Future Platforms for Cloud-Edge Continuum – Theoretical Foundations
and Practical Considerations
https://wfiot2023.iot.ieee.org/future-platforms-cloud-edge-continuum-%E2%80%93-theoretical-foundations-and-practical-considerations
Special Session (SPES-01) organized within the scope of
9th IEEE World Forum on Internet of Things (IEEE WFIoT2023)
Aveiro, Portugal, October, 12-27, 2023https://wfiot2023.iot.ieee.org/
Internet of Things (IoT) brings 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 cloud-edge continuum. Within such continuum, data can be
produced, stored, and processed "anywhere". For instance, (1)
far/nano-edge devices produce data act upon it locally, (2) fog nodes
process data stream locally, while (3) cloud/HPC facilities deliver
"unlimited" processing capabilities, need, for instance, to train
(large) AI models. Taking into account the, systematically increasing,
scale of IoT deployments the question arises: what capabilities must
be facilitated by future IoT platforms, which 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: July 6, 2023
* Acceptance Notification: July 31, 2023
* Camera-Ready Paper Submission Deadline: August 20, 2023
Paper preparation and submission:
Paper should be six (6) pages in length and follow the instruction
provided for the main Conference. The conference allows up to two
additional pages for a maximum length of eight (8) pages with payment
of extra page charges once the paper has been accepted.
Organizers:
* Rajkumar Buyya, The University of Melbourne, and Manjrasoft Pvt Ltd,
Melbourne, Australia
* Maria Ganzha, Warsaw University of technology and Systems Research Institute
* Levent Gürgen, Kentyou, Grenoble, France
* Carlos Palau, Universitat Politecnica de Valencia
* Marcin Paprzycki, Systems Research Institute, Polish Academy of Sciences
* Tarik Taleb,The University of Oulu and MOSAIC Lab, Oulu, Finland
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