Letteratura scientifica selezionata sul tema "Fault-tolerance computing"

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Articoli di riviste sul tema "Fault-tolerance computing"

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Bhavsar, Sejal Atit, and Kirit J. Modi. "Design and Development of Framework for Platform Level Issues in Fog Computing." International Journal of Electronics, Communications, and Measurement Engineering 8, no. 1 (January 2019): 1–20. http://dx.doi.org/10.4018/ijecme.2019010101.

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Fog computing is a paradigm that extends cloud computing services to the edge of the network. Fog computing provides data, storage, compute and application services to end users. The distinguishing characteristics of fog computing are its proximity to the end users. The application services are hosted on network edges like on routers, switches, etc. The goal of fog computing is to improve the efficiency and reduce the amount of data that needs to be transported to cloud for analysis, processing and storage. Due to heterogeneous characteristics of fog computing, there are some issues, i.e. secu
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Rajagopal, Aghila. "FAULT TOLERANCE IN MOBILE GRID COMPUTING." International Journal of Electronic Commerce Studies 5, no. 1 (June 2014): 115–22. http://dx.doi.org/10.7903/ijecs.1107.

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Zhang, Junna, Ao Zhou, Qibo Sun, Shangguang Wang, and Fangchun Yang. "Overview on Fault Tolerance Strategies of Composite Service in Service Computing." Wireless Communications and Mobile Computing 2018 (June 19, 2018): 1–8. http://dx.doi.org/10.1155/2018/9787503.

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In order to build highly reliable composite service via Service Oriented Architecture (SOA) in the Mobile Fog Computing environment, various fault tolerance strategies have been widely studied and got notable achievements. In this paper, we provide a comprehensive overview of key fault tolerance strategies. Firstly, fault tolerance strategies are categorized into static and dynamic fault tolerance according to the phase of their adoption. Secondly, we review various static fault tolerance strategies. Then, dynamic fault tolerance implementation mechanisms are analyzed. Finally, main challenges
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VARGHESE, BLESSON, GERARD MCKEE, and VASSIL ALEXANDROV. "CAN AGENT INTELLIGENCE BE USED TO ACHIEVE FAULT TOLERANT PARALLEL COMPUTING SYSTEMS?" Parallel Processing Letters 21, no. 04 (December 2011): 379–96. http://dx.doi.org/10.1142/s012962641100028x.

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The work reported in this paper is motivated towards validating an alternative approach for fault tolerance over traditional methods like checkpointing that constrain efficacious fault tolerance. Can agent intelligence be used to achieve fault tolerant parallel computing systems? If so, "What agent capabilities are required for fault tolerance?", "What parallel computational tasks can benefit from such agent capabilities?" and "How can agent capabilities be implemented for fault tolerance?" need to be addressed. Cognitive capabilities essential for achieving fault tolerance through agents are
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Latchoumy, p., and Sheik Abdul Khader. "Survey On Fault Tolerance In Grid Computing." International Journal of Computer Science & Engineering Survey 2, no. 4 (November 30, 2011): 97–110. http://dx.doi.org/10.5121/ijcses.2011.2407.

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Saha, Goutam Kumar. "Software-based computing security and fault tolerance." Ubiquity 2004, June (June 2004): 2. http://dx.doi.org/10.1145/1022348.1008538.

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Hamidi, Hodjat, Abbas Vafaei, and Seyed Amir Hassan Monadjemi. "Analysis and Evaluation of a New Algorithm Based Fault Tolerance for Computing Systems." International Journal of Grid and High Performance Computing 4, no. 1 (January 2012): 37–51. http://dx.doi.org/10.4018/jghpc.2012010103.

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In this paper, the authors present a new approach to algorithm based fault tolerance (ABFT) for High Performance computing system. The Algorithm Based Fault Tolerance approach transforms a system that does not tolerate a specific type of fault, called the fault-intolerant system, to a system that provides a specific level of fault tolerance, namely recovery. The ABFT techniques that detect errors rely on the comparison of parity values computed in two ways, the parallel processing of input parity values produce output parity values comparable with parity values regenerated from the original pr
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Wong, Ming Ming, Dennis M. L. D. Wong, Cishen Zhang, and Ismat Hijazin. "A New Lightweight and High Fault Tolerance Sobel Edge Detection Using Stochastic Computing." International Journal of Computer and Electrical Engineering 9, no. 2 (2017): 403–20. http://dx.doi.org/10.17706/ijcee.2017.9.2.403-420.

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Mohammadian, Vahid, Nima Jafari Navimipour, Mehdi Hosseinzadeh, and Aso Darwesh. "Comprehensive and Systematic Study on the Fault Tolerance Architectures in Cloud Computing." Journal of Circuits, Systems and Computers 29, no. 15 (June 22, 2020): 2050240. http://dx.doi.org/10.1142/s0218126620502400.

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Abstract (sommario):
Providing dynamic resources is based on the virtualization features of the cloud environment. Cloud computing as an emerging technology uses a high availability of services at any time, in any place and independent of the hardware. However, fault tolerance is one of the main problems and challenges in cloud computing. This subject has an important effect on cloud computing, but, as far as we know, there is not a comprehensive and systematic study in this field. Accordingly, in this paper, the existing methods and mechanisms are discussed in different groups, such as proactive and reactive, typ
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Patra, Prasenjit Kumar, Harshpreet Singh, Rajwinder Singh, Saptarshi Das, Nilanjan Dey, and Anghel Drugarin Cornelia Victoria. "Replication and Resubmission Based Adaptive Decision for Fault Tolerance in Real Time Cloud Computing." International Journal of Service Science, Management, Engineering, and Technology 7, no. 2 (April 2016): 46–60. http://dx.doi.org/10.4018/ijssmet.2016040104.

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Cloud computing an adoptable technology is the upshot evolution of on demand service in the computing epitome of immense scale distributed computing. With the raising asks and welfares of cloud computing infrastructure, society can take leverage of intensive computing capability services and scalable, virtualized vicinity of cloud computing to carry out real time tasks executed on a remote cloud computing node. Due to the indeterminate latency and minimal control over computing node, sway the reliability factor. Therefore, there is a raise of requisite for fault tolerance to achieve reliabilit
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Tesi sul tema "Fault-tolerance computing"

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Mugwar, Bader. "Fault tolerance : a new method to detect fault in computing systems." Virtual Press, 1986. http://liblink.bsu.edu/uhtbin/catkey/450654.

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This paper discusses the detection of Fault Tolerance in computers. It outlines the present techniques available, namely, Anderson's and Avizienis: The writer introduces a new method based on Anderson's detection technique; this modified version turns out to be a more foolproof system. Since the shortcomings of both the 'old' techniques are discussed in detail the writer also suggests how to overcome them using the technique that he had proposed. To prove the excellence of his method, the writer applies his technique to the SIFT system to show that it is workable and superior to previous ones.
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Sullivan, John F. "Network fault tolerance system." Link to electronic thesis, 2000. http://www.wpi.edu/Pubs/ETD/Available/etd-0501100-125656.

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Wagealla, Waleed. "Reliable mobile agents for distributed computing." Thesis, Nottingham Trent University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272441.

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The emergence of platform-independent, mobile code technologies has created big opportunities for Internet-based applications. Mobile agents are being utilized to perform a variety of tasks from personalized computing to business-critical transactions. Unfortunately, these advances were not matched by correspondent research into the reliability of these new technologies. This work has been undertaken to investigate the faulttolerance of this new paradigm. Agent programs' mobility and autonomy of execution has introduced a new class of failures different to that of traditional distributed syste
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Pierce, Evelyn Tumlin. "Self-adjusting quorum systems for Byzantine fault tolerance /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p3004357.

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Hall, Stephen. "An integrated fault tolerance framework for service oriented computing." Thesis, Lancaster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.547982.

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Clements, N. Scott. "Fault tolerance control of complex dynamical systems." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/15515.

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Damani, Om Prakash. "Optimistic protocols for fault-tolerance in distributed systems /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Snodgrass, Joshua D. "Low-power fault tolerance for spacecraft FPGA-based numerical computing." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FSnodgrass%5FPhD.pdf.

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Dissertation (Ph.D. in Electrical Engineering)--Naval Postgraduate School, September 2006.<br>Dissertation Advisor(s): Herschel H. Loomis. "September 2006." Includes bibliographical references (p. 217-224). Also available in print.
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Hunt, Robert D. "New software-based fault tolerance methods for high performance computing." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.683389.

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As computer systems become ever more powerful and parallel, processing larger and larger sets of data, there is increased need for ensuring that scientific software applications are tolerant to faults in both hardware and software. New algorithms which take advantage of knowledge about the structure and calculation of important mathematical problems would enable increasingly more efficient and fault tolerant computation to be performed with minimal overhead. This thesis demonstrates how improvements to two important application areas in High Performance Computing (HP C) - that of Monte Carlo m
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Rao, Sriram S. "Egida : a toolkit for low-overhead fault-tolerance /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Libri sul tema "Fault-tolerance computing"

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Florio, Vincenzo De. Application-layer fault-tolerance protocols. Hershey PA: Information Science Reference, 2009.

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Herault, Thomas, and Yves Robert, eds. Fault-Tolerance Techniques for High-Performance Computing. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20943-2.

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Jalote, P. Fault tolerance in distributed systems. Englewood Cliffs, N.J: PTR Prentice Hall, 1994.

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Fault diagnosis and fault tolerance: A systematic approach to special topics. Berlin: Springer-Verlag, 1992.

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Fault tolerance for multicomputers: The application-oriented paradigm. Norwood, N.J: Ablex Pub., 1997.

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Coding approaches to fault tolerance in combinational and dynamic systems. Boston: Kluwer Academic Publishers, 2002.

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An introduction to program fault tolerance: A structured programming approach. New York: Prentice Hall, 1990.

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Miner, Paul S. Verification of fault-tolerant clock synchronization systems. Hampton, Va: Langley Research Center, 1993.

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Birman, Kenneth P. The ISIS project: Fault-tolerance in large distributed systems. [Washington, D.C: National Aeronautics and Space Administration, 1990.

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Fischbach, Kai, and Udo R. Krieger, eds. Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05359-2.

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Capitoli di libri sul tema "Fault-tolerance computing"

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Zima, Hans P., and Allen Nikora. "Fault Tolerance." In Encyclopedia of Parallel Computing, 645–58. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_63.

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Denning, Peter J. "Virtual Fault Tolerance." In Dependable and Historic Computing, 251–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24541-1_18.

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Schepers, Henk. "Tracing Fault Tolerance." In Dependable Computing for Critical Applications 3, 91–110. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-4009-3_4.

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Randell, Brian. "Design Fault Tolerance." In The Evolution of Fault-Tolerant Computing, 251–70. Vienna: Springer Vienna, 1987. http://dx.doi.org/10.1007/978-3-7091-8871-2_10.

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Cunha, João Carlos, Antńio Correia, Jorge Henriques, Mário Zenha Rela, and João Gabriel Silva. "Reset-Driven Fault Tolerance." In Dependable Computing EDCC-4, 102–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36080-8_13.

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Powell, David. "Software-Fault Tolerance." In Delta-4: A Generic Architecture for Dependable Distributed Computing, 351–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84696-0_14.

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Powell, David. "Distributed Fault-Tolerance." In Delta-4: A Generic Architecture for Dependable Distributed Computing, 89–124. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84696-0_6.

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Storm, Christian. "Fault Tolerance in Distributed Computing." In Specification and Analytical Evaluation of Heterogeneous Dynamic Quorum-Based Data Replication Schemes, 13–79. Wiesbaden: Vieweg+Teubner Verlag, 2012. http://dx.doi.org/10.1007/978-3-8348-2381-6_2.

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Randell, Brian. "Fault Tolerance and Security." In Dependable Computing and Fault-Tolerant Systems, 389–91. Vienna: Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-9396-9_32.

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Balakrishnan, Shobana, Füsun Özgüner, and Baback Izadi. "Fault Tolerance in Hypercubes." In Parallel Computing on Distributed Memory Multiprocessors, 233–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-58066-6_14.

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Atti di convegni sul tema "Fault-tolerance computing"

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Chen, Jianping, Yao Lu, Ioan Comsa, and Pierre Kuonen. "A scalability hierarchical fault tolerance strategy: Community Fault Tolerance." In 2014 20th International Conference on Automation and Computing (ICAC). IEEE, 2014. http://dx.doi.org/10.1109/iconac.2014.6935488.

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Krishna, C. M., and I. Koren. "Adaptive fault-tolerance fault-tolerance for cyber-physical systems." In 2013 International Conference on Computing, Networking and Communications (ICNC 2013). IEEE, 2013. http://dx.doi.org/10.1109/iccnc.2013.6504101.

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Zhao, Wenbing, P. M. Melliar-Smith, and L. E. Moser. "Fault Tolerance Middleware for Cloud Computing." In 2010 IEEE International Conference on Cloud Computing (CLOUD). IEEE, 2010. http://dx.doi.org/10.1109/cloud.2010.26.

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Tchana, Alain, Laurent Broto, and Daniel Hagimont. "Approaches to cloud computing fault tolerance." In 2012 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, 2012. http://dx.doi.org/10.1109/cits.2012.6220386.

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Witterauf, Michael, Alexandru Tanase, Jurgen Teich, Vahid Lari, Andreas Zwinkau, and Gregor Snelting. "Adaptive fault tolerance through invasive computing." In 2015 NASA/ESA Conference on Adaptive Hardware and Systems (AHS). IEEE, 2015. http://dx.doi.org/10.1109/ahs.2015.7231155.

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Patil, Ashwini, Ankit Shah, Sheetal Gaikwad, Akassh A. Mishra, Simranjit Singh Kohli, and Sudhir Dhage. "Fault Tolerance in Cluster Computing System." In 2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing. IEEE, 2011. http://dx.doi.org/10.1109/3pgcic.2011.77.

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Ataallah, Salma M. A., Salwa M. Nassar, and Elsayed E. Hemayed. "Fault tolerance in cloud computing - survey." In 2015 11th International Computer Engineering Conference (ICENCO). IEEE, 2015. http://dx.doi.org/10.1109/icenco.2015.7416355.

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Liu, Mengyun, Lixue Xia, Yu Wang, and Krishnendu Chakrabarty. "Fault tolerance in neuromorphic computing systems." In ASPDAC '19: 24th Asia and South Pacific Design Automation Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3287624.3288743.

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Bakkes, P., and S. Mostert. "Fault tolerance in SUNSAT satellite." In 9th Computing in Aerospace Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-4496.

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"Fault Tolerance and Reliability." In 2006 15th IEEE International Conference on High Performance Distributed Computing. IEEE, 2006. http://dx.doi.org/10.1109/hpdc.2006.1652138.

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Rapporti di organizzazioni sul tema "Fault-tolerance computing"

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Lin, Ting-Ting Y. Fault Tolerance in Opto-Electronic Computing. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada246517.

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Lin, Ting-Ting Y. Fault Tolerance in Opto-electronic Computing. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada280219.

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Dongarra, Jack, George Bosilca, and et al. Coordinated Fault Tolerance for High-Performance Computing. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1072982.

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P. D. Hough, M. e. Goldsby, and E. J. Walsh. Algorithm-dependent fault tolerance for distributed computing. Office of Scientific and Technical Information (OSTI), February 2000. http://dx.doi.org/10.2172/754901.

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Dreicer, Jared Samuel. High-Performance Computing Spare Replacement Hardware Fault Tolerance. Office of Scientific and Technical Information (OSTI), May 2004. http://dx.doi.org/10.2172/833493.

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Panda, Dhabaleswar Kumar, and Pete Beckman. Coordinated Fault-Tolerance for High-Performance Computing Final Project Report. Office of Scientific and Technical Information (OSTI), July 2011. http://dx.doi.org/10.2172/1104503.

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Lin, Ting-Ting Y. Design and Evaluation of Fault Tolerance in Opto-electronic Computing. Fort Belvoir, VA: Defense Technical Information Center, December 1993. http://dx.doi.org/10.21236/ada274281.

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Esener, S. C., R. Paturi, and S. H. Lee. Random-Like Interconnects, Fault Tolerance and Grain-Size Studies for Optoelectronic Computing. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada262360.

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Nelson, V. P. Hardware Acquisition for the Enhancement of a Fault Tolerance/Distributed Computing Laboratory. Fort Belvoir, VA: Defense Technical Information Center, August 1985. http://dx.doi.org/10.21236/ada158439.

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Katz, D. S., J. Daly, N. DeBardeleben, M. Elnozahy, B. Kramer, S. Lathrop, N. Nystrom, et al. 2009 fault tolerance for extreme-scale computing workshop, Albuquerque, NM - March 19-20, 2009. Office of Scientific and Technical Information (OSTI), February 2009. http://dx.doi.org/10.2172/971988.

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