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An extended description of MORPH: a reference architecture for configuration and behaviour self-adaptation

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Title: An extended description of MORPH: a reference architecture for configuration and behaviour self-adaptation
Authors: Braberman, V
D Ippolito, N
Kramer, J
Sykes, D
Uchitel, S
Item Type: Conference Paper
Abstract: An architectural approach to self-adaptive systems involves runtime change of system configuration (i.e., the system’s components, their bindings and operational parameters) and behaviour update (i.e., component orchestration). The architecture should allow for both configuration and behaviour changes selected from pre-computed change strategies and for synthesised change strategies at run-time to satisfy changes in the environment, changes in the specified goals of the system or in response to failures or degradation in quality attributes, such as performance, of the system itself. Although controlling configuration and behaviour at runtime has been discussed and applied to architectural adaptation, architectures for self-adaptive systems often compound these two aspects reducing the potential for adaptability. In this work we provide an extended description of our proposal for a reference architecture that allows for coordinated yet transparent and independent adaptation of system configuration and behaviour.
Issue Date: 1-Jan-2017
Date of Acceptance: 20-Dec-2016
URI: http://hdl.handle.net/10044/1/77477
DOI: 10.1007/978-3-319-74183-3_13
ISBN: 9783319741826
ISSN: 0302-9743
Publisher: Springer Verlag
Start Page: 377
End Page: 408
Journal / Book Title: Lecture Notes in Computer Science
Volume: 9640
Copyright Statement: © Springer International Publishing AG 2017. The final publication is available at Springer via https://link.springer.com/chapter/10.1007%2F978-3-319-74183-3_13
Sponsor/Funder: Imperial College Trust
Funder's Grant Number: P48708
Conference Name: SEFSAS
Keywords: Artificial Intelligence & Image Processing
Publication Status: Published
Start Date: 2013-12-15
Finish Date: 2013-12-19
Conference Place: Dagstuhl Castle, Germany
Online Publication Date: 2018-01-18
Appears in Collections:Computing
Faculty of Engineering