Guiding Circuit Level Fault-Tolerance Design with Statistical Methods

2008 ◽  
Author(s):  
Drew C. Ness ◽  
David J. Lilja
Keyword(s):  
Fault Tolerance ◽  
Statistical Methods ◽  
Tolerance Design

A Method to Support Fault Tolerance Design in Service Oriented Computing Systems

2012 ◽  
pp. 362-376
Author(s):  
Domenico Cotroneo ◽  
Antonio Pecchia ◽  
Roberto Pietrantuono ◽  
Stefano Russo
Keyword(s):  
Fault Tolerance ◽  
Common Ground ◽  
Fault Injection ◽  
Failure Behavior ◽  
Tolerance Design ◽  
System Failure ◽  
Computing Systems ◽  
Service Oriented Computing ◽  
Service Oriented ◽  
Tailored Design

Service Oriented Computing relies on the integration of heterogeneous software technologies and infrastructures that provide developers with a common ground for composing services and producing applications flexibly. However, this approach eases software development but makes dependability a big challenge. Integrating such diverse software items raise issues that traditional testing is not able to exhaustively cope with. In this context, tolerating faults, rather than attempt to detect them solely by testing, is a more suitable solution. This paper proposes a method to support a tailored design of fault tolerance actions for the system being developed. This paper describes system failure behavior through an extensive fault injection campaign to figure out its criticalities and adopt the most appropriate countermeasures to tolerate operational faults. The proposed method is applied to two distinct SOC-enabling technologies. Results show how the achieved findings allow designers to understand the system failure behavior and plan fault tolerance.

A Method to Support Fault Tolerance Design in Service Oriented Computing Systems

2010 ◽  
Vol 1 (3) ◽  
pp. 75-89
Author(s):  
Domenico Cotroneo ◽  
Antonio Pecchia ◽  
Roberto Pietrantuono ◽  
Stefano Russo
Keyword(s):  
Fault Tolerance ◽  
Common Ground ◽  
Fault Injection ◽  
Failure Behavior ◽  
Tolerance Design ◽  
System Failure ◽  
Computing Systems ◽  
Service Oriented Computing ◽  
Service Oriented ◽  
Tailored Design

Service Oriented Computing relies on the integration of heterogeneous software technologies and infrastructures that provide developers with a common ground for composing services and producing applications flexibly. However, this approach eases software development but makes dependability a big challenge. Integrating such diverse software items raise issues that traditional testing is not able to exhaustively cope with. In this context, tolerating faults, rather than attempt to detect them solely by testing, is a more suitable solution. This paper proposes a method to support a tailored design of fault tolerance actions for the system being developed. This paper describes system failure behavior through an extensive fault injection campaign to figure out its criticalities and adopt the most appropriate countermeasures to tolerate operational faults. The proposed method is applied to two distinct SOC-enabling technologies. Results show how the achieved findings allow designers to understand the system failure behavior and plan fault tolerance.

An efficient algorithm-based fault tolerance design using the weighted data-check relationship

2001 ◽  
Vol 50 (4) ◽  
pp. 371-383 ◽  
Author(s):  
Hee Yong Youn ◽  
Choong Gun Oh ◽  
Hyunseung Choo ◽  
Jin-Wook Chung ◽  
Dongman Lee
Keyword(s):  
Fault Tolerance ◽  
Efficient Algorithm ◽  
Tolerance Design ◽  
Weighted Data

An Efficient Fault-Tolerance Design for Integer Parallel Matrix–Vector Multiplications

2018 ◽  
Vol 26 (1) ◽  
pp. 211-215 ◽  
Author(s):  
Zhen Gao ◽  
Qingqing Jing ◽  
Yumeng Li ◽  
Pedro Reviriego ◽  
Juan Antonio Maestro
Keyword(s):  
Fault Tolerance ◽  
Tolerance Design ◽  
Matrix Vector
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