| With rapid development of cloud computing technologies, cloud data centers continue to grow in scale and complexity. Monitoring and analytics are the key enablers to provide visibility and insights in a large-scale infrastructure.;In this thesis, we present a monitoring and analytics system, called MonArch, designed for monitoring data collection, storage and analytics in a virtualized heterogeneous cloud environment. MonArch provides high scalability and flexibility to enable multi-layer heterogeneous resources monitoring. Scalable anomaly detection, root cause analysis, and graph processing capabilities are offered in MonArch to simplify resource monitoring and support real-time identification of system anomalies. MonArch supports a wide variety of use cases including security detection, system diagnosis, resource allocation, and IoT sensor data storage and processing. MonArch is implemented and deployed in the SAVI Testbed. The evaluation results demonstrate MonArch's scalability and efficiency in data monitoring, as well as its effectiveness in anomaly detection and root cause analysis. |
