Correct Execution of Reconfiguration for Stateful Components

Hammer, Moritz; Knapp, Alexander

doi:10.1016/j.entcs.2009.12.033

Cited by 4 publications

(2 citation statements)

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“…In [34] the state transfer is application specific; thus the application components must provide methods to let the middleware get a component state and inject it into its replica. A similar approach is presented in [35].…”

Section: Related Workmentioning

confidence: 99%

“…The state of the application components is modeled as an array of bytes. This makes the mechanism generic enough to support any application specific state without the need of specific ad hoc components as in [34]. Obviously, this state can be injected later into components capable of interpreting its format, which is the case of component replicas considered in this work.…”

Section: Stateful Reconfiguration Supportmentioning

confidence: 99%

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QoS Aware Middleware Support for Dynamically Reconfigurable Component Based IoT Applications

Agirre

Parra

Armentia³

et al. 2016

International Journal of Distributed Sensor Networks

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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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Section: Related Workmentioning

confidence: 99%

Section: Stateful Reconfiguration Supportmentioning

confidence: 99%