| Autor: |
Wali, Girish, Bulla, Chetan |
| Předmět: |
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| Zdroj: |
Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 3, p13967-13993, 27p |
| Abstrakt: |
The fog computing provides a platform for various time critical real-time applications. It reduces the communication latency by placing computational resources to near to IoT devices. The anomaly detection in fog computing is very essential aspect to improve the quality of service. An anomaly is a value, a status of resources or outcome that deviates from expected or normal values which affects the Quality of services. Anomaly detection is an important data analysis task which is useful for identifying various issues in fog computing environment. This paper presents detailed study of anomaly detection key factors, general architecture and anomaly detection techniques. It describes the state of the art anomaly detection techniques with comparative analysis. Finally, various applications and challenges/issues with future directions are discussed. This paper helps researchers, engineers and scientists to know the state-of-the-art works for anomaly detection techniques in fog computing environment. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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