Searching for fault tolerance : 13 results found | RSS Feed for this search

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16.358J System Safety (MIT) 16.358J System Safety (MIT)

Description

This course covers important concepts and techniques in designing and operating safety-critical systems. Topics covered include: the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. It also includes a class project involving the high-level system design and analysis of a safety-critical system. This course covers important concepts and techniques in designing and operating safety-critical systems. Topics covered include: the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. It also includes a class project involving the high-level system design and analysis of a safety-critical system.

Subjects

system safety | system safety | software safety | software safety | system reliability | system reliability | safety-critical systems | safety-critical systems | accident models | accident models | human error models | human error models | system safety engineering | system safety engineering | software hazard analysis | software hazard analysis | fault tolerance | fault tolerance | safety culture | safety culture

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.852J Distributed Algorithms (MIT) 6.852J Distributed Algorithms (MIT)

Description

This course intends to provide a rigorous introduction to the most important research results in the area of distributed algorithms, and prepare interested students to carry out independent research in distributed algorithms. Topics covered include: design and analysis of concurrent algorithms, emphasizing those suitable for use in distributed networks, process synchronization, allocation of computational resources, distributed consensus, distributed graph algorithms, election of a leader in a network, distributed termination, deadlock detection, concurrency control, communication, and clock synchronization. Special consideration is given to issues of efficiency and fault tolerance. Formal models and proof methods for distributed computation are also discussed. Detailed information on the This course intends to provide a rigorous introduction to the most important research results in the area of distributed algorithms, and prepare interested students to carry out independent research in distributed algorithms. Topics covered include: design and analysis of concurrent algorithms, emphasizing those suitable for use in distributed networks, process synchronization, allocation of computational resources, distributed consensus, distributed graph algorithms, election of a leader in a network, distributed termination, deadlock detection, concurrency control, communication, and clock synchronization. Special consideration is given to issues of efficiency and fault tolerance. Formal models and proof methods for distributed computation are also discussed. Detailed information on the

Subjects

distributed algorithms | distributed algorithms | algorithm | algorithm | concurrent algorithms | concurrent algorithms | distributed networks | distributed networks | process synchronization | process synchronization | computational resources | computational resources | distributed consensus | distributed consensus | distributed graph algorithms | distributed graph algorithms | distributed termination | distributed termination | deadlock detection | deadlock detection | concurrency control | concurrency control | communication | communication | clock synchronization | clock synchronization | fault tolerance | fault tolerance | distributed computation | distributed computation | 6.852 | 6.852 | 18.437 | 18.437

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.824 Distributed Computer Systems (MIT) 6.824 Distributed Computer Systems (MIT)

Description

This course covers abstractions and implementation techniques for the design of distributed systems. Topics include: server design, network programming, naming, storage systems, security, and fault tolerance. The assigned readings for the course are from current literature. This course is worth 6 Engineering Design Points. This course covers abstractions and implementation techniques for the design of distributed systems. Topics include: server design, network programming, naming, storage systems, security, and fault tolerance. The assigned readings for the course are from current literature. This course is worth 6 Engineering Design Points.

Subjects

distributed computer systems | distributed computer systems | abstractions | abstractions | server design | server design | network programming | network programming | naming | naming | storage systems | storage systems | security | security | fault tolerance | fault tolerance | C++ | C++

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.852J Distributed Algorithms (MIT) 6.852J Distributed Algorithms (MIT)

Description

6.852J / 18.437J intends to: (1) provide a rigorous introduction to the most important research results in the area of distributed algorithms, and (2) prepare interested students to carry out independent research in distributed algorithms. Topics covered include: design and analysis of concurrent algorithms, emphasizing those suitable for use in distributed networks, process synchronization, allocation of computational resources, distributed consensus, distributed graph algorithms, election of a leader in a network, distributed termination, deadlock detection, concurrency control, communication, and clock synchronization. Special consideration is given to issues of efficiency and fault tolerance. Formal models and proof methods for distributed computation are also discussed. 6.852J / 18.437J intends to: (1) provide a rigorous introduction to the most important research results in the area of distributed algorithms, and (2) prepare interested students to carry out independent research in distributed algorithms. Topics covered include: design and analysis of concurrent algorithms, emphasizing those suitable for use in distributed networks, process synchronization, allocation of computational resources, distributed consensus, distributed graph algorithms, election of a leader in a network, distributed termination, deadlock detection, concurrency control, communication, and clock synchronization. Special consideration is given to issues of efficiency and fault tolerance. Formal models and proof methods for distributed computation are also discussed.

Subjects

distributed algorithms | distributed algorithms | algorithm | algorithm | concurrent algorithms | concurrent algorithms | distributed networks | distributed networks | process synchronization | process synchronization | computational resources | computational resources | distributed consensus | distributed consensus | distributed graph algorithms | distributed graph algorithms | distributed termination | distributed termination | deadlock detection | deadlock detection | concurrency control | concurrency control | communication | communication | clock synchronization | clock synchronization | fault tolerance | fault tolerance | distributed computation | distributed computation | 6.852 | 6.852 | 18.437 | 18.437

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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16.358J System Safety (MIT) 16.358J System Safety (MIT)

Description

Covers important concepts and techniques in designing and operating safety-critical systems. Topics include: the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. Includes a class project involving the high-level system design and analysis of a safety-critical system. Covers important concepts and techniques in designing and operating safety-critical systems. Topics include: the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. Includes a class project involving the high-level system design and analysis of a safety-critical system.

Subjects

system safety | system safety | software safety | software safety | system reliability | system reliability | safety-critical systems | safety-critical systems | accident models | accident models | human error models | human error models | system safety engineering | system safety engineering | software hazard analysis | software hazard analysis | fault tolerance | fault tolerance | safety culture | safety culture | 16.358 | 16.358 | ESD.358 | ESD.358

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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MAS.865J Quantum Information Science (MIT) MAS.865J Quantum Information Science (MIT)

Description

This is an advanced graduate course on quantum computation and quantum information, for which prior knowledge of quantum mechanics is required. Topics include quantum computation, advanced quantum error correction codes, fault tolerance, quantum algorithms beyond factoring, properties of quantum entanglement, and quantum protocols and communication complexity. This is an advanced graduate course on quantum computation and quantum information, for which prior knowledge of quantum mechanics is required. Topics include quantum computation, advanced quantum error correction codes, fault tolerance, quantum algorithms beyond factoring, properties of quantum entanglement, and quantum protocols and communication complexity.

Subjects

quantum computation | quantum computation | quantum error correction codes | quantum error correction codes | fault tolerance | fault tolerance | quantum algorithms | quantum algorithms | quantum entanglement | quantum entanglement | quantum protocols | quantum protocols | communication complexity | communication complexity | quantum cryptography | quantum cryptography | adiabatic quantum computation | adiabatic quantum computation | MAS.865 | MAS.865 | 6.443 | 6.443 | 8.371 | 8.371

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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16.358J System Safety (MIT)

Description

This course covers important concepts and techniques in designing and operating safety-critical systems. Topics covered include: the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. It also includes a class project involving the high-level system design and analysis of a safety-critical system.

Subjects

system safety | software safety | system reliability | safety-critical systems | accident models | human error models | system safety engineering | software hazard analysis | fault tolerance | safety culture

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.852J Distributed Algorithms (MIT)

Description

This course intends to provide a rigorous introduction to the most important research results in the area of distributed algorithms, and prepare interested students to carry out independent research in distributed algorithms. Topics covered include: design and analysis of concurrent algorithms, emphasizing those suitable for use in distributed networks, process synchronization, allocation of computational resources, distributed consensus, distributed graph algorithms, election of a leader in a network, distributed termination, deadlock detection, concurrency control, communication, and clock synchronization. Special consideration is given to issues of efficiency and fault tolerance. Formal models and proof methods for distributed computation are also discussed. Detailed information on the

Subjects

distributed algorithms | algorithm | concurrent algorithms | distributed networks | process synchronization | computational resources | distributed consensus | distributed graph algorithms | distributed termination | deadlock detection | concurrency control | communication | clock synchronization | fault tolerance | distributed computation | 6.852 | 18.437

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.824 Distributed Computer Systems (MIT)

Description

This course covers abstractions and implementation techniques for the design of distributed systems. Topics include: server design, network programming, naming, storage systems, security, and fault tolerance. The assigned readings for the course are from current literature. This course is worth 6 Engineering Design Points.

Subjects

distributed computer systems | abstractions | server design | network programming | naming | storage systems | security | fault tolerance | C++

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.852J Distributed Algorithms (MIT)

Description

6.852J / 18.437J intends to: (1) provide a rigorous introduction to the most important research results in the area of distributed algorithms, and (2) prepare interested students to carry out independent research in distributed algorithms. Topics covered include: design and analysis of concurrent algorithms, emphasizing those suitable for use in distributed networks, process synchronization, allocation of computational resources, distributed consensus, distributed graph algorithms, election of a leader in a network, distributed termination, deadlock detection, concurrency control, communication, and clock synchronization. Special consideration is given to issues of efficiency and fault tolerance. Formal models and proof methods for distributed computation are also discussed.

Subjects

distributed algorithms | algorithm | concurrent algorithms | distributed networks | process synchronization | computational resources | distributed consensus | distributed graph algorithms | distributed termination | deadlock detection | concurrency control | communication | clock synchronization | fault tolerance | distributed computation | 6.852 | 18.437

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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16.358J System Safety (MIT)

Description

Covers important concepts and techniques in designing and operating safety-critical systems. Topics include: the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. Includes a class project involving the high-level system design and analysis of a safety-critical system.

Subjects

system safety | software safety | system reliability | safety-critical systems | accident models | human error models | system safety engineering | software hazard analysis | fault tolerance | safety culture | 16.358 | ESD.358

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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MAS.865J Quantum Information Science (MIT)

Description

This is an advanced graduate course on quantum computation and quantum information, for which prior knowledge of quantum mechanics is required. Topics include quantum computation, advanced quantum error correction codes, fault tolerance, quantum algorithms beyond factoring, properties of quantum entanglement, and quantum protocols and communication complexity.

Subjects

quantum computation | quantum error correction codes | fault tolerance | quantum algorithms | quantum entanglement | quantum protocols | communication complexity | quantum cryptography | adiabatic quantum computation | MAS.865 | 6.443 | 8.371

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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16.863J System Safety (MIT)

Description

This course covers important concepts and techniques in designing and operating safety-critical systems. Topics include the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. Includes a class project involving the high-level system design and analysis of a safety-critical system.

Subjects

ESD.863 | 16.863 | risk management | human error models | system safety engineering | hazard analysis | safety design | fault tolerance | safety-critical system | human factors. cyber security | Systems Theoretic Process Analysis (STPA)

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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