SC13 Home > SC13 Schedule > SC13 Presentation - Autonomic Failure Identification and Diagnosis for Building Dependable Computing Systems

SCHEDULE: NOV 16-22, 2013

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Autonomic Failure Identification and Diagnosis for Building Dependable Computing Systems

SESSION: Doctoral Showcase - Dissertation Research

EVENT TYPE: Doctoral Showcase - Dissertation Research Showcase

TIME: 2:30PM - 2:45PM

SESSION CHAIR: Alistair Rendell

Presenter(s):Qiang Guan

ROOM:601/603

ABSTRACT:
In modern cloud computing systems, hundreds and even thousands of cloud servers are interconnected by multi-layer networks. In such large-scale and complex systems, failures are common. Autonomic failure detection and diagnosis are crucial technologies for understanding emergent, cloud-wide phenomena and self-managing resource burdens for cloud availability and productivity enhancement. They are determining the quality of the services that cloud could provide to the customers. In my PhD dissertation, I am focusing on developing an autonomic failure management mechanism with the assurance of dependability to the cloud services. My work first sets out by studying the health-related performance metric. With metric selection and metric extraction technologies, failures related metrics are selected. Then learning from the characteristics of metrics from time domain and frequency domain separately, failure detection and diagnosis are achieved dynamically.

Chair/Presenter Details:

Alistair Rendell (Chair) - Australian National University

Qiang Guan - University of North Texas

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