CRISP: Cloud resilient infrastructure for self-healing platforms in dynamic adaptation


연구 분야: Infrastructure



학회: International Journal of Information Technology


초록

As cloud computing evolves, traditional resilience strategies must adapt to new challenges. This paper introduces CRISP, Cloud Resilient Infrastructure for Self-Healing Platforms, a pioneering framework designed to enhance cloud resilience through autonomous fault management. By leveraging advanced machine learning, predictive analytics, and dynamic adaptation, CRISP Clouds provides a robust solution for real-time fault detection, diagnosis, and automated recovery. Our findings highlight CRISP Clouds’ ability to significantly improve system agility, minimize downtime, and optimize resource usage. This work presents a critical advancement in resilience engineering, setting the stage for future innovations in cloud technology.


Author Profile
Soha Rawas

Faculty of Science Department of Mathematics and Computer science Beirut Arab University Beirut Soha Lebanon

Andorra
Author Profile
Agariadne Dwinggo Samala

Faculty of Engineering Universitas Negeri Padang West Sumatera Indonesia

Indonesia
Author Profile
Aprilla Fortuna

Faculty of Engineering Universitas Negeri Padang West Sumatera Indonesia

Indonesia

📄 논문 정보

발행 연도 2024년
인용수 0
출판 국가 Andorra, Indonesia
사이트 Springer
좋아요 수 0

연관 논문 목록 (124건)