A Scalable Self -Diagnosing Content Distribution Service With Bounded Latency
Huang, Chengdu
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Permalink
https://hdl.handle.net/2142/81779
Description
Title
A Scalable Self -Diagnosing Content Distribution Service With Bounded Latency
Author(s)
Huang, Chengdu
Issue Date
2007
Doctoral Committee Chair(s)
Abdelzaher, Tarek F.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
The self-diagnosing capability of our service comes from the scalable learning-based performance problem diagnosis techniques we propose. The increasing complexity of systems has motivated design of machine learning approaches to automate some system management tasks. However, with increase in scale, current approaches suffer from serious scalability issues. We present two scalable learning-based techniques that automatically identify probable causes of performance problems in large server systems with multiple tiers and replicated sites. By incorporating a large number of diagnostic information sources using a temporal segmentation mechanism and applying transfer learning techniques, we achieve both scalability and improved diagnosis accuracy.
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