Call for papers – IEEE 8th World Forum on Internet of Things

Future Platforms for Edge-Cloud Continuum – Theoretical Foundations and Practical Considerations

Internet of Things (IoT) is expected to bring fundamental changes to all sectors of society and economy. However, realization of the IoT vision requires data processing (stream, static, or both) in an “optimal location” within the edge-cloud continuum. Here, it is assumed that far-edge/nano-edge devices produce data and actuate; edge/fog consist of “heterogeneous intermediate devices”, where data can be processed, cloud/HPC facilities deliver “unlimited” processing capabilities, while all of them jointly (and supported by resources/services/data orchestration) constitute the edge-cloud continuum. In this context, future IoT platforms will have to manage processes in multi-stakeholder, multi-cloud, federated, large-scale IoT ecosystems.

Here, key challenges are related to the fact that such platforms (encompassing operating systems, up to applications), will have to jointly leverage continuous progress of multiple enabling technologies, e.g.: 5G/6G networking, privacy and security, distributed computing, artificial intelligence, trust management, autonomous computing, distributed/smart applications, data management, etc. Moreover, they must facilitate intelligent (autonomous) orchestration of physical/virtual resources and tasks, by realizing them at the “optimal location” within the ecosystem (e.g., closer to where data is produced). To achieve this, resource-aware frugal AI is needed, to facilitate self-awareness and decision support, across heterogeneous ecosystem. Finally, it is also absolutely necessary that resource management will consider the CO2 footprint of the ecosystem and efficiently deploy data and tasks and also use multi-owner, heterogeneous sources of renewable energy.

In this context, contributions addressing theoretical and practical aspects of the following topics are invited (this list is, obviously, not exhaustive):

  • IoT architectures for domain agnostic user-aware, self-aware, (semi-)autonomous edge-cloud continuum platforms, including proposals for novel decentralized topologies, ad-hoc resource federation, time-triggered behaviors
  • Foundations for next generation of higher-level (meta) operating systems facilitating efficient use of computing capacity across edge-cloud continuum
  • Resource aware AI, including frugal AI, bringing intelligence to the edge-cloud continuum platforms (and ecosystems)
  • Cognitive frameworks leveraging AI-techniques to improve optimization of infrastructure usage and services and resources orchestration
  • Efficient streaming Big Data processing within large-scale IoT ecosystems
  • Interoperability solutions for multi-user edge-cloud continuum platforms, capable of coping with systematically increasing complexity of connecting vast numbers of heterogeneous devices
  • Federated data spaces approach for improved data governance, sovereignty and sharing
  • Privacy, security, trust and data governance in competitive scenarios
  • CO2 footprint reduction and efficient use of green energy in edge-cloud continuum ecosystems
  • Practical aspects of resource orchestration within highly heterogeneous, large-scale edge-cloud continuum ecosystems
  • Intent-based networking and its application to IoT
  • Swarm intelligence for IoT-edge-cloud continuum


Important Dates:

  • Paper submission: 13 June 2022
  • Acceptance Notification: 8 July 2022
  • Camera-Ready Paper Submission Deadline: 31 July 2022



  •  Dr. Rajkumar Buyya, The University of Melbourne, and Manjrasoft Pvt Ltd, Melbourne, Australia
  • Dr. Maria Ganzha, Warsaw University of technology and Systems Research Institute, Polish Academy of Sciences, Technical Coordinator of ASSIST-IoT
  • Dr. Levent Gurgen, Kentyou, Grenoble, France
  • Dr. Carlos Palau, Universitat Politecnica de Valencia, Coordinator of ASSIST-IoT project
  • Dr. Marcin Paprzycki, Systems Research Institute, Polish Academy of Sciences, ASSIST-IoT Leader of Scientific Dissemination Task
  • Dr. Tarik Taleb, The University of Oulu and MOSA!C Lab, Oulu, Finland

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