Lei Wang 等：IEEE Transactions on Knowledge and Data Engineering，2021（11）

更新时间：2021-11-15 点击次数：3258

作者：Lei Wang，Shuhan Chen，Qiang He

题名：Concept Drift-based Runtime Reliability Anomaly Detection for Edge Services Adaptation

期刊：IEEE Transactions on Knowledge and Data Engineering，2021（11）

摘要：To meet the rapidly increasing need of computation-intensive and latency-sensitive applications, mobile edge computing (MEC has attracted tremendous attention from both academia and industry. However, the runtime reliability of edge services fluctuates over time due to the dynamics in their internal states and the external environment. This causes the distribution of edge services' reliability data streams to vary in the form of concept drift. Severe negative reliability drifts indicate that an edge service.