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ThinkMind // CLOUD COMPUTING 2015, The Sixth International Conference on Cloud Computing, GRIDs, and Virtualization // View article cloud_computing_2015_5_20_20047


Associating Performance Measures with End User Performance: ISO 25023 Compliant Low Level Derived Measures

Authors:
Anderson Ravanello
Luis Villalpando
Jean-Marc Desharnais
Alain April
Abdelouahed Gherbi

Keywords: cloud computing; cloud application; SLA; ISO 25010; end user performance measurement

Abstract:
This paper applies a measurement procedure to predict the degraded state of a private cloud application using only available data center log low level derived measures (LLDM). Our intent is to improve the discussion of service level agreements of a widely used private cloud computing application (i.e. 80,000 users on 600 servers world-wide). In organizations, cloud application performance measuring is often based on subjective and qualitative measures with very few researches to address the large-scale private cloud perspective. Furthermore, measurement recommendations from ISO proposals (i.e. ISO 250xx series, ISO/IEC 15939 and more recently the ISO/SC38-SLA framework) are poorly adopted by the industry, mainly due to the absence of proof of concept and the high degree of complexity associated with implementing the measurement concepts described in these international standards. To try to demonstrate these concepts, the ISO 25010 performance efficiency characteristics are used with a number of LLDMs to model the state of a large private cloud computing application using indicators such as: normal, abnormal, adequate or degraded. This application still cannot be generalized due to its nature as research in progress.

Pages: 110 to 115

Copyright: Copyright (c) IARIA, 2015

Publication date: March 22, 2015

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-388-9

Location: Nice, France

Dates: from March 22, 2015 to March 27, 2015

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