D. Smith, Q. Guan and S. Fu, “An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems,” IEEE 34th Annual IEEE Computer Software and Applications Conference Workshops, Seoul, 19-23 July 2010, pp. 376-381.

has been cited by the following article:

• TITLE: Design of a Performance Measurement Framework for Cloud Computing

  AUTHORS: Luis Bautista, Alain Abran, Alain April

  KEYWORDS: Cloud Computing; Measurement; Performance; ISO 25010; COSMIC, Maintenance

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.5 No.2, February 27, 2012

  ABSTRACT: Cloud Computing is an emerging technology for processing and storing very large amounts of data. Sometimes anomalies and defects affect part of the cloud infrastructure, resulting in a performance degradation of the cloud. This paper proposes a performance measurement framework for Cloud Computing systems, which integrates software quality concepts from ISO 25010.