni giorno vengono generati continuamente, e in qualsiasi contesto, grandi quantità di dati difficili da gestire. Questo ha fatto emergere la necessità di riorganizzare gli asset aziendali per far fronte ad un calibro di informazione maggiore e per far in modo che la gestione stessa ne estragga valore concreto per la realtà decisionale. L'insieme di queste motivazioni da vita al fenomeno dei Big Data. Affiancato a ques
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Slater, Alicia Adell. "Recovery of community structure and leaf processing in a headwater stream following use of a wetland passive treatment system to abate copper pollution." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-08222008-063653/.

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Wigent, Mark A., Andrea M. Mazzario, and Scott M. Matsumura. "Use of Multi-Threading, Modern Programming Language, and Lossless Compression in a Dynamic Commutation/Decommutation System." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595662.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada<br>The Spectrum Efficient Technology Science and Technology (SET S&T) Program is sponsoring the development of the Dynamic Commutation and Decommutation System (DCDS), which optimizes telemetry data transmission in real time. The goal of DCDS is to improve spectrum efficiency - not through improving RF techniques but rather through changing and optimizing contents of the telemetry stream during system test. By
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Carter, Bruce, and Troy Scoughton. "Low-cost, short-term development or high-data-rate, multi-stream, mulit-data type telemetry acquisition/processing system using an off-the-shelf integrated Telemetry Front End." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614541.

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International Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, California<br>This paper explores the effects the new breed of off-theshelf integrated telemetry front end (TFE) packages have on the cost and schedule of the development cycle associated with real-time telemetry acquisition/processing systems. A case study of an actual project involving replacement of the Holloman AFB sled track telemetry processing system (TPS) with a system capable of simultaneously supporting up to twenty (20) asynchronous data streams is
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Aved, Alexander. "Scene Understanding for Real Time Processing of Queries over Big Data Streaming Video." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5597.

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With heightened security concerns across the globe and the increasing need to monitor, preserve and protect infrastructure and public spaces to ensure proper operation, quality assurance and safety, numerous video cameras have been deployed. Accordingly, they also need to be monitored effectively and efficiently. However, relying on human operators to constantly monitor all the video streams is not scalable or cost effective. Humans can become subjective, fatigued, even exhibit bias and it is difficult to maintain high levels of vigilance when capturing, searching and recognizing events that o
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Braik, William. "Détection d'évènements complexes dans les flux d'évènements massifs." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0596/document.

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La détection d’évènements complexes dans les flux d’évènements est un domaine qui a récemment fait surface dans le ecommerce. Notre partenaire industriel Cdiscount, parmi les sites ecommerce les plus importants en France, vise à identifier en temps réel des scénarios de navigation afin d’analyser le comportement des clients. Les objectifs principaux sont la performance et la mise à l’échelle : les scénarios de navigation doivent être détectés en moins de quelques secondes, alorsque des millions de clients visitent le site chaque jour, générant ainsi un flux d’évènements massif.Dans cette thèse
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Kammoun, Abderrahmen. "Enhancing Stream Processing and Complex Event Processing Systems." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSES012.

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Alors que de plus en plus d'objets et d'appareils sensoriels connectés font partie de notre vie quotidienne, la masse d'informations circulant à grande vitesse ne cesse d'augmenter. Cette énorme quantité de données produites à des débits élevés exige une compréhension rapide pour être utile dans divers domaines d'activité telles que l'internet des objets, la santé, la gestion de l'énergie, etc. Les techniques traditionnelles de stockage et de traitement de données se sont révélées inefficaces ou inadaptables pour gérer ce flux de données. Cette thèse a pour objectif de proposer des solutions o
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Maurer, Simon. "Analysis and coordination of mixed-criticality cyber-physical systems." Thesis, University of Hertfordshire, 2018. http://hdl.handle.net/2299/21094.

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A Cyber-physical System (CPS) can be described as a network of interlinked, concurrent computational components that interact with the physical world. Such a system is usually of reactive nature and must satisfy strict timing requirements to guarantee a correct behaviour. The components can be of mixed-criticality which implies different progress models and communication models, depending whether the focus of a component lies on predictability or resource efficiency. In this dissertation I present a novel approach that bridges the gap between stream processing models and Labelled Transition Sy
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Alves, Francisco Marco Morais. "Framework for location based system sustained by mobile phone users." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23817.

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mestrado em Engenharia de Computadores e Telemática<br>Vivemos na era da informação e da Internet das coisas e por isso nunca antes a informação teve tanto valor, ao mesmo tempo nunca existiu tão elevada troca de informação. Com toda esta quantidade de dados e com o aumento substancial do poder computacional, tem-se assistido a uma explosão de ferramentas para o processamento destes dados em tempo real. Um novo paradigma também emergiu, pelo facto de que muita dessa informação tem meta informação da qual é possível extrair conhecimento adicional quando enriquecida. No caso dos operadores de
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Vijayakumar, Nithya Nirmal. "Data management in distributed stream processing systems." [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3278228.

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Thesis (Ph.D.)--Indiana University, Dept. of Computer Science, 2007.<br>Source: Dissertation Abstracts International, Volume: 68-09, Section: B, page: 6093. Adviser: Beth Plale. Title from dissertation home page (viewed May 9, 2008).
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Mei, Haitao. "Real-time stream processing in embedded systems." Thesis, University of York, 2017. http://etheses.whiterose.ac.uk/19750/.

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Modern real-time embedded systems often involve computational-intensive data processing algorithms to meet their application requirements. As a result, there has been an increase in the use of multiprocessor platforms. The stream processing programming model aims to facilitate the construction of concurrent data processing programs to exploit the parallelism available on these architectures. However, most current stream processing frameworks or languages are not designed for use in real-time systems, let alone systems that might also have hard real-time control algorithms. This thesis contends
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Drougas, Ioannis. "Rate allocation in distributed stream processing systems." Diss., [Riverside, Calif.] : University of California, Riverside, 2008. http://proquest.umi.com/pqdweb?index=0&did=1663077971&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268240766&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2008.<br>Includes abstract. Title from first page of PDF file (viewed March 10, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 93-98). Also issued in print.
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Idris, Muhammad. "Real-time Business Intelligence through Compact and Efficient Query Processing Under Updates." Doctoral thesis, Universite Libre de Bruxelles, 2019. https://dipot.ulb.ac.be/dspace/bitstream/2013/284705/5/contratMI.pdf.

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Responsive analytics are rapidly taking over the traditional data analytics dominated by the post-fact approaches in traditional data warehousing. Recent advancements in analytics demand placing analytical engines at the forefront of the system to react to updates occurring at high speed and detect patterns, trends, and anomalies. These kinds of solutions find applications in Financial Systems, Industrial Control Systems, Business Intelligence and on-line Machine Learning among others. These applications are usually associated with Big Data and require the ability to react to constantly changi
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Ren, Xiangnan. "Traitement et raisonnement distribués des flux RDF." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1139/document.

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Le traitement en temps réel des flux de données émanant des capteurs est devenu une tâche courante dans de nombreux scénarios industriels. Dans le contexte de l'Internet des objets (IoT), les données sont émises par des sources de flux hétérogènes, c'est-à-dire provenant de domaines et de modèles de données différents. Cela impose aux applications de l'IoT de gérer efficacement l'intégration de données à partir de ressources diverses. Le traitement des flux RDF est dès lors devenu un domaine de recherche important. Cette démarche basée sur des technologies du Web Sémantique supporte actuelleme
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Works, Karen E. "Targeted Prioritized Processing in Overloaded Data Stream Systems." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-dissertations/414.

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"We are in an era of big data, sensors, and monitoring technology. One consequence of this technology is the continuous generation of massive volumes of streaming data. To support this, stream processing systems have emerged. These systems must produce results while meeting near-real time response obligations. However, computation intensive processing on high velocity streams is challenging. Stream arrival rates are often unpredictable and can fluctuate. This can cause systems to not always be able to process all incoming data within their required response time.Yet inherently some results may
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Bordin, Maycon Viana. "A benchmark suite for distributed stream processing systems." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/163441.

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Um dado por si só não possui valor algum, a menos que ele seja interpretado, contextualizado e agregado com outros dados, para então possuir valor, tornando-o uma informação. Em algumas classes de aplicações o valor não está apenas na informação, mas também na velocidade com que essa informação é obtida. As negociações de alta frequência (NAF) são um bom exemplo onde a lucratividade é diretamente proporcional a latência (LOVELESS; STOIKOV; WAEBER, 2013). Com a evolução do hardware e de ferramentas de processamento de dados diversas aplicações que antes levavam horas para produzir resultados, h
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Martin, André. "Minimizing Overhead for Fault Tolerance in Event Stream Processing Systems." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-210251.

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Event Stream Processing (ESP) is a well-established approach for low-latency data processing enabling users to quickly react to relevant situations in soft real-time. In order to cope with the sheer amount of data being generated each day and to cope with fluctuating workloads originating from data sources such as Twitter and Facebook, such systems must be highly scalable and elastic. Hence, ESP systems are typically long running applications deployed on several hundreds of nodes in either dedicated data-centers or cloud environments such as Amazon EC2. In such environments, nodes are likely t
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Kautharapu, K. B. "Aqueous two phase systems for down stream processing of proteins." Thesis(Ph.D.), CSIR-National Chemical Laboratory, Pune, 2009. http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/2750.

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Chong, Fong Ho. "Frequency-stream-tying hidden Markov model /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20CHONG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 119-123). Also available in electronic version. Access restricted to campus users.
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Nehme, Rimma V. "Continuous query processing on spatio-temporal data streams." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-082305-154035/.

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VASCONCELOS, RAFAEL OLIVEIRA. "A DYNAMIC LOAD BALANCING MECHANISM FOR DATA STREAM PROCESSING ON DDS SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23629@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Esta dissertação apresenta a solução de balanceamento de carga baseada em fatias de processamento de dados (Data Processing Slice Load Balancing solution) para permitir o balanceamento de carga dinâmico do processamento de fluxos de dados em sistemas baseados em DDS (Data Distribution Service). Um grande número de aplicações requer o processamento contínuo de alto volume de dados oriundos de várias fontes distribuídas., tais como monitorament
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Bustamante, Fabián Ernesto. "The active streams approach to adaptive distributed applications and services." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/15481.

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Sansrimahachai, Watsawee. "Tracing fine-grained provenance in stream processing systems using a reverse mapping method." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/337675/.

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Applications that require continuous processing of high-volume data streams have grown in prevalence and importance. These kinds of system often process streaming data in real-time or near real-time and provide instantaneous responses in order to support a precise and on time decision. In such systems it is difficult to know exactly how a particular result is generated. However, such information is extremely important for the validation and veri�cation of stream processing results. Therefore, it is crucial that stream processing systems have a mechanism for tracking provenance - the informatio
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Weisenseel, Chuck, and David Lane. "SIMULTANEOUS DATA PROCESSING OF MULTIPLE PCM STREAMS ON A PC BASED SYSTEM." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/608317.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>The trend of current data acquisition and recording systems is to capture multiple streams of Pulse Code Modulation (PCM) data on a single media. The MARS II data recording system manufactured by Datatape, the Asynchronous Realtime Multiplexer and Output Reconstructor (ARMOR) systems manufactured by Calculex, Inc., and other systems on the market today are examples of this technology. The quantity of data recorded by these systems can be impressive, and can cause
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Fernández, Moctezuma Rafael J. "A Data-Descriptive Feedback Framework for Data Stream Management Systems." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/116.

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Data Stream Management Systems (DSMSs) provide support for continuous query evaluation over data streams. Data streams provide processing challenges due to their unbounded nature and varying characteristics, such as rate and density fluctuations. DSMSs need to adapt stream processing to these changes within certain constraints, such as available computational resources and minimum latency requirements in producing results. The proposed research develops an inter-operator feedback framework, where opportunities for run-time adaptation of stream processing are expressed in terms of descriptions
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Chen, Liang. "A grid-based middleware for processing distributed data streams." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1157990530.

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Penczek, Frank. "Static guarantees for coordinated components : a statically typed composition model for stream-processing networks." Thesis, University of Hertfordshire, 2012. http://hdl.handle.net/2299/9046.

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Does your program do what it is supposed to be doing? Without running the program providing an answer to this question is much harder if the language does not support static type checking. Of course, even if compile-time checks are in place only certain errors will be detected: compilers can only second-guess the programmer’s intention. But, type based techniques go a long way in assisting programmers to detect errors in their computations earlier on. The question if a program behaves correctly is even harder to answer if the program consists of several parts that execute concurrently and need
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Martin, André [Verfasser], Christof [Akademischer Betreuer] Fetzer, and Peter [Gutachter] Pietzuch. "Minimizing Overhead for Fault Tolerance in Event Stream Processing Systems / André Martin ; Gutachter: Peter Pietzuch ; Betreuer: Christof Fetzer." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://d-nb.info/1119362482/34.

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Büchner, Steffen [Verfasser], Jörg [Gutachter] Nolte, Rolf [Gutachter] Kraemer, and Wolfgang [Gutachter] Schröder-Preikschat. "Applying the stream-processing paradigm to ultra high-speed communication systems / Steffen Büchner ; Gutachter: Jörg Nolte, Rolf Kraemer, Wolfgang Schröder-Preikschat." Cottbus : BTU Cottbus - Senftenberg, 2020. http://d-nb.info/1218080191/34.

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Le, Quoc Do. "Approximate Data Analytics Systems." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234219.

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Today, most modern online services make use of big data analytics systems to extract useful information from the raw digital data. The data normally arrives as a continuous data stream at a high speed and in huge volumes. The cost of handling this massive data can be significant. Providing interactive latency in processing the data is often impractical due to the fact that the data is growing exponentially and even faster than Moore’s law predictions. To overcome this problem, approximate computing has recently emerged as a promising solution. Approximate computing is based on the observation
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Sree, Kumar Sruthi. "External Streaming State Abstractions and Benchmarking." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291338.

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Distributed data stream processing is a popular research area and is one of the promising paradigms for faster and efficient data management. Application state is a first-class citizen in nearly every stream processing system. Nowadays, stream processing is, by definition, stateful. For a stream processing application, the state is backing operations such as aggregations, joins, and windows. Apache Flink is one of the most accepted and widely used stream processing systems in the industry. One of the main reasons engineers choose Apache Flink to write and deploy continuous applications is its
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Klein, Anja. "Datenqualität in Sensordatenströmen." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-27581.

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Die stetige Entwicklung intelligenter Sensorsysteme erlaubt die Automatisierung und Verbesserung komplexer Prozess- und Geschäftsentscheidungen in vielfältigen Anwendungsszenarien. Sensoren können zum Beispiel zur Bestimmung optimaler Wartungstermine oder zur Steuerung von Produktionslinien genutzt werden. Ein grundlegendes Problem bereitet dabei die Sensordatenqualität, die durch Umwelteinflüsse und Sensorausfälle beschränkt wird. Ziel der vorliegenden Arbeit ist die Entwicklung eines Datenqualitätsmodells, das Anwendungen und Datenkonsumenten Qualitätsinformationen für eine umfassende Bewe
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Henriksson, Jonas. "Implementation of a real-time Fast Fourier Transform on a Graphics Processing Unit with data streamed from a high-performance digitizer." Thesis, Linköpings universitet, Programvara och system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113389.

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In this thesis we evaluate the prospects of performing real-time digital signal processing on a graphics processing unit (GPU) when linked together with a high-performance digitizer. A graphics card is acquired and an implementation developed that address issues such as transportation of data and capability of coping with the throughput of the data stream. Furthermore, it consists of an algorithm for executing consecutive fast Fourier transforms on the digitized signal together with averaging and visualization of the output spectrum. An empirical approach has been used when researching differe
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Johnson, Robert A. "A Comparison Between Two-Dimensional and Three-DimensionalAnalysis, A Review of Horizontal Wood Diaphragms and a Case Study of the Structure Located at 89 Shrewsbury Street, Worcester, MA." Digital WPI, 2008. https://digitalcommons.wpi.edu/etd-theses/524.

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A two-dimensional structural analysis design approach has been the universally accepted method for a small structural engineering design firm. The tools to perform the analysis have been paper and pencil, calculators and more recently personal computers with two-dimensional software. With the introduction of three-dimensional software, a major shift is occurring on how small structural engineering firms approach analysis and design. This thesis research reviews the analysis of an existing building utilizing the standard two-dimensional approach, including horizontal diaphragm-action within
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SOUSA, Rodrigo Duarte. "Escalonamento adaptativo para sistemas de processamento contínuo de eventos." Universidade Federal de Campina Grande, 2014. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/381.

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Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-04-13T17:23:58Z No. of bitstreams: 1 RODRIGO DUARTE SOUSA - DISSERTAÇÃO - PPGCC 2014..pdf: 3708263 bytes, checksum: d9e59ec276a62382b6317ec8ce6bf880 (MD5)<br>Made available in DSpace on 2018-04-13T17:23:58Z (GMT). No. of bitstreams: 1 RODRIGO DUARTE SOUSA - DISSERTAÇÃO - PPGCC 2014..pdf: 3708263 bytes, checksum: d9e59ec276a62382b6317ec8ce6bf880 (MD5) Previous issue date: 2014-08-04<br>Sistemasde processamento contínuo de eventos vêm sendo utilizados em aplicações que necessitam de um processamento quase em tempo real. Es
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Seshadri, Sangeetha. "Enhancing availability in large scale." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29715.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2009.<br>Committee Chair: Ling Liu; Committee Member: Brian Cooper; Committee Member: Calton Pu; Committee Member: Douglas Blough; Committee Member: Karsten Schwan. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Kamaleswaran, Rishikesan. "CBPsp: complex business processes for stream processing." Thesis, 2011. http://hdl.handle.net/10155/151.

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This thesis presents the framework of a complex business process driven event stream processing system to produce meaningful output with direct implications to the business objectives of an organization. This framework is demonstrated using a case study instantiating the management of a newborn infant with hypoglycaemia. Business processes defined within guidelines, are defined at build-time while critical knowledge found in the definition of business processes are used to support their enactment for stream analysis. Four major research contributions are delivered. The first contribution enabl
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Liu, Rong-Tai, and 劉榮太. "Stream Processing Engine in the Network Intrusion Detection System." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/84357251864564162409.

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博士<br>國立清華大學<br>資訊工程學系<br>93<br>With growing Internet connectivity comes evolving opportunities for attackers to unlawfully access computers over the network. The Network Intrusion Detection Systems (NIDSes) are designed to identify attacks against networks or a host that are invisible to firewalls, thus providing an additional layer of security. The NIDS aims to detect a wide range of security violations ranging from attempted break-ins by outsiders to system penetrations and abuses by insiders. Generally two main methods are used for intrusion detection, namely Pattern Matching and Statistic
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Balazinska, Magdalena, Hari Balakrishnan, Samuel Madden, and Mike Stonebraker. "Availability-Consistency Trade-Offs in a Fault-Tolerant Stream Processing System." 2004. http://hdl.handle.net/1721.1/30506.

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processing. In contrast to previous techniques that handlenode failures, our approach also tolerates network failuresand network partitions. The approach is based on a principledtrade-off between consistency and availability in theface of failure, that (1) ensures that all data on an inputstream is processed within a specified time threshold, but(2) reduces the impact of failures by limiting if possible thenumber of results produced based on partially available inputdata, and (3) corrects these results when failures heal.Our approach is well-suited for applications such as environmentmonitorin
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Chen, Mei-Hsuan, and 陳美璇. "Data Flow Graph Partitioning for Stream Processing in Multi-FPGA Reconfigurable System." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/05549707611165024588.

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碩士<br>國立交通大學<br>資訊工程系<br>91<br>The reconfigurable computing offers computation ability in hardware to increase performance, but also keeps the flexibility in software solution. The multi-FGPA reconfigurable system provides means for dealing with the applications that are too large to fit within a single FPGA, but may be partitioned over multiple FPGA available. The systems have a limited number of I/O pins that connect the FPGAs together, and therefore I/O pins must be used carefully. The object of this thesis is to exploit potential throughput of stream processing in multi-FPGA rec
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Carvalho, José Miguel Saramago de. "PhisioStream : a physiology monitoring system using off-the-shelf stream processing frameworks." Master's thesis, 2018. http://hdl.handle.net/10773/25888.

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The on-going VR2Market research project emerged from a consortium composed of several partners from technology to psychology, including Carnegie Mellow University, United States under the CMU-Portugal program funded by FCT. The VR2Market main objective is to provide a team-wide monitoring solution over context, environmental aspects, and physiology of operating in hazardous professions, First Responders. However, the current solution is not cloud-enabled and relies on custommade components within a centralized design which hinders future evolutions towards more distributed situations. The obje
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