Sweden has a long and successful tradition of building advanced technical systems in critical industrial sectors, e.g., transportation, automation, power systems, and telecom. To assist Swedish industries in staying competitive in the long run, and being at the forefront in evolving their products and systems, smarter and more efficient industrial automation is needed. The initiative will drive this effort using Internet-of-Things (IoT) and cloud technologies to leverage industrial systems that are more intelligent and for providing new industrial services. In the long run, these technologies will allow developing smarter and more efficient embedded systems that exploit the vast amounts of data and computing power available on the cloud to the benefit of society and their users.
Smart products, systems, and services as encapsulated by terms such as IoT, big data and cloud computing, are perceived to have the potential for a strong economic impact in the coming decades that will total a substantial part of the entire world economy. Consumer applications are prevalent today, rapidly being followed by applications in society and industry. Huge improvements are envisioned through increased autonomy and intelligence in complex industrial functions, like transportation (e.g., self-driving vehicles) or automation (e.g., collaborative robotics). This will be achieved by connecting products and systems to each other, and by linking them to decision making software powered by the scalable computing resources available in the cloud. This has an enormous potential to unlock new functionality and will fundamentally transform society through automated transport and production.
Consumer products and non-critical industrial systems and services such as remote maintenance are currently being made smarter through connecting local device computations with cloud computing resources for computation and availability of big data. This initiative will conduct key research needed to enable ubiquitous access to cloud services in real-time, making this technology available also to operations in industrial systems. The initiative will leverage new technologies essentially developed in the mobile industry, namely low power high capacity processors, low cost high bandwidth reliable communications, and very cost-efficient high capacity computation and availability of data in the cloud, combined with new research to make reliable cloud enabled industrial systems.
ORGANIZATION OF EVENTS:
|First Name||Last Name||Title|
|Moris||Behnam||Associate Professor,Head of Division|
|Hongyu||Pei-Breivold||Associated Senior Lecturer|
EAICA: An Energy-aware Resource Provisioning Algorithm for Real-Time Cloud Services (Sep 2016) Hamid Reza Faragardi, Aboozar Rajabi , Kristian Sandström, Thomas Nolte 21st IEEE Conference on Emerging Technologies and Factory Automation (ETFA'16)
Towards a compositional service architecture for real-time cloud robotics: invited paper (Jun 2016) Shahina Begum, Moris Behnam, Thomas Larsson, Thomas Nolte, Kristian Sandström ACM SIGBED Review. Special Issue on 8th Workshop on Compositional Theory and Technology for Real-Time Embedded Systems (CRTS 2015) (SIGBED Review)
Internet of Things for Industrial Automation - Challenges and Technical (Dec 2015) Hongyu Pei-Breivold, Kristian Sandström the 8th International Conference on Internet of Things (iThings2015)
Towards a Compositional Service Architecture for Real-Time Cloud Robotics (Dec 2015) Shahina Begum, Moris Behnam, Thomas Larsson, Thomas Nolte, Kristian Sandström 8th International Workshop on Compositional Theory and Technology for Real-Time Embedded Systems (CRTS'15)
Applying Mitigation Mechanisms for Cloud-based Controllers in Industrial IoT Applications (Oct 2015) Pavlos Nikolaidis , Alma Didic , Saad Mubeen, Hongyu Pei-Breivold, Kristian Sandström, Moris Behnam Internet-of-Things Symposium (IoT Symposium'15)
Experiences and Reflections on Cloud Computing Course for Second and Third Cycle Education (Sep 2015) Hongyu Pei-Breivold, Ivica Crnkovic Workshop on Enhancing Software Engineering Education (WESEE2015)