Robustness

From HandWiki

Robustness is the property of being strong and healthy in constitution. When it is transposed into a system, it refers to the ability of tolerating perturbations that might affect the system's functional body. In the same line robustness can be defined as "the ability of a system to resist change without adapting its initial stable configuration".[1] If the probability distributions of uncertain parameters are known, the probability of instability can be estimated, leading to the concept of stochastic robustness.

"Robustness in the small" refers to situations wherein perturbations are small in magnitude, which considers that the "small" magnitude hypothesis can be difficult to verify because "small" or "large" depends on the specific problem. Conversely, "Robustness in the large problem" refers to situations wherein no assumptions can be made about the magnitude of perturbations, which can either be small or large.[2] It has been discussed that robustness has two dimensions: resistance and avoidance.[3]

Robustness of complex networks

This section is an excerpt from Robustness of complex networks[ edit ]

Robustness, the ability to withstand failures and perturbations, is a critical attribute of many complex systems including complex networks.

The study of robustness in complex networks is important for many fields. In ecology, robustness is an important attribute of ecosystems, and can give insight into the reaction to disturbances such as the extinction of species.[4] For biologists, network robustness can help the study of diseases and mutations, and how to recover from some mutations.[5] In economics, network robustness principles can help understanding of the stability and risks of banking systems.[6] And in engineering, network robustness can help to evaluate the resilience of infrastructure networks such as the Internet or power grids.[7]

Structural robustness

This section is an excerpt from Structural robustness[ edit ]

Robustness of biological systems

This section is an excerpt from Robustness (evolution)[ edit ]

Robustness of computer systems

This section is an excerpt from Robustness (computer science)[ edit ]
In computer science, robustness is the ability of a computer system to cope with errors during execution[8][9] and cope with erroneous input.[9] Robustness can encompass many areas of computer science, such as robust programming, robust machine learning, and Robust Security Network. Formal techniques, such as fuzz testing, are essential to showing robustness since this type of testing involves invalid or unexpected inputs. Alternatively, fault injection can be used to test robustness. Various commercial products perform robustness testing of software analysis.[10]

Robustness of financial trading systems

This section is an excerpt from Robustness (economics)[ edit ]

See also

References

  1. ↑ Wieland, A., Wallenburg, C.M., 2012. Dealing with supply chain risks: Linking risk management practices and strategies to performance. International Journal of Physical Distribution & Logistics Management, 42(10).
  2. ↑ C.Alippi: "Robustness Analysis" chapter in Intelligence for Embedded Systems. Springer, 2014, 283pp, ISBN 978-3-319-05278-6.
  3. ↑ Durach, C.F. et al. (2015), Antecedents and dimensions of supply chain robustness: a systematic literature review, International Journal of Physical Distribution & Logistics Management, Vol. 45, No. 1/2, pp. 118-137
  4. ↑ V. R. Sole; M. M. Jose (2001). "Complexity and fragility in ecological net-works". Proc. R. Soc. Lond. B 268 (1480): 2039–45. doi:10.1098/rspb.2001.1767. PMID 11571051. 
  5. ↑ A. Motter; N. Gulbahce; E. Almaas; A.-L. Barabási (2008). "Predicting synthetic rescues in metabolic networks". Molecular Systems Biology 4: 1–10. doi:10.1038/msb.2008.1. PMID 18277384. 
  6. ↑ Haldane, A. G.; May, R. M. (2011). "Systemic risk in banking ecosystems". Nature 469 (7330): 351–355. doi:10.1038/nature09659. PMID 21248842. Bibcode: 2011Natur.469..351H. 
  7. ↑ Albert, R.; Albert, I.; Nakarado, G.L. (2004). "Structural Vulnerability of the North American Power Grid". Phys. Rev. E 69 (2). doi:10.1103/physreve.69.025103. PMID 14995510. Bibcode: 2004PhRvE..69b5103A. 
  8. ↑ "A Model-Based Approach for Robustness Testing". http://dl.ifip.org/db/conf/pts/testcom2005/FernandezMP05.pdf. 
  9. ↑ 9.0 9.1 1990. IEEE Standard Glossary of Software Engineering Terminology, IEEE Std 610.12-1990 defines robustness as "The degree to which a system or component can function correctly in the presence of invalid inputs or stressful environmental conditions"
  10. ↑ Baker, Jack W.; Schubert, Matthias; Faber, Michael H. (2008). "On the assessment of robustness". Structural Safety 30 (3): 253–267. doi:10.1016/j.strusafe.2006.11.004. http://www.stanford.edu/~bakerjw/Publications/Baker%20et%20al%20(2008)%20Robustness,%20Structural%20Safety.pdf. Retrieved 2016-11-13. 



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