Remember Me
Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:

OpenAIRE is about to release its new face with lots of new content and services.
During September, you may notice downtime in services, while some functionalities (e.g. user registration, login, validation, claiming) will be temporarily disabled.
We apologize for the inconvenience, please stay tuned!
For further information please contact helpdesk[at]openaire.eu

fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
de Lemos, Rogério; Potena, Pasqualina (2016)
Publisher: Morgan Kaufmann
Languages: English
Types: Part of book or chapter of book
Subjects: QA76
In the feedback control loop, uncertainty is associated to different sources (e.g., the environment), and appears in different forms (e.g., as noise in variables or imperfections in techniques being used). \ud In the MAPE-K control loop, uncertainty is normally handled by the decision maker at the Plan stage.\ud However, depending on the complexity of the stages of the MAPE-K control loop, uncertainties need also to be handled at other stages, depending on the uncertainties associated with that stage.\ud Moreover, uncertainties may also propagate between the stages of the control loop, which might affect how uncertainties are handled. \ud In this position paper, we claim that uncertainties should be identified and handled at the different stages of the feedback control loop.\ud We propose an approach for the identification of internal and external sources of uncertainty for a given stage, and we promote error propagation analysis as a method for analysing the propagation of uncertainties between stages.\ud In terms of tradeoff analysis, which can take place at any stage of the MAPE-K control loop, such an approach provides a clear benefit since it leads to a more accurate estimation of the system quality attributes because uncertainties are handled in the context where they arise.

Share - Bookmark

Download from

Cite this article

Cookies make it easier for us to provide you with our services. With the usage of our services you permit us to use cookies.
More information Ok