THE ANTIFRAGILE BLUEPRINT: ADVANCING PREDICTIVE MODELS FOR SYSTEMIC RESILIENCE THROUGH CHAOS ENGINEERING

Authors

  • Sreenivasulu Purini Independent Researcher, 2204, Halter ln, Reston, Virginia, USA Author

Keywords:

Antifragility, Predictive Models, Systemic Resilience, Chaos Engineering And Advanced Framework

Abstract

In the increasingly interconnected systems of today - be it technological, ecological, or social - the capacity to withstand shocks and adapt has become paramount. This paper explores the concept of antifragility as a crucial component of system resilience, particularly through the lens of chaos engineering. Antifragility, as opposed to mere robustness or resilience, refers to systems that benefit and grow stronger from stressors, volatility, and disturbances. We propose advanced predictive models that leverage chaos engineering to not only safeguard systems against disruptions but also enable them to thrive in the face of chaos. Through a comprehensive review of current methodologies, a novel framework is developed, aimed at equipping systems with the capability to anticipate, adapt, and evolve positively when exposed to potential threats and uncertainties.

References

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Gunderson, L. H., & Holling, C. S. (Eds.). (2002). Panarchy: Understanding Transformations in Human and Natural Systems. Island Press.

Link, D., & Randell, B. (2017). Exploring the Resilience of Complex Systems through Chaos Engineering. In Proceedings of the 4th ACM International Workshop on Software Engineering for Resilient Systems.

Morel, M., & Ramanujam, R. (2017). From Robustness to Resilience: Avoiding Policy Traps in the Long Term. Sustainability Science.

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Published

2023-01-15

How to Cite

THE ANTIFRAGILE BLUEPRINT: ADVANCING PREDICTIVE MODELS FOR SYSTEMIC RESILIENCE THROUGH CHAOS ENGINEERING. (2023). INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND MANAGEMENT INFORMATION SYSTEMS (IJITMIS), 14(1), 54-58. https://iaeme-library.com/index.php/IJITMIS/article/view/IJITMIS_14_01_006