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Fuzzy Controled QoS for Scalable Cloud Computing Services

Authors:
Stefan Frey
Claudia Lüthje
Vitali Huwwa
Christoph Reich

Keywords: Cloud Computing; Scaling Service; Fuzzy Logic; SLA; QoS

Abstract:
An important characteristic of cloud infrastruc- tures is scalability on demand. A scalability service monitors performance load metrics and decides to scale up or down, by provision or revoke of cloud resources. This could guarantee Quality of Service (QoS) and enforce Service Level Objectives (SLOs). The approach of this paper shows that with additional imprecise information (e.g. expected daytime performance) the up and down scale mechanism of such an infrastructure can be improved and SLA violation can be avoided.

Pages: 150 to 155

Copyright: Copyright (c) IARIA, 2013

Publication date: May 27, 2013

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-271-4

Location: Valencia, Spain

Dates: from May 27, 2013 to June 1, 2013