Dependability enhancement for coalition clusters with autonomic failure management

  • Authors:

  • Song Fu

  • Affiliations:

  • Department of Computer Science and Engineering, New Mexico Institute of Mining and Technology, Socorro, 87801, USA

  • Venue:
  • ISCC '10 Proceedings of the The IEEE symposium on Computers and Communications
  • Year:
  • 2010

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Abstract

In large-scale compute clusters, failures become norms instead of exceptions. Autonomic management of failures and resources in such systems is becoming more and more important. In this paper, we propose a failure management mechanism with prediction functionality for large coalition systems. It analyzes failure behaviors in a system and forecasts the prospective failure occurrences based on characterized failure dynamics. A prototype of our failure management system is implemented and deployed in a coalition cluster environment. Prediction results in the experiments show our proposed mechanism can accurately capture the failure trend in the coalition cluster.