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QoS Aware Middleware Support for Dynamically Reconfigurable Component Based IoT Applications
Author(s) -
Aitor Agirre,
Jorge Parra,
Aintzane Armentia,
Elísabet Estévez,
Marga Marcos
Publication year - 2016
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2016/2702789
Subject(s) - computer science , middleware (distributed applications) , interoperability , component (thermodynamics) , control reconfiguration , distributed computing , component based software engineering , quality of service , context (archaeology) , embedded system , software engineering , software system , operating system , software , computer network , paleontology , physics , biology , thermodynamics
Sensor web systems, cyber-physical systems, and the so-called Internet of Things are concepts that share a set of common characteristics. The nature of such systems is highly dynamic and very heterogeneous and issues such as interoperability, energy consumption, or resource management must be properly managed to ensure the operation of the applications within the required quality of service level. In this context, base technologies such as component based software engineering or Service Oriented Architecture can play a central role. Model driven development and middleware technologies also aid in the design, development, and operation of such systems. This paper presents a middleware solution that provides runtime support for the complete lifecycle management of a system consisting of several concurrent applications running over a set of distributed infrastructure nodes. The middleware builds up on top of a general purpose component model and is driven by a quality of service aware self-configuration algorithm that provides stateful reconfiguration capabilities in face of both internal application triggered and external application unaware reconfiguration events. The platform has been deployed over an automated warehouse supervision system that serves as a case study.

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