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ARVIS: An Automated Resilience Verification and Improvement System for Cloud Environments

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(5), 25
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : October 10, 2025
  • Accepted : October 22, 2025
  • Published : October 31, 2025

Chan-Hwi Lee 1 Keun-Ho Lee 2

1백석대학교 컴퓨터공학부
2백석대학교

Accredited

ABSTRACT

With the recent acceleration of cloud service adoption across various sectors, cloud failures have become synonymous with business disruption. However, existing resilience management approaches suffer from fragmented environments, insufficient verification of recovery reliability, and limitations in quantitative assessment. These challenges lead to delayed and failed recovery in the event of failures or attacks, posing a significant threat to service continuity and reliability. To overcome these limitations, this paper proposes the Automated Resilience Verification and Improvement System (ARVIS), which integrates chaos engineering, immutable backup, cloud-native orchestration, and AI/ML-based resilience analytics. ARVIS actively verifies failures, ensures clean recovery points, automates recovery processes, and quantifies and predicts resilience, thereby implementing an automated, closed loop of verification, measurement, and improvement. This system simultaneously enhances reliability, visibility, and efficiency in resilience management in cloud environments.

Citation status

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