Ranking anomalies in data centers

• Published in: 2012 IEEE Network Operations and Management Symposium pp. 79 - 87
• Main Authors: Viswanathan, K., Choudur, L., Talwar, V., Chengwei Wang, Macdonald, G., Satterfield, W.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2012
• Subjects: Approximation methods; Detectors; Measurement; Monitoring; Servers; Time series analysis

Data centers are growing in size and complexity driven by trends such as cloud computing and on-line services. Such large data centers pose several challenges for system management. Key among them is anomaly detection which is required to monitor and analyze metrics across several thousands servers...