Development and instrumentation of a framework for the generation and management of self-adaptive enterprise applications

Companies’ operations have become over-dependent on their supporting enterprise software applications. This situation has placed a heavy burden onto software maintenance teams who are expected to keep these applications up and running optimally in varying execution conditions. However, this high hum...

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Autores:
Paz, Andrés
Arboleda Jiménez, Hugo Fernando
Tamura Morimitsu, Gabriel
Jiménez, Miguel Angel
Tipo de recurso:
Article of investigation
Fecha de publicación:
2016
Institución:
Universidad ICESI
Repositorio:
Repositorio ICESI
Idioma:
eng
OAI Identifier:
oai:repository.icesi.edu.co:10906/81748
Acceso en línea:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982286059&doi=10.11144%2fJaveriana.iyu20-2.difg&partnerID=40&md5=63b3c632281d3171a33572836ff18cb3
http://hdl.handle.net/10906/81748
http://dx.doi.org/10.11144/Javeriana.iyu20-2.difg
Palabra clave:
Command and control system
Telecommunication
Systems engineering
self-adaptive enterprise applications
Automatización y sistemas de control
Ingeniería de sistemas y comunicaciones
Telecommunication
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:Companies’ operations have become over-dependent on their supporting enterprise software applications. This situation has placed a heavy burden onto software maintenance teams who are expected to keep these applications up and running optimally in varying execution conditions. However, this high human intervention drives up the overall costs of software ownership. In addition, the current dynamic nature of enterprise applications constitutes challenges with respect to their architectural design and development, and the guarantee of the agreed quality requirements at runtime. Efficiently and effectively achieving the adaptation of enterprise applications requires an autonomic solution. In this paper, we present SHIFT, a framework that provides (i) facilities and mechanisms for managing self-adaptive enterprise applications using an autonomic infrastructure, and (ii) automated derivation of self-adaptive enterprise applications and their respective monitoring infrastructure. Along with the framework, our work led us to propose a reference specification and architectural design for implementing self-adaptation autonomic infrastructures. We developed a reference implementation of SHIFT; our contribution includes the development of monitoring infrastructures, and dynamic adaptation planning and automated derivation strategies. SHIFT, along with its autonomic infrastructure and derived enterprise application, can provide a cost-effective mean to fulfill the agreed quality in these types of applications. © 2016, Pontificia Universidad Javeriana. All rights reserved.