Relevant bibliographies by topics / Fault-tolerance computing

Contents

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

Academic literature on the topic 'Fault-tolerance computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "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. security, fault tolerance, resource scheduling and allocation. To better understand fault tolerance, we highlighted the basic concepts of fault tolerance by understanding different fault tolerance techniques i.e. Reactive, Proactive and the hybrid. In addition to the fault tolerance, how to balance resource utilization and security in fog computing are also discussed here. Furthermore, to overcome platform level issues of fog computing, Hybrid fault tolerance model using resource management and security is presented by us.
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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 confronted by fault tolerance for composite service are reviewed.
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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 considered. Parallel reduction algorithms are identified as a class of algorithms that can benefit from cognitive agent capabilities. The Message Passing Interface is utilized for implementing an intelligent agent based approach. Preliminary results obtained from the experiments validate the feasibility of an agent based approach for achieving fault tolerance in parallel computing systems.
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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 processed outputs, can apply convolution codes for the redundancy. This method is a new approach to concurrent error correction in fault-tolerant computing systems. This paper proposes a novel computing paradigm to provide fault tolerance for numerical algorithms. The authors also present, implement, and evaluate early detection in ABFT.
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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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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, types of fault detection, etc. Various fault tolerance techniques are provided and discussed. The advantages and disadvantages of these techniques are shown on the basis of the technology that they have used. Generally, the contributions of this research provide a summary of the available challenges associated with fault tolerance, a description of several important fault tolerance methods in the cloud computing and the key regions for the betterment of fault tolerance techniques in the future works. The advantages and disadvantages of the selected articles in each category are also highlighted and their significant challenges are discussed to provide the research lines for further studies.
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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 reliability in the real time cloud infrastructure. In this paper, a model which provides fault tolerance named “Replication and resubmission based adaptive decision for fault tolerance in real-time cloud computing (RRADFTRC)” for real time cloud computing is projected with result. In the projected model, the system endure the faults and makes the adaptive decision on the basis of proper resource allocation of tasks with a new style of approach in real time cloud vicinity.
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Dissertations / Theses on the topic "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. Diagrams are provided for clarification.Ball State UniversityMuncie, IN 47306
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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 systems. Therefore, fault tolerance is one of the main problems that must be resolved to improve the adoption of an agents' paradigm. The investigation of mobile agents reliability in this thesis resulted in the development of REMA (REliable Mobile Agents), which guarantees the reliable execution, migration, and communication of mobile agents in the presence of faults that might affect the agents hosts or their communication network. We introduced an algorithm for the transparent detection of faults that might affect agent execution, migration, and communication. A decentralized structure was used to divide the agent dynamic distributed system into network-partitioning proof spaces. Lightweight messaging was adopted as the basic error detection engine, which together with the loosely coupled detection managers provided an efficient, low overhead detection mechanism for agent-based distributed processing. The problem of taking checkpoint of agent execution is hampered by the lack of the accessibility of the underlying structure of the JVM. Thus, an alternative solution has been achieved through the REMA Checkpoint and Recovery (REMA-CR) package. REMA-CR provides the developer with powerful classes and methods that allow for capturing the critical data of agents' execution. The developed recovery protocol offers a communication-pairs, independent checkpointing strategy at a low-cost, that covers all possible faults that might invalidate reliable agent execution, migration and communication and maintains the exactly once execution property. The results and the performance of REMA confirmed our objectives of providing a fault tolerant wrapper for agents and their applications with acceptable overhead cost.
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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.
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 methods and Sparse Linear Algebra - can result in software with greater fault tolerance alongside low overheads. It proposes models that employ variations on existing techniques dealing with layout topologies in grids and a form of Error-Correcting Code (ECC) to provide an increased degree of fault tolerance in calculations. The models make efficient use of the variations to produce schemes that are both robust and based on straightforward approaches which can be implemented in a simple manner. The theory behind the models is developed and evaluated and basic implementations are created to gauge the performance and viability of the schemes. Both models perform well in the majority of cases with low overheads in the range of 0-10%, and both are eminently scalable. Furthermore, the methods with highest overhead in the Sparse Linear Algebra schemes are found to increase in performance for larger data sets that are more sparse - those that would require the extra protection afforded by software fault tolerance the most.
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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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Books on the topic "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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Book chapters on the topic "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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Conference papers on the topic "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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Reports on the topic "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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