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Статті в журналах з теми "Large Scale Applications Implementing"
Honea, Rosemary, and Bonnie Mensch. "Maintaining continuity of clinical operations while implementing large-scale filmless operations." Journal of Digital Imaging 12, S1 (May 1999): 50–53. http://dx.doi.org/10.1007/bf03168754.
Повний текст джерелаDong, Biao. "Architecting Large Scale Wireless Sensor Networks Publish/Subscribe Applications: A Graph-Oriented Approach." Applied Mechanics and Materials 321-324 (June 2013): 2768–71. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2768.
Повний текст джерелаStephen Dass A. and Prabhu J. "Ameliorating the Privacy on Large Scale Aviation Dataset by Implementing MapReduce Multidimensional Hybrid k-Anonymization." International Journal of Web Portals 11, no. 2 (July 2019): 14–40. http://dx.doi.org/10.4018/ijwp.2019070102.
Повний текст джерелаMishra, Nilamadhab, Chung-Chih Lin, and Hsien-Tsung Chang. "A Cognitive Adopted Framework for IoT Big-Data Management and Knowledge Discovery Prospective." International Journal of Distributed Sensor Networks 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/718390.
Повний текст джерелаKareekunnan, Afsal, Tatsufumi Agari, Takeshi Kudo, Shunsuke Niwa, Yoshito Abe, Takeshi Maruyama, Hiroshi Mizuta, and Manoharan Muruganathan. "Graphene electric field sensor for large scale lightning detection network." AIP Advances 12, no. 9 (September 1, 2022): 095209. http://dx.doi.org/10.1063/5.0095449.
Повний текст джерелаLapidus, Azariy, and Ivan Abramov. "Implementing large-scale construction projects through application of the systematic and integrated method." IOP Conference Series: Materials Science and Engineering 365 (June 2018): 062002. http://dx.doi.org/10.1088/1757-899x/365/6/062002.
Повний текст джерелаAmanda Hickey, Margaret Henning, and Lissa Sirois. "Lessons Learned During Large-Scale Implementation Project Focused on Workplace Lactation Practices and Policies." American Journal of Health Promotion 36, no. 3 (November 20, 2021): 477–86. http://dx.doi.org/10.1177/08901171211055692.
Повний текст джерелаOrtt, Roland, Claire Stolwijk, and Matthijs Punter. "Implementing Industry 4.0: assessing the current state." Journal of Manufacturing Technology Management 31, no. 5 (August 10, 2020): 825–36. http://dx.doi.org/10.1108/jmtm-07-2020-0284.
Повний текст джерелаGilpin, William. "Cryptographic hashing using chaotic hydrodynamics." Proceedings of the National Academy of Sciences 115, no. 19 (April 23, 2018): 4869–74. http://dx.doi.org/10.1073/pnas.1721852115.
Повний текст джерелаAndre, Walder. "Efficient adaptation of the Karatsuba algorithm for implementing on FPGA very large scale multipliers for cryptographic algorithms." International Journal of Reconfigurable and Embedded Systems (IJRES) 9, no. 3 (November 1, 2020): 235. http://dx.doi.org/10.11591/ijres.v9.i3.pp235-241.
Повний текст джерелаДисертації з теми "Large Scale Applications Implementing"
Smaragdakis, Ioannis. "Implementing large-scale object-oriented components /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.
Повний текст джерелаMartínez, Trujillo Andrea. "Dynamic Tuning for Large-Scale Parallel Applications." Doctoral thesis, Universitat Autònoma de Barcelona, 2013. http://hdl.handle.net/10803/125872.
Повний текст джерелаThe current large-scale computing era is characterised by parallel applications running on many thousands of cores. However, the performance obtained when executing these applications is not always what it is expected. Dynamic tuning is a powerful technique which can be used to reduce the gap between real and expected performance of parallel applications. Currently, the majority of the approaches that offer dynamic tuning follow a centralised scheme, where a single analysis module, responsible for controlling the entire parallel application, can become a bottleneck in large-scale contexts. The main contribution of this thesis is a novel model that enables decentralised dynamic tuning of large-scale parallel applications. Application decomposition and an abstraction mechanism are the two key concepts which support this model. The decomposition allows a parallel application to be divided into disjoint subsets of tasks which are analysed and tuned separately. Meanwhile, the abstraction mechanism permits these subsets to be viewed as a single virtual application so that global performance improvements can be achieved. A hierarchical tuning network of distributed analysis modules fits the design of this model. The topology of this tuning network can be configured to accommodate the size of the parallel application and the complexity of the tuning strategy being employed. It is from this adaptability that the model's scalability arises. To fully exploit this adaptable topology, in this work a method is proposed which calculates tuning network topologies composed of the minimum number of analysis modules required to provide effective dynamic tuning. The proposed model has been implemented in the form of ELASTIC, an environment for large-scale dynamic tuning. ELASTIC presents a plugin architecture, which allows different performance analysis and tuning strategies to be applied. Using ELASTIC, experimental evaluation has been carried out on a synthetic and a real parallel application. The results show that the proposed model, embodied in ELASTIC, is able to not only scale to meet the demands of dynamic tuning over thousands of processes, but is also able to effectively improve the performance of these applications.
Dacosta, Italo. "Practical authentication in large-scale internet applications." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44863.
Повний текст джерелаRoy, Yagnaseni. "Modeling nanofiltration for large scale desalination applications." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100096.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 91-94).
The Donnan Steric Pore Model with dielectric exclusion (DSPM-DE) is implemented over flatsheet and spiral-wound leaves to develop a comprehensive model for nanofiltration modules. This model allows the user to gain insight into the physics of the nanofiltration process by allowing one to adjust and investigate effects of membrane charge, pore radius, and other membrane characteristics. The study shows how operating conditions such as feed flow rate and pressure affect the recovery ratio and solute rejection across the membrane. A comparison is made between the results for the flat-sheet and spiral-wound configurations. The comparison showed that for the spiral-wound leaf, the maximum values of transmembrane pressure, flux and velocity occur at the feed entrance (near the permeate exit), and the lowest value of these quantities are at the diametrically opposite corner. This is in contrast to the flat-sheet leaf, where all the quantities vary only in the feed flow direction. However it is found that the extent of variation of these quantities along the permeate flow direction in the spiral-wound membrane is negligibly small in most cases. Also, for identical geometries and operating conditions, the flatsheet and spiral-wound configurations give similar results. Thus the computationally expensive and complex spiral-wound model can be replaced by the flat-sheet model for a variety of purposes. In addition, the model was utilized to predict the performance of a seawater nanofiltration system which has been validated with the data obtained from a large-scale seawater desalination plant, thereby establishing a reliable model for desalination using nanofiltration.
by Yagnaseni Roy.
S.M.
Huang, Jen-Cheng. "Efficient simulation techniques for large-scale applications." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53963.
Повний текст джерелаVerdugo, Retamal Cristian Andrés. "Photovoltaic power converter for large scale applications." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672343.
Повний текст джерелаLa mayoría de los sistemas fotovoltaicos de gran escala tienen una configuraci ón centralizada con convertidores de dos otres niveles de tensión de salida conectados a paneles fotovoltaicos. Con el desarrollo de los convertidores multinivel, nuevas topologías han aparecido para reemplazar las configuraciones usadas actualmente en aplicaciones fotovoltaicas, reduciendo los requerimientos de grandes filtros, incrementando los niveles de tensi ón de operación y mejorando la calidad de la potencia. Uno de los mayores desafíos de los convertidores multinivel en aplicaciones fotovoltaicas de gran escala es la presencia de corrientes de fuga y tensiones de flotación debido al significante aumento de módulos de potencia conectados en serie. Para solucionar este problema, los convertidores multinivel incluyen transformadores de alta o baja frecuencia, los cuales proveen aislación galvánica a los paneles fotovoltaicos. El Convertidor Cascada con Puente H y transformadores de alta frecuencia en una segunda etapa de conversión ha proporcionado una solución prometedora para aplicaciones de gran escala, ya que elimina el problema de tensión de flotación y además proporciona una etapa de control independiente al bus dc. En un esfuerzo de integrar transformadores en el lado de corriente alterna para evitar una segunda etapa de conversión, los Convertidores Multinivel con Transformadores en Cascada (CTMI) han sido propuestos para aplicaciones fotovoltaicas. Estas configuraciones utilizan el secundario del transformador para crear la conexi ón serie, mientras que el primario es conectado a cada módulo de potencia, satisfaciendo los requisitos de aislaci ón y proporcionando diferentes posibilidades de conexiones en los devanados para generar configuraciones sim étricas y asimétricas. Considerando los requisitos de convertidores multinivel para aplicaciones fotovoltaicas de gran escala, el principal propósito de esta tesis es desarrollar una configuración de convertidor multinivel el cual proporcione aislación galvánica a todos sus módulos, además de un control independiente para la potencia generada. La configuraci ón propuesta se llama Convertidor Multi-Modular Aislado (IMMC) y proporciona aislaci ón galvánica a través de transformadores en el lado ac. El IMMC se conforma de dos grupos de módulos de potencia conectados en serie denominadas ramas, las cuales se interconectan en paralelo. Los módulos de potencia se conforman de convertidores fuente de tensi ón trifásicos conectados a grupos individuales de paneles fotovoltaicos, mientras que el lado ac se conecta a transformadores trif ásicos de baja frecuencia. Por lo tanto, varios módulos aislados pueden ser conectados en serie. Debido a que la potencia generada por los paneles fotovoltaicos depende de las condiciones ambientales, los m ódulos son propensos a generar diferentes niveles de potencia. Este escenario debe ser soportado por el IMMC, proporcionando alta flexibilidad en la regulación de potencia. Por lo tanto, esta tesis propone dos estrategias de control cuyo rol es regular el flujo de potencia de cada módulo mediante la tensión en la etapa continua y la corriente de rama. La compensaci ón por amplitud de tensión (AVC) regula la amplitud del índice de modulación, mientras que la compensación de la tensión en cuadratura (QVC) regula el ángulo de fase. Adicionalmente, se demuestra que, al combinar ambas estrategias de control, la capacidad para tolerar desbalances de potencia aumenta, proporcionando una mayor flexibilidad. El convertidor IMMC fue modelado y validado mediante resultados de simulaci ón. Además, una estrategia de control fue propuesta para regular la potencia total generada. Un prototipo de 10kW fue construido para respaldar los resultados presentados en simulación. Este estudio considera un convertidor IMMC conectado a la red el éctrica que opera en diferentes condiciones de potencia, demostrando una alta flexibilidad
Sistemes d'energia elèctrica
Branco, Miguel. "Distributed data management for large scale applications." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/72283/.
Повний текст джерелаVan, Mai Vien. "Large-Scale Optimization With Machine Learning Applications." Licentiate thesis, KTH, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263147.
Повний текст джерелаQC 20191105
McKenzie, Donald. "Modeling large-scale fire effects : concepts and applications /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/5602.
Повний текст джерелаLu, Haihao Ph D. Massachusetts Institute of Technology. "Large-scale optimization Methods for data-science applications." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122272.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 203-211).
In this thesis, we present several contributions of large scale optimization methods with the applications in data science and machine learning. In the first part, we present new computational methods and associated computational guarantees for solving convex optimization problems using first-order methods. We consider general convex optimization problem, where we presume knowledge of a strict lower bound (like what happened in empirical risk minimization in machine learning). We introduce a new functional measure called the growth constant for the convex objective function, that measures how quickly the level sets grow relative to the function value, and that plays a fundamental role in the complexity analysis. Based on such measure, we present new computational guarantees for both smooth and non-smooth convex optimization, that can improve existing computational guarantees in several ways, most notably when the initial iterate is far from the optimal solution set.
The usual approach to developing and analyzing first-order methods for convex optimization always assumes that either the gradient of the objective function is uniformly continuous (in the smooth setting) or the objective function itself is uniformly continuous. However, in many settings, especially in machine learning applications, the convex function is neither of them. For example, the Poisson Linear Inverse Model, the D-optimal design problem, the Support Vector Machine problem, etc. In the second part, we develop a notion of relative smoothness, relative continuity and relative strong convexity that is determined relative to a user-specified "reference function" (that should be computationally tractable for algorithms), and we show that many differentiable convex functions are relatively smooth or relatively continuous with respect to a correspondingly fairly-simple reference function.
We extend the mirror descent algorithm to our new setting, with associated computational guarantees. Gradient Boosting Machine (GBM) introduced by Friedman is an extremely powerful supervised learning algorithm that is widely used in practice -- it routinely features as a leading algorithm in machine learning competitions such as Kaggle and the KDDCup. In the third part, we propose the Randomized Gradient Boosting Machine (RGBM) and the Accelerated Gradient Boosting Machine (AGBM). RGBM leads to significant computational gains compared to GBM, by using a randomization scheme to reduce the search in the space of weak-learners. AGBM incorporate Nesterov's acceleration techniques into the design of GBM, and this is the first GBM type of algorithm with theoretically-justified accelerated convergence rate. We demonstrate the effectiveness of RGBM and AGBM over GBM in obtaining a model with good training and/or testing data fidelity.
by Haihao Lu.
Ph. D. in Mathematics and Operations Research
Ph.D.inMathematicsandOperationsResearch Massachusetts Institute of Technology, Department of Mathematics
Книги з теми "Large Scale Applications Implementing"
Biegler, Lorenz T., Andrew R. Conn, Thomas F. Coleman, and Fadil N. Santosa, eds. Large-Scale Optimization with Applications. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0693-4.
Повний текст джерелаBiegler, Lorenz T., Thomas F. Coleman, Andrew R. Conn, and Fadil N. Santosa, eds. Large-Scale Optimization with Applications. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1960-6.
Повний текст джерелаBiegler, Lorenz T., Thomas F. Coleman, Andrew R. Conn, and Fadil N. Santosa, eds. Large-Scale Optimization with Applications. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1962-0.
Повний текст джерелаT, Biegler Lorenz, ed. Large-scale optimization with applications. New York: Springer, 1997.
Знайти повний текст джерелаCrull, Anna W., and Dick Hooker. Fuel cells for large scale applications. Norwalk, CT: Business Communications Co., 2002.
Знайти повний текст джерела1974-, Wang Lizhe, and Chen Jingying 1973 -, eds. Large-scale simulation: Models, algorithms, and applications. Boca Raton, FL: Taylor & Francis, 2012.
Знайти повний текст джерелаHazra, Subhendu Bikash. Large-Scale PDE-Constrained Optimization in Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-01502-1.
Повний текст джерелаMartin, Grötschel, Krumke Sven O, and Rambau Jörg, eds. Online optimization of large scale systems. Berlin: Springer, 2001.
Знайти повний текст джерелаSupercomputers and Large-Scale Optimization (Workshop) ( 1988 Minneapolis, MN). Supercomputers and large-scale optimization: Algorithms, software, applications. Edited by Rosen J. B and University of Minnesota. Supercomputer Institute. Computer Science Department. Basel, Switzerland: J.C, Baltzer Scientific Publishing Co, 1990.
Знайти повний текст джерелаCooper, Robert. Supporting large scale applications on networks of workstations. [Washington, DC: National Aeronautics and Space Administration, 1989.
Знайти повний текст джерелаЧастини книг з теми "Large Scale Applications Implementing"
Stewart, D. E. "Aspects of Implementing a ‘C’ Matrix Library." In Linear Algebra for Large Scale and Real-Time Applications, 423–24. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-015-8196-7_55.
Повний текст джерелаEdwards, Sherrill, and Hongming Zhang. "Implementing a Advanced DTS Tool for Large-Scale Operation Training." In Advanced Power Applications for System Reliability Monitoring, 293–342. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44544-7_5.
Повний текст джерелаOberai, Assad A., Manish Malhotra, and Peter M. Pinsky. "Implementing highly accurate non-reflecting boundary conditions for large scale problems in structural acoustics." In Fluid Mechanics and Its Applications, 255–64. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9095-2_28.
Повний текст джерелаSerrano, Maria A., Erez Hadad, Roberto Cavicchioli, Rut Palmero, Luca Chiantore, Danilo Amendola, and Eduardo Quiñones. "Distributed Big Data Analytics in a Smart City." In Technologies and Applications for Big Data Value, 475–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78307-5_21.
Повний текст джерелаBolle, Ruud M., Jonathan H. Connell, Sharath Pankanti, Nalini K. Ratha, and Andrew W. Senior. "Large-Scale Applications." In Guide to Biometrics, 177–92. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4036-3_10.
Повний текст джерелаZuehlsdorff, Tim Joachim. "Large-Scale Applications." In Computing the Optical Properties of Large Systems, 167–85. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19770-8_8.
Повний текст джерелаLyons-Thomas, Juliette, Kadriye Ercikan, Eugene Gonzalez, and Irwin Kirsch. "Implementing ILSAs." In International Handbook of Comparative Large-Scale Studies in Education, 701–19. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88178-8_28.
Повний текст джерелаLyons-Thomas, Juliette, Kadriye Ercikan, Eugene Gonzalez, and Irwin Kirsch. "Implementing ILSAs." In International Handbook of Comparative Large-Scale Studies in Education, 1–19. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-38298-8_28-1.
Повний текст джерелаKonovalova, Natalia. "Possibilities of Social Bonds Using to Finance Higher Education Institutions." In Innovation, Technology, and Knowledge Management, 295–313. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84044-0_14.
Повний текст джерелаTrinder, Philip W., Hans-Wolfgang Loidl, and Kevin Hammond. "Large Scale Functional Applications." In Research Directions in Parallel Functional Programming, 399–426. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0841-2_19.
Повний текст джерелаТези доповідей конференцій з теми "Large Scale Applications Implementing"
Zompakis, N., L. Papadopoulos, G. Sirakoulis, and D. Soudris. "Implementing cellular automata modeled applications on network-on-chip platforms." In 2007 IFIP International Conference on Very Large Scale Integration. IEEE, 2007. http://dx.doi.org/10.1109/vlsisoc.2007.4402514.
Повний текст джерелаFaghraoui, Ahmed, Mohamed-Ghassane Kabadi, Naim Kosayyer, David Morel, Dominique Sauter, and Christophe Aubrun. "SOA-based platform implementing a structural modelling for large-scale system fault detection: Application to a board machine." In 2012 IEEE International Conference on Control Applications (CCA). IEEE, 2012. http://dx.doi.org/10.1109/cca.2012.6402705.
Повний текст джерелаZhou, Joe, David Taylor, and David Hodgkinson. "Further Large-Scale Implementation of Advanced Pipeline Technologies." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64472.
Повний текст джерелаYoshimura, K., I. Gaus, K. Kaku, T. Sakaki, A. Deguchi, and S. Vomvoris. "The Role of Large Scale Demonstration Experiments in Supporting the Implementation of a High Level Waste Programme." In ASME 2013 15th International Conference on Environmental Remediation and Radioactive Waste Management. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icem2013-96048.
Повний текст джерелаHyman, Daniel J., and Roger Kuroda. "Flip-Chip Assembly of RF MEMS for Microwave Hybrid Circuitry." In ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems collocated with the ASME 2005 Heat Transfer Summer Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/ipack2005-73419.
Повний текст джерелаCarlson, J. David, and B. F. Spencer. "Magnetorheological Fluid Dampers for Seismic Control." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4124.
Повний текст джерелаColbertaldo, Paolo, Giulio Guandalini, Elena Crespi, and Stefano Campanari. "Balancing a High-Renewables Electric Grid With Hydrogen-Fuelled Combined Cycles: A Country Scale Analysis." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-15570.
Повний текст джерелаOhnemus, Kenneth R. "Implementing a large scale windows help system." In the 13th annual international conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/223984.224006.
Повний текст джерелаHu, Yi, and Damir Novosel. "Challenges in Implementing a Large-Scale PMU System." In 2006 International Conference on Power System Technology. IEEE, 2006. http://dx.doi.org/10.1109/icpst.2006.321829.
Повний текст джерелаLee, Collin, Seo Jin Park, Ankita Kejriwal, Satoshi Matsushita, and John Ousterhout. "Implementing linearizability at large scale and low latency." In SOSP '15: ACM SIGOPS 25th Symposium on Operating Systems Principles. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2815400.2815416.
Повний текст джерелаЗвіти організацій з теми "Large Scale Applications Implementing"
Anderson, R. E., E. M. Leonard, R. F. Shea, and R. R. Berggren. Nuclear-pumped lasers for large-scale applications. Office of Scientific and Technical Information (OSTI), May 1989. http://dx.doi.org/10.2172/6179433.
Повний текст джерелаKlasky, Scott, Karsten Schwan, Ron A. Oldfield, and Gerald F. ,. II Lofstead. Advanced I/O for large-scale scientific applications. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/1004371.
Повний текст джерелаGelernter, David. Applications and Systems for Large-Scale Adaptive Parallelism. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada326097.
Повний текст джерелаJawerth, Bjorn. A Fast PDE Solver Environment for Large-Scale Applications. Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada394522.
Повний текст джерелаBhatele, A., T. Gamblin, B. Gunney, M. Schulz, and P. Bremer. Simplifying Performance Analysis of Large-scale Adaptive Scientific Applications. Office of Scientific and Technical Information (OSTI), January 2012. http://dx.doi.org/10.2172/1104994.
Повний текст джерелаBagnall, P., R. Briscoe, and A. Poppitt. Taxonomy of Communication Requirements for Large-scale Multicast Applications. RFC Editor, December 1999. http://dx.doi.org/10.17487/rfc2729.
Повний текст джерелаJason Nieh. Final Report: Migration Mechanisms for Large-scale Parallel Applications. Office of Scientific and Technical Information (OSTI), October 2009. http://dx.doi.org/10.2172/966698.
Повний текст джерелаKnight, John, Dennis Heimbigner, Alexander L. Wolf, Antonio Carzaniga, Jonathan Hill, Premkumar Devanbu, and Michael Gertz. The Willow Architecture: Comprehensive Survivability for Large-Scale Distributed Applications. Fort Belvoir, VA: Defense Technical Information Center, December 2001. http://dx.doi.org/10.21236/ada436790.
Повний текст джерелаKaravanic, K. Final report for''automated diagnosis of large scale parallel applications''. Office of Scientific and Technical Information (OSTI), November 2000. http://dx.doi.org/10.2172/15005433.
Повний текст джерелаCarr, Robert D., Todd Morrison, William Eugene Hart, Nicolas L. Benavides, Harvey J. Greenberg, Jean-Paul Watson, and Cynthia Ann Phillips. LDRD final report : robust analysis of large-scale combinatorial applications. Office of Scientific and Technical Information (OSTI), September 2007. http://dx.doi.org/10.2172/921748.
Повний текст джерела