Resource management support for SCA based distributed applications

Agirre, Aitor; Estévez, Elisabet; Marcos, Marga

doi:10.1109/etfa.2014.7005312

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…The QoS monitoring mechanism is explained in detail in [4]. The DAMP components derive from a base class that provides the low level mechanisms to measure the execution time as well as the response time of the component.…”

Section: Qos Monitormentioning

confidence: 99%

QoS management for dependable sensory environments

Agirre

Parra

Armentia

et al. 2015

Multimed Tools Appl

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Sensory environments for healthcare are commonplace nowadays. A patient monitoring system in such an environment deals with sensor data capture, transmission and processing in order to provide on-the-spot support for monitoring the vulnerable and critical patients. A fault in such a system can be hazardous on the health of the patient. Therefore, such a system must be dependable and ensure reliability, fault-tolerance, safety and other critical aspects, in order to deploy it in real scenario. Also, the management of the infrastructure resources must be efficient and the eventual system reconfiguration must be reliably performed. This paper encounters some of these issues and proposes a component platform with specific support for several QoS aspects, namely fault tolerance, safe inter-component communication and resource management. The platform adopts the Service Component Architecture (SCA) model and defines a Data Distribution Service (DDS) binding, which provides the fault tolerance and the required safety-ensuring techniques and measures, as defined in the IEC Multimed Tools Appl

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Section: Qos Monitormentioning

confidence: 99%

QoS management for dependable sensory environments

Agirre

Parra

Armentia

et al. 2015

Multimed Tools Appl

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“…The concepts of service and service implementation [9] have inspired the concepts of logical component and physical component . The middleware architecture is the result of previous work [10,11], as well as the low level QoS management mechanisms [12,13], the definition of the basic services [14], and the basic fault tolerance mechanisms for the middleware components [11,15]. This paper is focused on the QoS aware dynamic reconfiguration algorithm proposed in Section5.…”

Section: Introductionmentioning

confidence: 99%

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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Resource management support for SCA based distributed applications

Cited by 2 publications

References 15 publications

QoS management for dependable sensory environments

QoS management for dependable sensory environments

QoS Aware Middleware Support for Dynamically Reconfigurable Component Based IoT Applications

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