Towards a Standards-Based Autonomic Context Management System

Indulska, Jadwiga; Henricksen, Karen; Hu, Peizhao

doi:10.1007/11839569_3

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Context awareness system architectures include the following layers: data acquisition, data modeling and representation, network management, and decision. The following context aware systems architectures have been identified (Indulska et al, 2006) (Li et al, 2015):…”

Section: Sensor Monitoring and Context Awarenessmentioning

confidence: 99%

Cyber Physical Systems Based Model-Driven Development for Precision Agriculture

2017

Model-Driven Approaches for Simulation Engineering (Mod4Sim 2017)

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In the last few years, a paradigm shift has been identified, from Complex Adaptive Systems towards Internet of Things and Cyber-Physical Systems of Systems. Systems that can integrate physical with virtual environments are creating complex systems. By connecting sensor data, actuator systems within a virtual environment information analysis is enhanced. The focus of the present paper is to discuss the role of Cyber-Physical Systems of Systems, in extending design principles, models and architecture guidelines for the development complex precision agriculture systems. The authors propose an architecture for the future agricultural enterprise as a complex system, addressing sensor networks and automated process modeling.

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Section: Sensor Monitoring and Context Awarenessmentioning

confidence: 99%

Cyber Physical Systems Based Model-Driven Development for Precision Agriculture

2017

Model-Driven Approaches for Simulation Engineering (Mod4Sim 2017)

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“…To ensure interoperability this mapping is based on the OGC Observation and Measurement standard for sensor observations and it has been discussed in our previous paper [7].…”

Section: Reconfiguration Managermentioning

confidence: 99%

Reconfigurable middleware for sensor based applications

Indulska

Robinson

2006

Proceedings of the 3rd International Middleware Doctoral Symposium

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The pervasive computing paradigm introduced context-aware applications that adapt themselves to their surrounding environment based on context information. Context information may be of different types including sensed context information gathered from a variety of sensors. In pervasive computing user intervention/interactions with their application should be minimised. On the other hand, pervasive computing environments are very dynamic environmentscontext information that supports adaptation decisions may not always be available due to user mobility and potential network and/or sensor failures. As context information supports autonomous adaptation of applications, the provision of context information itself has to be managed by an autonomic system able to both recognise and recover from context delivery failures. This paper presents the architecture of a context management system that is reconfigurable with regard to sensor and/or network failure and can support dynamic discovery and replacement of sensors. One of the components of this middleware architecture, the model and management of sensor descriptions, is described in more detail as it plays an important role in sensor discovery and replacement.

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“…One route towards harmonisation is to incorporate mark-up of sensor data and/or query results using XML formats such as O&M. However, semantic matching would still be required between high-level concepts and sensor data (e.g., between concepts such as activity and sensor observations such as movement or pressure). Indulska et al [12] have carried out some preliminary work in this area, but further research is required.…”

Section: Analysis and Future Directionsmentioning

confidence: 99%

A survey of middleware for sensor networks

Henricksen

Robinson

2006

Proceedings of the International Workshop on Middleware for Sensor Networks

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In future computing environments, networked sensors will play an increasingly important role in mediating between the physical and virtual worlds. However, programming sensor networks, and the applications that depend on the data they produce, is extremely challenging. The need for suitable middleware to address this problem is evident. In the last few years, various middleware solutions for sensor networks have emerged. These differ in terms of their models for querying and data aggregation, and their assumptions about the topology and other characteristics of the network. Naturally, the assumptions made for each particular middleware limit its potential applicability. Most of the current solutions provide relatively simple query abstractions, and therefore are not suitable for applications that have sophisticated requirements for processing of sensor data in the network. This paper presents a survey and analysis of the current state-of-the art in the field, highlighting the open research challenges. It also draws on the authors' experience with developing middleware for context-aware systems -that is, systems that rely on sensor-derived data to intelligently adapt their behaviour -to propose some future directions for the development of middleware for sensor networks.

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Towards a Standards-Based Autonomic Context Management System

Cited by 6 publications

References 8 publications

Cyber Physical Systems Based Model-Driven Development for Precision Agriculture

Cyber Physical Systems Based Model-Driven Development for Precision Agriculture

Reconfigurable middleware for sensor based applications

A survey of middleware for sensor networks

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