[hpc-announce] Call for Papers - Frontiers in the Internet of Things Journal - Section: IoT Computing Paradigms

Rajkumar Buyya rbuyya at unimelb.edu.au
Mon Jul 3 02:32:49 CDT 2023

Journal: Frontiers in the Internet of Things Journal

Section: IoT Computing Paradigms

Call for Papers


The Internet of Things (IoT) paradigm promises to make various “things” 
such as physical objects with sensing capabilities and/or attached with 
tags, mobile objects such as smart phones and vehicles, consumer 
electronic devices and home appliances such as fridges, televisions, and 
healthcare devices, become a part of the Internet environment. In 
cloud-centric IoT applications, the sensor data from these “things” is 
extracted, accumulated and processed in public or private clouds, 
leading to significant latencies.

To satisfy the ever-increasing demand for Cloud Computing resources from 
emerging applications such as IoT, academics and industry experts are 
now advocating for going from large-centralized Cloud Computing 
infrastructures to micro data centers located at the edge of the 
network. These micro data centers are often closer to a user 
(geographically and in access latency) compared to the centralized cloud 
data center. The aim of utilizing such edge resources is to offload 
computation that would have traditionally been carried out at the cloud 
data center to a resource that is closer to a user or edge devices. This 
vision also acknowledges the variation in network latency from an end 
user to cloud data center. The network around a data center is often 
high capacity and speed, whereas that near the user device may have 
variably properties, in terms of resilience, bandwidth, latency, etc.

Referred to as “Cloud-Edge-IoT (C-E-I) computing continuum”, this 
paradigm is expected to improve the agility of cloud service deployments 
in addition to bringing computing resources closer to end-users. On the 
one hand, the development of IoT and Edge clouds includes dedicated 
facilities, operating system, network and middleware techniques, to 
build and operate such micro data centers that host virtualized 
computing resources. On the other hand, the use of IoT and Edge clouds 
requires extension to current programming models and propose new 
abstractions that will allow developers to design new applications that 
take benefit from such massively distributed systems. The use of this 
approach also opens up other challenges in: security and privacy (as a 
user now needs to trust every micro data center they interact with), 
support for resource management for mobile users who transfer session 
from one micro data center to another, support for embedding such micro 
data centers into devices (e.g. cars, buildings, etc.).

This section seeks to attract contributions covering both theory and 
practice of any of the aforementioned challenges, from the management 
software stack to domain-specific applications.

Topics of interest are:
• Data centers and infrastructures for Cloud-Edge-IoT continuum
• Middleware for Cloud-Edge-IoT continuum infrastructures
• Programming models and runtime systems for Cloud-Edge-IoT continuum
• Scheduling for Cloud-Edge-IoT continuum infrastructures
• Storage in Cloud-Edge-IoT continuum
• Monitoring/metering of Cloud-Edge-IoT continuum infrastructures
• Cloud-Edge-IoT continuum computing applications
• Latency/locality-critical applications
• Legal issues in Cloud-Edge-IoT continuum clouds
• Modelling Cloud-Edge-IoT continuum environments - e.g. using process 
networks, agent-based models, Peer-2-Peer systems, etc.
• Performance monitoring and modelling
• Applications of Cloud-Edge-IoT continuum computing
• Distributed Learning algorithms in Cloud-Edge-IoT continuum computing<
• Lifelong Learning algorithms in Cloud-Edge-IoT continuum

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