Research Article
Opportunistic Collaborative Service Networks: The Facilitator for Efficient Data and Services Exchange
@INPROCEEDINGS{10.1007/978-3-319-47063-4_32, author={Dimosthenis Kyriazis and George Kousiouris and Alexandros Psychas and Andreas Menychtas and Theodora Varvarigou}, title={Opportunistic Collaborative Service Networks: The Facilitator for Efficient Data and Services Exchange}, proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2017}, month={1}, keywords={Cloud IoT Sensors Data exchange Services exchange Collaborative service networks Opportunistic service networks Swarms}, doi={10.1007/978-3-319-47063-4_32} }- Dimosthenis Kyriazis
George Kousiouris
Alexandros Psychas
Andreas Menychtas
Theodora Varvarigou
Year: 2017
Opportunistic Collaborative Service Networks: The Facilitator for Efficient Data and Services Exchange
IOT360
Springer
DOI: 10.1007/978-3-319-47063-4_32
Abstract
The dynamic rapidly changing and technology-rich digital environment and the market economic constraints shift service provisioning from a pre- and strictly-defined to an on-demand and ad-hoc orientation, where applications depend on dynamic, scarce, distributed resources, which operate at different temporal and spatial scales, have different (potentially conflicting) objectives and are governed under different domains of control. The framework described in this paper aims at enabling the exploitation of all available highly heterogeneous resources (i.e. clouds, communicating objects, sensors and smart devices) by providing a service-based environment that allows for harvesting, dynamically creating and managing these diverse, discrete and distributed resources. Swarms refer to opportunistic service networks, which as new constructs can rapidly emerge in relation either to users and applications requirements or to events and information of great potential for the wider community, coordinated by an open and distributed runtime model.
