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All Outputs (4)

Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering (2024)
Conference Proceeding
Zayed, A., & Al-Said Ahmad, A. (2024). Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering. . https://doi.org/10.1109/qrs-c63300.2024.00172

This study explores the use of chaos engineering in evaluating the performance and resilience of serverless applications, which are built as complex distributed systems subject to different types of failures and errors. By intentionally injecting con... Read More about Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering.

Towards Antifragility of Cloud Systems: An Adaptive Chaos driven Framework (2024)
Journal Article
Botros, J. S., Al-Qora'n, L. F., & Al-Said Ahmad, A. (2024). Towards Antifragility of Cloud Systems: An Adaptive Chaos driven Framework. Information and Software Technology, 174, Article 107519. https://doi.org/10.1016/j.infsof.2024.107519

Context
Unlike resilience, antifragility describes systems that get stronger rather than weaker under stress and chaos. Antifragile systems have the capacity to overcome stressors and come out stronger, whereas resilient systems are focused on their... Read More about Towards Antifragility of Cloud Systems: An Adaptive Chaos driven Framework.

Exploring the impact of chaos engineering with various user loads on cloud native applications: an exploratory empirical study (2024)
Journal Article
Al-Said Ahmad, A., Al-Qora’n, L. F., & Zayed, A. (2024). Exploring the impact of chaos engineering with various user loads on cloud native applications: an exploratory empirical study. Computing, 106(7), 2389-2425. https://doi.org/10.1007/s00607-024-01292-z

One of the most popular models that provide computer resources today is cloud computing. Today’s dynamic and successful platforms are created to take advantage of various resources available from service providers. Ensuring the performance and availa... Read More about Exploring the impact of chaos engineering with various user loads on cloud native applications: an exploratory empirical study.