DYNAMICO: A Reference Model for Governing Control Objectives and Context Relevance in Self-Adaptive Software Systems

Despite the valuable contributions on self-adaptation, most implemented approaches assume adaptation goals and monitoring infrastructures as non-mutable, thus constraining their applicability to systems whose context awareness is restricted to static monitors. Therefore, separation of concerns, dyna...

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Autores:
Müller, Hausi A.
Duchien, Laurence
Casallas, Rubby
Villegas, Norha Milena
Tamura Morimitsu, Gabriel
Tipo de recurso:
http://purl.org/coar/resource_type/c_c94f
Fecha de publicación:
2010
Institución:
Universidad ICESI
Repositorio:
Repositorio ICESI
Idioma:
eng
OAI Identifier:
oai:repository.icesi.edu.co:10906/82843
Acceso en línea:
http://link.springer.com/10.1007/978-3-642-35813-5_11
http://repository.icesi.edu.co/biblioteca_digital/handle/10906/82843
http://dx.doi.org/10.1007/978-3-642-35813-5_11
Palabra clave:
Ingeniería de sistemas y comunicaciones
Automatización y sistemas de control
Monitoreo de redes
Systems engineering
Automation Command and control system
Ingeniería de software
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:Despite the valuable contributions on self-adaptation, most implemented approaches assume adaptation goals and monitoring infrastructures as non-mutable, thus constraining their applicability to systems whose context awareness is restricted to static monitors. Therefore, separation of concerns, dynamic monitoring, and runtime requirements variability are critical for satisfying system goals under highly changing environments. In this chapter we present DYNAMICO, a reference model for engineering adaptive software that helps guaranteeing the coherence of (i) adaptation mechanisms with respect to changes in adaptation goals; and (ii) monitoring mechanisms with respect to changes in both adaptation goals and adaptation mechanisms. DYNAMICO improves the engineering of self-adaptive systems by addressing (i) the management of adaptation properties and goals as control objectives; (ii) the separation of concerns among feedback loops required to address control objectives over time; and (iii) the management of dynamic context as an independent control function to preserve context-awareness in the adaptation mechanism. © 2013 Springer-Verlag.