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A. Gambi, D. Moldovan, G. Copil, H. Truong, S. Dustdar:
"On Estimating Actuation Delays in Elastic Computing Systems";
Talk: 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2013) co-located with ICSE 2013, San Francisco, CA, USA; 05-18-2013 - 05-26-2013; in: "Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2013)", M. Litoiu, J. Mylopoulos (ed.); IEEE Press, CFP1380C-ART (2013), ISBN: 978-1-4673-4401-2; 33 - 42.

Elastic controllers autonomically adjust the allocation
of resources in cloud computing systems. Usually such controllers
assume that control actions will take immediate effect. In
clouds, however, actuation times may be long, and the controllers
can hardly guarantee acceptable levels of service if they neglect
these actuation delays. Therefore, the ability to correctly estimate
the time that control actions take effect on the systems is crucial.
However, detecting actuation delays in elastic computing systems
is challenging because cloud systems provide only inaccurate and
incomplete data about reconfigurations timing.
In this paper, we tackle the problem of estimating the delay
of control actions in elastic systems. We identify recurring
types of changes in the monitored metrics and requirements to
properly carry out the estimation. Based on that, we develop
a novel framework for the actuation delays estimation that
utilizes change point detection techniques. We conduct several
experiments with real-world systems to illustrate the feasibility
and applicability of our framework.

Project Head Schahram Dustdar:
Automatic Elasticity Provisioning Platform for Cloud Applications