Future Platforms for Cloud-Edge Continuum – 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, 2023
https://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 9, 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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