Gotowa bibliografia na temat „Data replication”
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Artykuły w czasopismach na temat "Data replication"
Zeng, Wen Ying, and Yue Long Zhao. "Mobile Data Replication Algorithms Based on Agent." Advanced Materials Research 225-226 (April 2011): 957–60. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.957.
Pełny tekst źródłaT.V., Rohini. "Adaptive Dynamic Data Replication with Load-balancing in Distributed Systems." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (2020): 1034–43. http://dx.doi.org/10.5373/jardcs/v12sp3/20201349.
Pełny tekst źródłaFang, Kuo-Chi, Husnu S. Narman, Ibrahim Hussein Mwinyi, and Wook-Sung Yoo. "PPHA-Popularity Prediction Based High Data Availability for Multimedia Data Center." International Journal of Interdisciplinary Telecommunications and Networking 11, no. 1 (2019): 17–29. http://dx.doi.org/10.4018/ijitn.2019010102.
Pełny tekst źródłaSaadat, Nazanin, and Amir Masoud Rahmani. "A Two-Level Fuzzy Value-Based Replica Replacement Algorithm in Data Grids." International Journal of Grid and High Performance Computing 8, no. 4 (2016): 78–99. http://dx.doi.org/10.4018/ijghpc.2016100105.
Pełny tekst źródłaVilkienė, Loreta, Laura Vilkaitė-Lozdienė, Rita Juknevičienė, Justina Bružaitė-Liseckienė, Kinga Geben, and Birutė Ryvitytė. "Is it reliable and valid if it is not replicable? On the importance of replicability in quantitative research." Taikomoji kalbotyra, no. 14 (June 16, 2020): 33–38. http://dx.doi.org/10.15388/taikalbot.2020.14.3.
Pełny tekst źródłaElango, P., K. Kuppusamy, and N. Prabhu. "Data Replication Using Data Mining Techniques." Asian Journal of Computer Science and Technology 8, S1 (2021): 107–9. http://dx.doi.org/10.51983/ajcst-2019.8.s1.1939.
Pełny tekst źródłaJajodia, S. "Data replication gaining popularity." IEEE Concurrency 7, no. 2 (1999): 85–86. http://dx.doi.org/10.1109/mcc.1999.766976.
Pełny tekst źródłaSabaghian, Khatereh, Keyhan Khamforoosh, and Abdolbaghi Ghaderzadeh. "Presentation of a new method based on modern multivariate approaches for big data replication in distributed environments." PLOS ONE 16, no. 7 (2021): e0254210. http://dx.doi.org/10.1371/journal.pone.0254210.
Pełny tekst źródłaHamad Thalij, Saadi, and Veli Hakkoymaz. "A Case Study of Snapshot Replication and Transfer of Data in Distributed Databases." Tikrit Journal of Pure Science 23, no. 10 (2019): 87. http://dx.doi.org/10.25130/j.v23i10.765.
Pełny tekst źródłaSaadi Hamad Thalij and Veli Hakkoymaz. "A Case Study of Snapshot Replication and Transfer of Data in Distributed Databases." Tikrit Journal of Pure Science 23, no. 10 (2019): 97–101. http://dx.doi.org/10.25130/tjps.v23i10.571.
Pełny tekst źródłaRozprawy doktorskie na temat "Data replication"
Martins, Vidal. "Data Replication in P2P Systems." Phd thesis, Université de Nantes, 2007. http://tel.archives-ouvertes.fr/tel-00481828.
Pełny tekst źródłaPamplona, Rodrigo Christovam. "Data replication in mobile computing." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16448.
Pełny tekst źródłaGu, 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.
Pełny tekst źródłaFan, Rui 1977. "Efficient replication of large data objects." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29581.
Pełny tekst źródłaIncludes bibliographical references (p. 77-78).
Replication is an important technique for improving the reliability and scalability of data services. The primary problem encountered in replication is the trade-off between amount of replication, performance, and consistency. A rule of thumb states that any replication algorithm must sacrifice at least one of these criteria. In this thesis, we investigate replicating large data objects, such as files, whose size is large compared to metadata used by the replication algorithm. With this assumption, we present a distributed replication algorithm which simultaneously achieves a high replication factor, nearly optimal performance, and strong data consistency. Furthermore, our algorithm makes only basic assumptions about its environment. Our algorithm works in any asynchronous, reliable message-passing network, without relying on higher level functions such as distributed locking or group communication. Our algorithm is suitable for implementation in both LAN and WAN settings. This thesis is divided into two parts. In the first part, we formally state the assumptions and guarantees of our replication algorithm in terms of its trace properties. We then formally implement our algorithm in the IOA modeling language. We also give rigorous proofs of the algorithm's correctness and its performance analysis. The main idea of our algorithm is to separately maintain copies of the data, and information about the locations of the up-to-date copies. Our algorithm then mostly performs cheap operations on the location information, and avoids expensive operations on the actual data. The second part of this thesis presents two lower bounds on the costs of data replication. The first lower bound gives the minimum number of writes that must occur during a read operation. The second lower bound states that for a certain class of efficient replication algorithms, the replicas must use storage proportional to the maximum number of concurrent writers. The motivation for these lower bounds was certain algorithmic techniques we used in our replication algorithm. The lower bounds suggest that these techniques are necessary. The lower bounds are also of independent interest.
by Rui Fan.
S.M.
Abushnagh, Yousef. "Contention management for distributed data replication." Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/2209.
Pełny tekst źródłaNukarapu, Dharma Teja. "Data replication in data intensive scientific applications with performance guarantee." Thesis, Wichita State University, 2009. http://hdl.handle.net/10057/2515.
Pełny tekst źródłaThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science
Guo, Minzhe. "Algorithmic Mechanism Design for Data Replication Problems." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1470757536.
Pełny tekst źródłaSørensen, Egil. "Derby: Replication and Availability." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8731.
Pełny tekst źródłaThis paper describes the work done to add hot standby replication functionality to the Apache Derby Database Management System. The Apache Derby project is a relational database implemented entirely in Java. Its key advantages are that it has a small footprint and it is based on the standard Java JDBC and SQL standards. It is also easy to install, deploy and use as well as it can be embedded in almost any light-weight Java application. By implementing a hot standby scheme in Apache Derby several features are added. The contents of the database is replicated at run time to another site providing online runtime backup. As the hot standby takes over on faults availability is added in that a client can connect to the hot standby after a crash. Thus the crash is masked from the clients. In addition to this, online upgrades of software and hardware can be done by taking down one database at the time. Then when the upgrade is completed the upgraded server is synchronized and back online with no downtime. A fully functional prototype of the Apache Derby hot standby scheme has been created in this project using logical logs, fail-fast takeovers and logical catchups after an internal up-to-crash recovery and reconnection. This project builds on the ideas that are presented in Derby: Write to Neighbor Mode.
Hähner, Jörg. "Consistent data replication in mobile ad hoc networks." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-29798.
Pełny tekst źródłaRoman, Pierre-Louis. "Exploring heterogeneity in loosely consistent decentralized data replication." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S091/document.
Pełny tekst źródłaDecentralized systems are scalable by design but also difficult to coordinate due to their weak coupling. Replicating data in these geo-distributed systems is therefore a challenge inherent to their structure. The two contributions of this thesis exploit the heterogeneity of user requirements and enable personalizable quality of services for data replication in decentralized systems. Our first contribution Gossip Primary-Secondary enables the consistency criterion Update consistency Primary-Secondary to offer differentiated guarantees in terms of consistency and message delivery latency for large-scale data replication. Our second contribution Dietcoin enriches Bitcoin with diet nodes that can (i) verify the correctness of entire subchains of blocks while avoiding the exorbitant cost of bootstrap verification and (ii) personalize their own security and resource consumption guarantees
Książki na temat "Data replication"
Charron-Bost, Bernadette, Fernando Pedone, and André Schiper. Replication: Theory and practice. Springer-Verlag, 2010.
Oliver, Spatscheck, ed. Web caching and replication. Addison-Wesley, 2002.
1958-, Heddaya Abdelsalam A., and Bhargava Bharat K. 1948-, eds. Replication techniques in distributed systems. Kluwer Academic Publishers, 1996.
Bandi, Reddy Jagan, and Tallman Jeff, eds. Sybase 15.0 replication server administration. Wordware Pub., 2008.
Cook, Jonathan. The DB2 replication certification guide. Prentice Hall PTR, 1999.
Data replication: Tools and techniques for managing distributed information. Wiley Computer Pub., 1997.
Paul, Sujoy. Pro SQL Server 2008 Replication. Apress, 2009.
International Business Machines Corporation. International Technical Support Organization, ed. Smarter Business: Dynamic Information with IBM InfoSphere Data Replication CDC. IBM, 2012.
Mobility management in wireless networks: Data replication strategies and applications. Kluwer Academic·, 2003.
Elmi, Amina H. N. Housing discrimination study: Replication of 1977 measures using current data. The Office, 1991.
Części książek na temat "Data replication"
Özsu, M. Tamer, and Patrick Valduriez. "Data Replication." In Principles of Distributed Database Systems, Third Edition. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8834-8_13.
Pełny tekst źródłaKemme, Bettina. "Data Replication." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_110.
Pełny tekst źródłaÖzsu, M. Tamer, and Patrick Valduriez. "Data Replication." In Principles of Distributed Database Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26253-2_6.
Pełny tekst źródłaKemme, Bettina. "Data Replication." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_110-2.
Pełny tekst źródłaKemme, Bettina. "Data Replication." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_110.
Pełny tekst źródłavan Steen, Maarten. "WAN Data Replication." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_452-2.
Pełny tekst źródłavan Steen, Maarten. "WAN Data Replication." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_452.
Pełny tekst źródłavan Steen, Maarten. "WAN Data Replication." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_452.
Pełny tekst źródłaNajafzadeh, Mahsa, and Suresh Jagannathan. "Geo-Replication Models." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63962-8_186-1.
Pełny tekst źródłaNajafzadeh, Mahsa, and Suresh Jagannathan. "Geo-replication Models." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77525-8_186.
Pełny tekst źródłaStreszczenia konferencji na temat "Data replication"
De Prisco, Roberto, Sergiy Shevchenko, and Pompeo Faruolo. "Blockchain Data Replication." In 20th International Conference on Security and Cryptography. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0012121000003555.
Pełny tekst źródłaPatil, Raksha, and Madhuri Zawar. "Improving replication results through directory server data replication." In 2017 International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2017. http://dx.doi.org/10.1109/icoei.2017.8300788.
Pełny tekst źródłaAl-Ekram, Raihan, and Ric Holt. "Multi-consistency Data Replication." In 2010 IEEE 16th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2010. http://dx.doi.org/10.1109/icpads.2010.67.
Pełny tekst źródłaLin, Henry, J. H. Abawajy, and Rajkumar Buyya. "Economy-Based Data Replication Broker." In 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06). IEEE, 2006. http://dx.doi.org/10.1109/e-science.2006.261174.
Pełny tekst źródłaHuang, Yixiu, Prasad Sistla, and Ouri Wolfson. "Data replication for mobile computers." In the 1994 ACM SIGMOD international conference. ACM Press, 1994. http://dx.doi.org/10.1145/191839.191845.
Pełny tekst źródłaJianfeng, Zhu, Qin Leihua, Zeng Dong, and Zhou Jinli. "A Duplicate-Aware Data Replication." In 2008 Japan-China Joint Workshop on Frontier of Computer Science and Technology (FCST). IEEE, 2008. http://dx.doi.org/10.1109/fcst.2008.34.
Pełny tekst źródłaSathya, S. Siva, S. Kuppuswami, and R. Ragupathi. "Replication Strategies for Data Grids." In 2006 International Conference on Advanced Computing and Communications. IEEE, 2006. http://dx.doi.org/10.1109/adcom.2006.4289868.
Pełny tekst źródłaBrinkmann, André, and Sascha Effert. "Data replication in p2p environments." In the twentieth annual symposium. ACM Press, 2008. http://dx.doi.org/10.1145/1378533.1378570.
Pełny tekst źródłaPing, Fan, Xiaohu Li, Christopher McConnell, Rohini Vabbalareddy, and Jeong-Hyon Hwang. "Towards Optimal Data Replication Across Data Centers." In 2011 31st International Conference on Distributed Computing Systems Workshops (ICDCS Workshops). IEEE, 2011. http://dx.doi.org/10.1109/icdcsw.2011.49.
Pełny tekst źródłaRen, Kun, Zhanhuai Li, Chao Wang, and Nan Jiang. "Design of Data Replication System on FreeBSD." In 2010 International Conference on Data Storage and Data Engineering (DSDE). IEEE, 2010. http://dx.doi.org/10.1109/dsde.2010.15.
Pełny tekst źródłaRaporty organizacyjne na temat "Data replication"
Perez, David, and Andrew Hendrian. Advanced Patient Data Replication and Recovery. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada564156.
Pełny tekst źródłaPerez, David, and Andrew E. Hendrian. Advanced Patient Data Replication and Recovery at Eisenhower. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada563928.
Pełny tekst źródłaNguyen-Tuong, Anh, Andrew S. Grimshaw, and John F. Karpovich. Fault Tolerance via Replication in Coarse Grain Data-Flow. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada447046.
Pełny tekst źródłaKang, Myong H., Judith N. Froscher, John McDermott, Oliver Costich, and Rodney Peyton. Achieving Database Security Through Data Replication: The Sintra Prototype. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada464289.
Pełny tekst źródłaDouglas Kuflick Wood, Benjamin, and Michell Dong. Recalling extra data: a replication study of Finding missing markets. International Initiative for Impact Evaluation (3ie), 2015. http://dx.doi.org/10.23846/rps0005.
Pełny tekst źródłaTalamas Marcos, Miguel Ángel. Data and Replication Materials for Grandmothers and the Gender Gap in the Mexican Labor Market. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004798.
Pełny tekst źródłaTegethoff, Thomas. Replication Data for: Strategy and additive technologies as the catalyst for outsourcing, process innovation and operational effectiveness. CESA, 2022. http://dx.doi.org/10.57130/fk2/szekno.
Pełny tekst źródłaMatthew, Gray. Data from "Winter is Coming – Temperature Affects Immune Defenses and Susceptibility to Batrachochytrium salamandrivorans". University of Tennessee, Knoxville Libraries, 2021. http://dx.doi.org/10.7290/t7sallfxxe.
Pełny tekst źródłaChejanovsky, Nor, and Suzanne M. Thiem. Isolation of Baculoviruses with Expanded Spectrum of Action against Lepidopteran Pests. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7586457.bard.
Pełny tekst źródłaRodgers, A., Natalie Coon, and Scott Finfrock. SCALE Calculations Replicating ARH-600 Data. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1886624.
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