A Survey of Usage of Anytime Algorithm in Fault detection in Cloud Systems

Fault detection, which requires a lot of time and complexity, is one of the most difficult tasks for cloud computing. In this research, we investigate the utilization of the anytime algorithm in cloud-based fault detection techniques. Anytime algorithms are real-time decision-making algorithms that...

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Veröffentlicht in:2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI) S. 000069 - 000074
Hauptverfasser: Asadova, Farida, Varkonyi-Koczy, Annamaria R., Kertesz, Gabor, Lovas, Robert
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 19.01.2023
Schlagworte:
Anytime algorithm
Artificial Agent
Cloud computing
Complexity theory
Decision making
Deep Learning
Fault detection
Informatics
Machine Learning
Real-time decision making
Real-time systems
Task analysis
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Zusammenfassung:Fault detection, which requires a lot of time and complexity, is one of the most difficult tasks for cloud computing. In this research, we investigate the utilization of the anytime algorithm in cloud-based fault detection techniques. Anytime algorithms are real-time decision-making algorithms that focus on time-deliberation. In this paper, the basic concepts of the Anytime algorithm in existing works as well as its benefits of usage are analyzed. Various literature is reviewed and combined for possible fault recognition and time deliberation. The paper includes details of anytime processing in fault detection in different subject areas. Based on the survey, we aim to define the algorithm processing implementation as future work.
DOI:10.1109/SAMI58000.2023.10044521