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Статті в журналах з теми "Coded data storage":
Oggier, Frédérique, and Anwitaman Datta. "On Grid Quorums for Erasure Coded Data." Entropy 23, no. 2 (January 30, 2021): 177. http://dx.doi.org/10.3390/e23020177.
Ojima, Masahiro, Atsushi Saito, Toshimitsu Kaku, Masaru Ito, Yoshito Tsunoda, Shinji Takayama, and Yutaka Sugita. "Compact magnetooptical disk for coded data storage." Applied Optics 25, no. 4 (February 15, 1986): 483. http://dx.doi.org/10.1364/ao.25.000483.
Ditlbacher, H., J. R. Krenn, B. Lamprecht, A. Leitner, and F. R. Aussenegg. "Spectrally coded optical data storage by metal nanoparticles." Optics Letters 25, no. 8 (April 15, 2000): 563. http://dx.doi.org/10.1364/ol.25.000563.
Ditlbacher, Harald, Joachim Rudolf Krenn, Bernhard Lamprecht, Alfred Leitner, and Franz Rembert Aussenegg. "Metal Nanoparticles for Spectrally Coded Optical Data Storage." Optics and Photonics News 11, no. 12 (December 1, 2000): 43. http://dx.doi.org/10.1364/opn.11.12.000043.
Ojima, M., Y. Tsunoda, T. Maeda, T. Kaku, A. Saito, S. Takayama, and Y. Sugita. "Compact Magneto-Optical Disk for Coded Data Storage." IEEE Translation Journal on Magnetics in Japan 1, no. 6 (September 1985): 698–99. http://dx.doi.org/10.1109/tjmj.1985.4548917.
Liu, Chengjian, Qiang Wang, Xiaowen Chu, Yiu-Wing Leung, and Hai Liu. "ESetStore: An Erasure-Coded Storage System With Fast Data Recovery." IEEE Transactions on Parallel and Distributed Systems 31, no. 9 (September 1, 2020): 2001–16. http://dx.doi.org/10.1109/tpds.2020.2983411.
Huang, Jianzhong, Panping Zhou, Xiao Qin, Yanqun Wang, and Changsheng Xie. "Optimizing Erasure-Coded Data Archival for Replica-Based Storage Clusters." Computer Journal 62, no. 2 (August 3, 2018): 247–62. http://dx.doi.org/10.1093/comjnl/bxy079.
Xiang, Yu, Tian Lan, Vaneet Aggarwal, and Yih-Farn R. Chen. "Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage." IEEE/ACM Transactions on Networking 24, no. 4 (August 2016): 2443–57. http://dx.doi.org/10.1109/tnet.2015.2466453.
Tajeddine, Razane, Oliver W. Gnilke, and Salim El Rouayheb. "Private Information Retrieval From MDS Coded Data in Distributed Storage Systems." IEEE Transactions on Information Theory 64, no. 11 (November 2018): 7081–93. http://dx.doi.org/10.1109/tit.2018.2815607.
Xu, Liangliang, Min Lyu, Zhipeng Li, Yongkun Li, and Yinlong Xu. "Deterministic Data Distribution for Efficient Recovery in Erasure-Coded Storage Systems." IEEE Transactions on Parallel and Distributed Systems 31, no. 10 (October 1, 2020): 2248–62. http://dx.doi.org/10.1109/tpds.2020.2987837.
Дисертації з теми "Coded data storage":
Licona-Nunez, Jorge Estuardo. "M-ary Runlength Limited Coding and Signal Processing for Optical Data Storage." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5195.
Bothin, Anton. "A Model for Company Document Digitization (CODED) : Proposal for a Process Model for Digitizing Company Documents." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292785.
Det är många företag som vill gå mot att digitalisera sitt arbetsflöde. Många av dessa företag har däremot en avsaknad av den tekniska expertis som krävs. För att assistera företag i detta skulle en processmodell kunna användas som ett redskap för framgångsrik dokumentdigitalisering. Problemet är att det just nu inte existerar någon sådan processmodell för dokumentdigitalisering. Syftet med denna avhandling är att föreslå en processmodell för digitalisering. Målet är att hjälpa företag i att digitalisera både deras dokument och deras arbetsflöde. Hur en sådan processmodell skulle kunna struktureras är denna rapports forskningsfråga. Det fanns ingen existerande modell att utgå ifrån. Därför användes andra modeller inom området för programvaruteknik som en bas under forskningen. Forskningen var kvantitative och explorativ, och den använde designvetenskap som ett forskningsparadigm. En omfattande litteraturstudie genomfördes innan utvecklingen av processmodellen påbörjades. Modellen evaluerades utifrån intervjuer tillsammans med aktionsforskning. Där intervjuerna har fokuserat på att evaluera modellen utifrån fem kriterier: (1) trovärdighet, (2) semantisk korrekthet, (3) syntaktisk korrekthet, (4) användbarhet, och (5) flexibilitet. Resultatet av denna avhandling är ett förslag till en processmodell för att digitalisera dokument, vid namnet CODED (company document digitization process model). Den föreslagna modellen har baserat både på information som samlats från litteraturstudien, och information från intervjuerna. Litteraturstudien visade att processmodellen är unik, då det ej existerade någon likartad modell tidigare. Intervjuerna visade att modellen är valid, då den uppfyllde de definierade evalueringskriterierna.
Ali, Muhammad. "Stockage de données codées et allocation de tâches pour les centres de données à faible consommation d'énergie." Electronic Thesis or Diss., CY Cergy Paris Université, 2023. http://www.theses.fr/2023CYUN1243.
Data centers are responsible for a significant portion of global energy consumption. This consumption is expected to grow in the coming years, driven by the increasing demand for data center services. Therefore, the need for energy-efficient, low-carbon data center operations is growing rapidly.This research focuses on designing and implementing a low-carbon, energy-efficient data center powered by solar and hydrogen, granting it independence from the power grid. As a result, the data center is limited by the upper bound on the energy consumption, which is 10KWh. The maximum usage of energy-constraint imposes several challenges to the design, energy usage, and sustainability of the data center.The work first contributes to designing a low-power budget data center while respecting the overall energy constraint. We tried to save the energy usage of the data center through the right choice of hardware while keeping the performance of the data center intact. The second contribution of our work provides valuable protocols like lazy repair in distributed data storage, job placement, and power management techniques to further reduce the data center's energy usage. With the combined efforts of the right choice of hardware, protocols, and techniques, we significantly reduced the overall energy consumption of the data center
Argon, Cenk. "Turbo product codes for optical communications and data storage." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/15350.
Yang, Sizhen Michael. "Construction of low-density parity-check codes for data storage and transmission." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280665.
Takashima, Yuzuru, Guanghao Chen, and Bo E. Miller. "Eigenmode multiplexing with SLM for volume holographic data storage." SPIE-INT SOC OPTICAL ENGINEERING, 2017. http://hdl.handle.net/10150/626290.
Chang, Cheng. "Reliable and secure storage with erasure codes for OpenStack Swift in PyECLib." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202972.
Molnlagring system har upplevt en snabb tillväxt att spela en viktig roll i molnbaserade tjänster under det senaste decenniet. Bland annat är Openstack Swift en programvara med öppen källköd som ska införa som object lagring system. Dessutom har molnlagring system gjort stora ansträngar för att säkerställa kvaliten av sina tjänster. En av de viktigaste faktorerna av molnlagring system är datashållbarheten. Feltoleransmekanismer spelar en viktig roll för att grantera datastillgångår. Bland annat finns det Replikering och RAID används för att skydda data från förlorade trots att de drabbas av många nackdelar. Erasure kodning kommer som nytt koncept som kan tillämpas i lagringssystem för angelägenheten av datastillgänglighet. Forskningar har visat att det kan ge feltolerans med uppsägningar och samtidigt minska kapaciteten och erbjuder en kompromiss mellan prestanda och kostnad. Projekten gjorde en fördjupad undersökning på Openstack Swift och erasure kodning. Analyserna på raderingskodade och replikationssystem har vidtagits för att jämföra egenskaperna hos båda metoder. En prototyp av anpassade radering koden är att implementeras som förlängning till Swift och erbjuder datalagring med lovande tillförlitlighet och prestanda.
Gastón, Brasó Bernat. "Coding techniques for distributed storage." Doctoral thesis, Universitat Autònoma de Barcelona, 2013. http://hdl.handle.net/10803/129277.
Online data storage is often regarded as a growing business, yet many unresolved issues linger in this specific field and prevent researchers from driving it to full capacity. Data replication (most commonly known as backup) is simply not efficient when improving persistence and accessibility of such data. Error correcting codes are known for their efficiency when adding redundancy to avoid lose of information. Unfortunately, the use of error correcting codes entail additional problems such as the repair problem: how do we replace a storage node downloading as less data as possible from other nodes. In this dissertation, we deepen on state-of-the-art of codes applied to distributed storage systems. Additionally, a family of regenerative codes which we call quasi-cyclic flexible regenerating codes is provided. Quasi-cyclic flexible minimum storage regenerating (QCFMSR) codes are constructed and their existence is well-proven. Quasi-cyclic flexible regenerating codes with minimum bandwidth constructed from a base QCFMSR code are also provided. Quasi-cyclic flexible regenerating codes are very interesting because of their simplicity and low complexity. They allow exact repair-by-transfer in the minimum bandwidth case and an exact pseudo repair-by-transfer in the MSR case, where operations are needed only when a new node enters into the system replacing a lost one. Finally, we propose a new model whereby storage nodes are placed in two racks. This unprecedented two-rack model is generalized to any number of racks. In this specific set-up, storage nodes have different repair costs depending on the rack where they are placed. A threshold function, which minimizes the amount of stored data per node and bandwidth needed to regenerate a failed node, is also shown. This latter threshold function generalizes those given by previous distributed storage models. Tradeoff curves obtained from this threshold function are compared with those obtained from previous models, and it is shown that this new model outperforms previous ones in terms of repair cost.
Harvey, Brett D. "A code of practice for practitioners in private healthcare: a privacy perspective." Thesis, Nelson Mandela Metropolitan University, 2007. http://hdl.handle.net/10948/521.
Jafarizadeh, Saber. "Distributed coding and algorithm optimization for large-scale networked systems." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/13238.
Книги з теми "Coded data storage":
Institute, American National Standards. American national standard for information sciences: Extended latin alphabet coded character set for bibliographic use. New York, N.Y. (1430 Broadway, New York 10018): ANSI, 1985.
Immink, Kees A. Schouhamer. Codes for mass data storage systems. 2nd ed. The Netherlands: Shannon Foundation Publishers, 2004.
Kurtas, Erozan. Advanced error control techniques for data storage systems. Boca Raton, FL: Taylor & Francis, 2005.
Massey, David E. Pulse code modulation (PCM) data storage and analysis using a microcomputer. Wallops Island, Va: Goddard Space Flight Center, 1986.
H, Deng Robert, Illinois Institute of Technology. Dept. of Electrical & Computer Engineering, and United States. National Aeronautics and Space Administration, eds. Error control for reliable digital data transmission and storage systems: Final report. Chicago, IL: Dept. of Electrical & Computer Engineering, Illinois Institute of Technology, 1985.
Carrasco, Rolando Antonio. Non-binary error control coding for wireless communication and data storage. Chichester, West Sussex, U.K: Wiley, 2008.
Rogosa, Morrison. Coding microbiological data for computers. New York: Springer-Verlag, 1986.
Texas System of Natural Laboratories. International base line data coding system (IBLDCS): A method for relating and analyzing national resource data. Edited by Travis Nevenna Tsanoff and Margulis Lynn 1938-2011. 2nd ed. Austin, Tex: Texas System of Natural Laboratories, 2004.
Texas System of Natural Laboratories. International base line data coding system: A methodology for interrelating resource data records and developing analyses of resource problems. Edited by Travis Nevenna Tsanoff and Margulis Lynn 1938-2011. 2nd ed. Austin, Tex: Texas System of Natural Laboratories, 2000.
Blackwell, Cassandra D. National Water Data Exchange (NAWDEX): Explanations of codes used in the master water data index. [Reston, Va.?]: U.S. Dept. of the Interior, Geological Survey, 1985.
Частини книг з теми "Coded data storage":
Denz, C., K. O. Müller, F. Visinka, and T. Tschudi. "A Demonstration Platform for Phase-Coded Multiplexing." In Holographic Data Storage, 419–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-47864-5_28.
Xiao, Yifei, Shijie Zhou, Linpeng Zhong, and Zhao Zhang. "Sector Error-Oriented Durability-Aware Fast Repair in Erasure-Coded Cloud Storage Systems." In Data Mining and Big Data, 445–59. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7502-7_41.
Huang, Qiang, Hui Chen, Bing Wei, Jigang Wu, and Limin Xiao. "Data Delta Based Hybrid Writes for Erasure-Coded Storage Systems." In Lecture Notes in Computer Science, 171–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93571-9_14.
Venkatesan, Vinodh, and Ilias Iliadis. "Effect of Codeword Placement on the Reliability of Erasure Coded Data Storage Systems." In Quantitative Evaluation of Systems, 241–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40196-1_20.
Ling, Zhang, Kuang Ji-shun, and You zhi-qiang. "Test Data Compression Using Four-Coded and Sparse Storage for Testing Embedded Core." In Algorithms and Architectures for Parallel Processing, 434–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13136-3_44.
Wei, Bing, Jigang Wu, Xiaosong Su, Qiang Huang, and Yujun Liu. "Adaptive Updates for Erasure-Coded Storage Systems Based on Data Delta and Logging." In Parallel and Distributed Computing, Applications and Technologies, 187–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96772-7_18.
Deng, Mingzhu, Ming Zhao, Fang Liu, Zhiguang Chen, and Nong Xiao. "DA Placement: A Dual-Aware Data Placement in a Deduplicated and Erasure-Coded Storage System." In Algorithms and Architectures for Parallel Processing, 358–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05051-1_25.
Marcus, B. "Modulation Codes for Holographic Recording." In Holographic Data Storage, 283–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-47864-5_17.
Jaminet, Jean, Gabriel Esquivel, and Shane Bugni. "Serlio and Artificial Intelligence: Problematizing the Image-to-Object Workflow." In Proceedings of the 2021 DigitalFUTURES, 3–12. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5983-6_1.
Pääkkönen, Joonas, Camilla Hollanti, and Olav Tirkkonen. "Device-to-Device Data Storage with Regenerating Codes." In Multiple Access Communications, 57–69. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23440-3_5.
Тези доповідей конференцій з теми "Coded data storage":
Chandramouli, Athreya, Abhinav Vaishya, and Prasad Krishnan. "Coded Data Rebalancing for Distributed Data Storage Systems with Cyclic Storage." In 2022 IEEE Information Theory Workshop (ITW). IEEE, 2022. http://dx.doi.org/10.1109/itw54588.2022.9965756.
Saito, Atsushi, Takeshi Maeda, Hisataka Sugiyama, and Yoshito Tsunoda. "High Storage Density Optical Disks using Pit Edge Recording on Pb-Te-Se Thin Film." In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/ods.1987.wd2.
Lee, Ojus Thomas, S. D. Madhu Kumar, and Priya Chandran. "Erasure coded storage systems for cloud storage — challenges and opportunities." In 2016 International Conference on Data Science and Engineering (ICDSE). IEEE, 2016. http://dx.doi.org/10.1109/icdse.2016.7823943.
Ojima, Masahiro, Atsushi Saito, Toshimitsu Kaku, Masaru Ito, Yoshito Tsunoda, Shinji Takayama, and Yutaka Sugita. "Magneto-Optical Disk For Coded Data Storage." In 1985 Los Angeles Technical Symposium, edited by Robert A. Sprague. SPIE, 1985. http://dx.doi.org/10.1117/12.946425.
Maeda, Takeshi, Atushi Saitoo, Hisataka Sugiyama, Masahiro Ojima, Shinichi Arai, and Kazuo Shigematu. "High Speed, Large Capacity Optical Disk, Using Pit-edge Recording and MCAV Method." In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/ods.1991.wd1.
Katayama, R., A. Ohba, Y. Komatsu, and Y. Ono. "Compact Optical Head Module Integrated with Chip Elements for Magneto-Optical Disks." In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1994. http://dx.doi.org/10.1364/ods.1994.wb3.
Sheth, Utsav, Sanghamitra Dutta, Malhar Chaudhari, Haewon Jeong, Yaoqing Yang, Jukka Kohonen, Teemu Roos, and Pulkit Grover. "An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation." In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622429.
Yang, Jame J., and Michael R. Wang. "Novel Coded High Density Optical Disk Data Storage." In Frontiers in Optics. Washington, D.C.: OSA, 2005. http://dx.doi.org/10.1364/fio.2005.ftuy2.
Aatish, Chiniah, and Mungur Avinash. "Data Management in Erasure-Coded Distributed Storage Systems." In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE, 2020. http://dx.doi.org/10.1109/ccgrid49817.2020.00018.
Esmaili, Kyumars Sheykh, Aatish Chiniah, and Anwitaman Datta. "Efficient updates in cross-object erasure-coded storage systems." In 2013 IEEE International Conference on Big Data. IEEE, 2013. http://dx.doi.org/10.1109/bigdata.2013.6691658.
Звіти організацій з теми "Coded data storage":
Tarko, Andrew P., Jose Thomaz, and Mario Romero. SNIP Light User Manual. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317136.
Calijuri, Mónica, and Andrés Muñoz Miranda. CACAO: Accounting and Organizational Data Storage and Consultation System: Open-Source Software for Tax Administrations. Inter-American Development Bank, March 2023. http://dx.doi.org/10.18235/0004758.
Best, Cody, Carl Hart, and Michael Muhlestein. Data acquisition software for impedance tube measurements. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45740.
Radulescu, Georgeta, and Peter Stefanovic. Review of Experimental Data for Validating Computer Codes Used in Shielding Calculations for Spent Fuel Storage and Transportation Systems. Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/1894203.
Parks, C. V., B. L. Broadhead, O. W. Hermann, J. S. Tang, S. N. Cramer, J. C. Gauthey, B. L. Kirk, and R. W. Roussin. Assessment of shielding analysis methods, codes, and data for spent fuel transport/storage applications. [Radiation dose rates from shielded spent fuels and high-level radioactive waste]. Office of Scientific and Technical Information (OSTI), July 1988. http://dx.doi.org/10.2172/6783967.
Zhylenko, Tetyana I. Auto Checker of Higher Mathematics - an element of mobile cloud education. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3895.
Mehmood, Hamid, Surya Karthik Mukkavilli, Ingmar Weber, Atsushi Koshio, Chinaporn Meechaiya, Thanapon Piman, Kenneth Mubea, Cecilia Tortajada, Kimberly Mahadeo, and Danielle Liao. Strategic Foresight to Applications of Artificial Intelligence to Achieve Water-related Sustainable Development Goals. United Nations University Institute for Water, Environment and Health, April 2020. http://dx.doi.org/10.53328/lotc2968.