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A Coordinated Reactive and Predictive Approach to Cloud Elasticity

Authors:
Laura Moore
Kathryn Bean
Tariq Ellahi

Keywords: elasticity; predictive; auto-scaling; platform-as-a-service

Abstract:
Based on pay-per-use service-oriented architectures, the cloud computing paradigm promises cost-efficient IT solutions. To meet fluctuating demands efficiently, Platform-as-a-Service solutions offer shared environments with on-demand scalability. It remains an open challenge for service providers to implement elastic scalability mechanisms capable of optimally utilizing resource whilst simultaneously guaranteeing that application performance continues to meet Quality of Service metrics. Typically, cloud providers offer only reactive rule-based mechanisms for triggering scaling actions. We introduce a new elasticity management framework that combines reactive and predictive controllers. Our elasticity controller builds predictive models online based on the reactive rules, representing a natural extension to the common offering. We discuss the underlying architecture of the framework and describe how the controllers operate in tandem and complement each other. We present a case study based on real datasets that demonstrates the feasibility of our real-time cloud capacity framework.

Pages: 87 to 92

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