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Fog computing is mainly proposed for IoT applications that are geospatially distributed, large-scale, and latency sensitive. This poses new research challenges in real-time and scalable provisioning of IoT services distributed across Fog-Cloud computing platforms. Data-centric IoT services, as a dominant type of IoT services in large-scale deployments, require design solutions to speed up data processing...
IoT applications are essentially characterized by their highly dynamic nature, in which the configurations of both network and software systems may change. In the context of IoT software services, modifications can occur during application lifespan due to updates and amendments. Hence, third-party applications and services depending on the changed services need to take appropriate coordination and...
The potential of patient-centred care and a connected eHealth ecosystem can be developed through socially responsible innovative architectures. The purpose of this paper is to define key innovation needs. This is achieved through conceptual development of an architecture for common information spaces with emergent end-user applications by supporting intelligent processing of measurements, data and...
As Internet of Things (IoT) technology moves forward, more and more IoT provided services are being pushed toward clouds. Since the operation of IoT services runs the risk of failures due to lossy communication links and error prone nature of physical objects, cloud providers (offering such services) should provide suitable platforms supporting two desired service dependability features -- i.e., reliability...
The convergence of Internet of Things (IoT) and the Cloud has significantly facilitated the provision and management of services in large-scale applications such as smart cities. With a huge number of IoT services accessible through clouds, it is very important to model and expose cloud-based IoT services in a scalable manner, promising easy and realtime delivery of smart city services. The existing...
The vision of the Internet of Things (IoT) foresees a future Internet incorporating smart physical objects that offer hosted functionality as IoT services. These services when integrated with the traditional enterprise level services form the creation of ambient intelligence for a wide range of applications. To facilitate seamless access and service life cycle management of large, distributed and...
The development of resource-constrained embedded systems that are naturally state-driven is still a challenging issue, especially in industrial applications -- developed on a bare-bone style runtime system with basic programming features. This is because of the complexity of state-driven design in embedded applications, such as parallel and complicated event-based activity flows, and complicated constraints...
The applications of Cyber-Physical Systems (CPSs) in large scale, mobile and distributed systems, such as transportation and healthcare systems, foster the development of novel cross-CPS applications. Services, in such applications, enable the emergence of multiple end-to-end cyber-physical scenarios, formed dynamically based on their demands, e.g., Disaster recovery systems. This calls for new distributed...
The capabilities of Cyber-Physical Systems (CPSs) are increasingly being extended towards new composite services deployed across a range of smart sensing and controlling devices. These services enable the emergence of multiple end-to-end cyber-physical scenarios, formed dynamically based on their demands, e.g., disaster recovery systems. In such scenarios, each cyber-physical flow may be composed...
The challenge of designing and programming Wireless Sensor Network (WSN) applications has gained increasing attention in recent years. While most existing programming models for WSNs share the same goal of improving software modularity, there exists a gap between the structural software design patterns offered by them and the high-level description of system components. The gap has appeared due to...
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