Relevant bibliographies by topics / Distributed data system

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Distributed data system'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Distributed data system"

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K., Dhinakaran. "Distributed Data Analytics for Improving Indian Economical Growth Using Recommendation System." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 134–40. http://dx.doi.org/10.5373/jardcs/v12sp4/20201474.

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Paul Beattie, W., and Lance R. Bailey. "A distributed data entry system." Controlled Clinical Trials 10, no. 3 (September 1989): 343. http://dx.doi.org/10.1016/0197-2456(89)90155-4.

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Liu, Ying, Jiarong Luo, Guiming Li, Yingfei Zhu, and Shi Li. "The EAST distributed data system." Fusion Engineering and Design 82, no. 4 (June 2007): 339–43. http://dx.doi.org/10.1016/j.fusengdes.2007.02.014.

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Butner, David N., Marena Drlik, William H. Meyer, Jeffrey M. Moller, and George G. Preckshot. "Integrated, multivendor distributed data‐acquisition system." Review of Scientific Instruments 59, no. 8 (August 1988): 1786–88. http://dx.doi.org/10.1063/1.1140112.

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NAKANO, Tsukasa, and Naoyuki FUJII. "Processing System for Two-dimensionally Distributed Data : (2) Interpolation for Irregularly Distributed Data." Geological data processing 1989, no. 14B (1989): 113–32. http://dx.doi.org/10.6010/geoinformatics1975.1989.14b_113.

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Hall, I. K., and P. D. Stigall. "Distributed flight control system using fiber distributed data interface (FDDI)." IEEE Aerospace and Electronic Systems Magazine 7, no. 6 (June 1992): 21–33. http://dx.doi.org/10.1109/62.145116.

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O., Orlunwo Placida, and Prince Oghenekaro A. "DISTRIBUTED DATABASE MANAGEMENT SYSTEM (DBMS) ARCHITECTURES AND DISTRIBUTED DATA INDEPENDENCE." International Journal of Computer Science and Mobile Computing 10, no. 1 (January 28, 2021): 23–48. http://dx.doi.org/10.47760/ijcsmc.2021.v10i01.004.

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Leong, K. K., K. M. Yu, and W. B. Lee. "Product data allocation for distributed product data management system." Computers in Industry 47, no. 3 (March 2002): 289–98. http://dx.doi.org/10.1016/s0166-3615(01)00152-x.

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Grzybowski, Piotr, Maciej Klimczuk, and Pawel Rzucidlo. "Distributed measurement system based on CAN data bus." Aircraft Engineering and Aerospace Technology 90, no. 8 (November 5, 2018): 1249–58. http://dx.doi.org/10.1108/aeat-11-2017-0247.

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Purpose This paper aims to describe the idea behind and design of a miniaturized distributed measurement system based on a controller area network (CAN) data bus. Design/methodology/approach The intention of the designers was to build a light and modular measurement system which can be used in remotely piloted aircraft systems and ultra-light aircraft during flight tests, as well as normal operation. The structure of this distributed measurement system is based on a CAN data bus. The CAN aerospace standard has been applied to the software as well as the hardware comprising this system. PRP-W2 software designed for PCs is an additional component of the proposed measurement system. This software supports data acquisition from a recorder unit and allows for preliminary data analysis, as well as data conversion and presentation. Findings The system, complete with a high-speed data recorder, was successfully installed on board of an MP-02 Czajka aircraft. A research experiment using the system and oriented on airframe high frequency vibration analysis is presented in the final part of this paper. Research limitations/implications This measurement system allows analysis of high-frequency vibrations occurring at selected points of the aircraft. A data set is recorded by three-axis accelerometers and gyroscopes at frequencies up to 1 kHz. Practical implications The use of a miniature and lightweight modular measurement system will, in many cases, be faster and less expensive than full-scale measurement and data acquisition systems, which often require a lengthy assembly process. The implementation of this class of lightweight flight test systems has many advantages, in particular to the operation of small aircraft. Such solutions are likely to become increasingly common in unmanned aerial vehicles and in other light aircraft in the future. Originality/value The adaptation of a distributed measuring system with a high frequency of measurements for purposes of small and miniature aircraft.
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Shin, Ji Eun, Byung Ho Jung, and Dong Hoon Lim. "Big data distributed processing system using RHadoop." Journal of the Korean Data and Information Science Society 26, no. 5 (September 30, 2015): 1155–66. http://dx.doi.org/10.7465/jkdi.2015.26.5.1155.

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Dissertations / Theses on the topic "Distributed data system"

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Mészáros, István. "Distributed P2P Data Backup System." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236378.

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Tato diplomová práce představuje model a prototyp kooperativního distributivního systému zálohování dat založeném na P2P komunikační síti. Návrh systému umožňuje uživatelům přispět svým lokálním volným místem na disku do systému výměnou za spolehlivé úložiště jejich dat u jiných uživatelů. Představené řešení se snaží splnit požadavky uživatelů na ukládání dat, zároveň však také řeší, jak se vypořádat s mírou nepředvídatelnosti uživatelů  ohledně poskytování volného místa. To je prováděno dvěma způsoby - využitím Reed - Solomon kódů a zároveň také tím, že poskytuje možnost nastavení parametrů dostupnosti. Jedním z těchto parametrů je časový rozvrh, který značí, kdy uživatel může nabídnout předvídatelný přínos do systému. Druhý parametr se týká spolehlivosti konkrétního uživatele v rámci jeho slíbeného časového úseku. Systém je schopen najít synchronizaci ukládaných dat na základě těchto parametrů. Práce se zaměřuje rovněž na řešení zabezpečení systému proti širšímu spektru možných útoků. Hlavním cílem je publikovat koncept a prototyp. Jelikož se jedná o relativně nové řešení, je důležitá také zpětná vazba od široké veřejnosti, která může produkt používat. Právě jejich komentáře a připomínky jsou podnětem pro další vývoj systému.
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PENHARLOW, DAVID. "MICROMINIATURE DISTRIBUTED DATA ACQUISITION SYSTEM." International Foundation for Telemetering, 1990. http://hdl.handle.net/10150/613485.

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International Telemetering Conference Proceedings / October 29-November 02, 1990 / Riviera Hotel and Convention Center, Las Vegas, Nevada
The new generation of advanced tactical aircraft and missiles places unique demands on the electronic and mechanical designs for flight test instrumentation, high bit rates, operating temperature range and system interconnect wiring requirements. This paper describes a microminiature PCM distributed data acquisition system with integral signal conditioning (MMSC) which has been used in advanced aircraft and missile flight testing. The MMSC system is constructed from microminiature, stackable modules which allow the user to reconfigure the system as the requirements change. A second system is also described which uses the same circuitry in hermetic hybrid packages on plug-in circuit boards.
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Berdugo, Albert. "ADVANCED DISTRIBUTED WIDEBAND DATA ACQUISITION SYSTEM." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/604918.

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ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada
Wideband data acquisition units have been used as part of an instrumentation system for several decades. Historically, these units operated asynchronously from each other, and from the rest of the instrumentation system when installed on the same test vehicle. When many wideband units are required to slave their formats or sampling rate to the test vehicle’s event of interest such as external computer event clock, radar, or laser pulse train; few solutions were available. Additionally, a single test vehicle may use ten to thirty wideband units operating at up to 20 Mbps each. Such systems present a challenge to the instrumentation engineers to synchronize, transmit safety of flight information, and record. This paper will examine a distributed wideband data acquisition system in which each acquisition unit operates under its own data rate and format, yet remains fully synchronized to an external fixed or variable simultaneous sampling rate to provide total system coherency. The system aggregate rate can be as low as a few Mbps to as high as 1 Gbps. Data acquired from the acquisition units is further multiplexed per IRIG-106 chapter 10 using distributed data multiplexers for recording.
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Aga, Svein. "System Recovery in Large-Scale Distributed Storage Systems." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9724.

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This report aims to describe and improve a system recovery process in large-scale storage systems. Inevitable, a recovery process results in the system being loaded with internal replication of data, and will extensively utilize several storage nodes. Such internal load can be categorized and generalized into a maintenance workload class. Obviously, a storage system will have external clients which also introduce load into the system. This can be users altering their data, uploading new content, etc. Load generated by clients can be generalized into a production workload class. When both workload classes are actively present in a system, i.e. the system is recovering while users are simultaneously accessing their data, there will be a competition of system resources between the different workload classes. The storage must ensure Quality of Service (QoS) for each workload class so that both are guaranteed system resources. We have created Dynamic Tree with Observed Metrics (DTOM), an algorithm designed to gracefully throttle resources between multiple different workload classes. DTOM can be used to enforce and ensure QoS for the variety of workloads in a system. Experimental results demonstrate that DTOM outperforms another well-known scheduling algorithm. In addition, we have designed a recovery model which aims to improve handling of critical maintenance workload. Although the model is intentionally intended for system recovery, it can also be applied to many other contexts.

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Gu, Xuan. "Selective Data Replication for Distributed Geographical Data Sets." Thesis, University of Canterbury. Computer Science and Software Engineering, 2008. http://hdl.handle.net/10092/2545.

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The main purpose of this research is to incorporate additional higher-level semantics into the existing data replication strategies in such a way that their flexibility and performance can be improved in favour of both data providers and consumers. The resulting approach from this research is referred to as the selective data replication system. With this system, the data that has been updated by a data provider is captured and batched into messages known as update notifications. Once update notifications are received by data consumers, they are used to evaluate so-called update policies, which are specified by data consumers containing details on when data replications need to occur and what data needs to be updated during the replications.
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Wong, León Kevin, and Valdivia Diego Eduardo Antonio Rodríguez. "Distributed Social Media System - Multimedia Data Linkage." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2014. http://hdl.handle.net/10757/324525.

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Actualmente, las redes sociales en línea son uno de los principales medios donde se intercambia gran cantidad de información. En estas, los usuarios intentan reflejar su actividad diaria en forma de publicaciones en sus muros o de otros usuarios. Asimismo, las imágenes representan gran parte de la información sobre la actividad del usuario, por ejemplo, una foto en donde esté etiquetado. Estas interacciones del usuario en las redes ayudan a generar su identidad digital. La información revelada por la metadata de las imágenes enriquece este perfil y contribuye a mejorar los resultados en procesos como minería de datos, marketing, etc. El objetivo de este proyecto es generar un perfil digital en base a la información y actividad que contribuye un usuario a una red social, recopilando y mostrando explícitamente varios hechos que se revelan aprovechando la metadata de las imágenes y el factor temporal de la actividad en línea. Esto incluye el proceso de extracción, enriquecimiento y encapsulación de data en un modelo ontológico propuesto. Los resultados de los experimentos muestran que la información en el perfil, luego del enriquecimiento, es aproximadamente cuatro veces la información inicial, y la precisión de la nueva información está por encima del 75%. Trabajos futuros se inclinan hacia la detección del tipo de relación que existe entre una persona y uno de sus contactos. Asimismo, otro tema relevante a explorar incluye la extracción de un mayor rango de entidades, tales como eventos o temas de interés de un individuo, con el fin de mejorar el perfil digital del usuario. Finalmente, la minería de datos en el proceso de extracción de información ayudaría a enfocar mejor el marketing a los usuarios de redes sociales ya que dicha publicidad podría hacerse más personalizada. Palabras clave Linked data, información multimedia, perfil digital, redes sociales, metadata
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Meth, Halli Elaine. "DecaFS: A Modular Distributed File System to Facilitate Distributed Systems Education." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1206.

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Data quantity, speed requirements, reliability constraints, and other factors encourage industry developers to build distributed systems and use distributed services. Software engineers are therefore exposed to distributed systems and services daily in the workplace. However, distributed computing is hard to teach in Computer Science courses due to the complexity distribution brings to all problem spaces. This presents a gap in education where students may not fully understand the challenges introduced with distributed systems. Teaching students distributed concepts would help better prepare them for industry development work. DecaFS, Distributed Educational Component Adaptable File System, is a modular distributed file system designed for educational use. The goal of the system is to teach distributed computing concepts to undergraduate and graduate level students by allowing them to develop small, digestible portions of the system. The system is broken up into layers, and each layer is broken up into modules so that students can build or modify different components in small, assignment- sized portions. Students can replace modules or entire layers by following the DecaFS APIs and recompiling the system. This allows the behavior of the DFS (Distributed File System) to change based on student implementation, while providing base functionality for students to work from. Our implementation includes a code base of core DecaFS Modules that students can work from and basic implementations of non-core DecaFS Modules. Our basic non-core modules can be modified to implement more complex distribution techniques without modifying core modules. We have shown the feasibility of developing a modular DFS, while adhering to requirements such as configurable sizes (file, stripe, chunk) and support of multiple data replication strategies.
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Coffey, Thomas. "A distributed global-wide security system." Thesis, University of Ulster, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260989.

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Mota, Gilberto Ferreira. "Radar data processing using a distributed computational system." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/24022.

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This research specifies and validates a new concurrent decomposition scheme, called Confined Space Search Decomposition (CSSD), to exploit parallelism of Radar Data Processing algorithms using a Distributed Computational System. To formalize the specification we propose and apply an object-oriented methodology called Decomposition Cost Evaluation Model (DCEM). To reduce the penalties of load imbalance we propose a distributed dynamic load balance heuristic called Object Reincarnation (OR). To validate the research we first compare our decomposition with an identified alternative using the proposed DCEM model and then develop a theoretical prediction of selected parameters. We also develop a simulation to check the Object Reincarnation concept.
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Abdul-Huda, Bilal Anas Hamed. "A system for managing distributed multi-media data." Thesis, University of Ulster, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328195.

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Books on the topic "Distributed data system"

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Distributed system design. Boca Raton, FL: CRC Press, 1999.

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Reliable distributed system software. Silver Spring, MD: IEEE Computer Society Press, 1985.

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P, Agrawal D., ed. Advances in distributed system reliability. Los Alamitos, Calif: IEEE Computer Society Press, 1990.

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1961-, Gretzinger Michael R., ed. Distributed object-oriented data-systems design. Englewood Cliffs, N.J: Prentice Hall, 1992.

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Veríssimo, Paulo. Distributed systems for system architects. Boston: Kluwer Academic, 2001.

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1963-, Rodrigues Luís, ed. Distributed systems for system architects. Boston: Kluwer Academic, 2001.

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Bilal Anas Hamed Al-Khamash Abul-huda. A system for managing distributed multi-media data. [s.l: The Author], 1989.

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Bilal Anas Hamed Abul-Huda Al-Khamash. A system for managing distributed multi-media data. [s.l: The Author], 1989.

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Mota, Gilberto Ferreira. Radar data processing using a distributed computational system. Monterey, Calif: Naval Postgraduate School, 1992.

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Black, Uyless D. Data communications and distributed networks. 3rd ed. Englewood Cliffs, N.J: Prentice Hall, 1993.

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Book chapters on the topic "Distributed data system"

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Weik, Martin H. "distributed data processing system." In Computer Science and Communications Dictionary, 443. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5395.

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Suthaharan, Shan. "Distributed File System." In Machine Learning Models and Algorithms for Big Data Classification, 79–97. Boston, MA: Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7641-3_4.

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Jia, Calvin, and Haoyuan Li. "Virtual Distributed File System: Alluxio." In Encyclopedia of Big Data Technologies, 1753–58. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77525-8_321.

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Jia, Calvin, and Haoyuan Li. "Virtual Distributed File System: Alluxio." In Encyclopedia of Big Data Technologies, 1–6. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63962-8_321-1.

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Lodi, Stefano, Ricardo Ñanculef, and Claudio Sartori. "L2-SVM Training with Distributed Data." In Multiagent System Technologies, 208–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04143-3_21.

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Artiba, A., V. V. Emelyanov, and S. I. Iassinovski. "Distributed Data Base Control System Model." In Introduction to Intelligent Simulation: The RAO Language, 381–96. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5709-8_14.

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Mesarina, Malena, Cyril Brignone, Tim Connors, Mehrban Jam, Geoff Lyon, Salil Pradhan, and Bill Serra. "A Self-Configuring Sensing System for Data Centers." In Self-Managing Distributed Systems, 200–201. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39671-0_19.

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Siegel, Howard Jay. "The PASM System and Parallel Image Processing." In Computer Architectures for Spatially Distributed Data, 95–119. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82150-9_6.

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Kim, Kwang-Baek, Jae-Hyun Nam, and Am-Suk Oh. "Data Reduction in Human Vision System." In Parallel and Distributed Computing: Applications and Technologies, 9–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30501-9_3.

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Davcev, Danco, Dusan Cakmakov, and Vanco Cabukovski. "A Knowledge-Based Multimedia Distributed System Model." In Knowledge, Data and Computer-Assisted Decisions, 233–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84218-4_18.

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Conference papers on the topic "Distributed data system"

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Gallizzi, Edmund, and Quinton Zondervan. "Distributed data flow computing system." In the 30th annual Southeast regional conference. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/503720.503770.

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Koo, Yongbon, and SungHoon Kim. "Distributed Logging System for ROS-Based Systems." In 2019 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2019. http://dx.doi.org/10.1109/bigcomp.2019.8679372.

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Xu, Lei, Ziling Huang, Hong Jiang, Lei Tian, and David Swanson. "VSFS: A Searchable Distributed File System." In 2014 9th Parallel Data Storage Workshop (PDSW). IEEE, 2014. http://dx.doi.org/10.1109/pdsw.2014.10.

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Kashfi, Mehdi, and Abdolreza Hajmoosaei. "Optimal Distributed Data Warehouse System Architecture." In 2014 IEEE International Conference on Big Data and Cloud Computing (BdCloud). IEEE, 2014. http://dx.doi.org/10.1109/bdcloud.2014.52.

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Zhivchikova, Nadezhda Sergeevna, and Yury Vladimirovich Shevchuk. "Scalable distributed sensor data archiving system." In 19th Scientific Conference “Scientific Services & Internet – 2017”. Keldysh Institute of Applied Mathematics, 2017. http://dx.doi.org/10.20948/abrau-2017-35.

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Tsao, Shiao-Li, Meng-Chang Chen, Jan-Ming Ho, and Ming-Tat Ko. "Dynamic load adjustment on distributed video server system." In Voice, Video, and Data Communications, edited by C. C. Jay Kuo, Shih-Fu Chang, and Venkat N. Gudivada. SPIE, 1997. http://dx.doi.org/10.1117/12.290333.

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Cheriere, Nathanael, and Gabriel Antoniu. "How fast can one scale down a distributed file system?" In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8257922.

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Swearingen, Thomas, Will Drevo, Bennett Cyphers, Alfredo Cuesta-Infante, Arun Ross, and Kalyan Veeramachaneni. "ATM: A distributed, collaborative, scalable system for automated machine learning." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8257923.

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Li, Hui, Jiawei Hu, Huajun Ma, and Ting Huang. "The architecture of distributed storage system under mimic defense theory." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258227.

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Lu, Lijia, Hui Li, Jun Chen, Bing Zhu, and Weijuan Yin. "On the implementation of Zigzag codes for distributed storage system." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363951.

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Reports on the topic "Distributed data system"

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Hall, R. C. The Product Data Network and Distributed Data System: Node configuration. Office of Scientific and Technical Information (OSTI), July 1989. http://dx.doi.org/10.2172/6024742.

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Shackelford, Douglas E., John B. Smith, Joan Boone, and Barry Elledge. The UNC Graph Server: A Distributed Hypermedia Data Management System. Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada242041.

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Marr, T. G. A computer system for access to distributed genome mapping data. Office of Scientific and Technical Information (OSTI), February 1992. http://dx.doi.org/10.2172/5714165.

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Marr, T. G. A computer system for access to distributed genome mapping data. Progress report. Office of Scientific and Technical Information (OSTI), February 1992. http://dx.doi.org/10.2172/10129309.

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Robertson, D. W. Use of a distributed movie-making system for presentation of fluid flow data. Office of Scientific and Technical Information (OSTI), May 1988. http://dx.doi.org/10.2172/5921002.

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Garzoglio, Gabriele. A Globally Distributed System for Job, Data, and Information Handling for High Energy Physics. Office of Scientific and Technical Information (OSTI), January 2006. http://dx.doi.org/10.2172/875536.

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Igor V. Terekhov. Distributed processing and analysis of physics data in the D0 SAM system at Fermilab. Office of Scientific and Technical Information (OSTI), August 2001. http://dx.doi.org/10.2172/785150.

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Loomis, Mary, and Mark Lipp. Integrated Information Support System (IISS). Volume 5. Common Data Model Subsystem. Part 26. Distributed Request Supervisor Development Specification. Fort Belvoir, VA: Defense Technical Information Center, November 1985. http://dx.doi.org/10.21236/ada181710.

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Althoff, J. L., and M. L. Apicella. Integrated Information Support System (IISS). Volume 5. Common Data Model Subsystem. Part 27. Distributed Request Supervisor Product Specification. Fort Belvoir, VA: Defense Technical Information Center, November 1985. http://dx.doi.org/10.21236/ada182014.

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Althoff, J. L., and M. L. Apicella. Integrated Information Support System (IISS). Volume 5. Common Data Model Subsystem. Part 26. Distributed Request Supervisor Development Specification. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada250463.

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