Ensuring system performance for cluster and single server systems

  • Authors:
  • Alberto Avritzer;André Bondi;Elaine J. Weyuker

  • Affiliations:
  • Siemens Corporate Research, Princeton, NJ 0854, USA;Siemens Corporate Research, Princeton, NJ 0854, USA;AT&T Labs - Research, 180 Park Avenue, Florham Park, NJ 07932, USA

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2007

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Abstract

A new approach that is useful in identifying and eliminating performance degradation occurring in aging software is proposed. A customer-affecting metric is used to initiate the restoration of such a system to full capacity. A case study is described in which, by simulating an industrial software system, we are able to show that by monitoring a customer-affecting metric and frequently comparing its degradation to the performance objective, we can ensure system stability at a very low cost.