February 15, 2021 Extended to April 30, 2021
Lead Guest Editor
Diogo Mattos, Universidade Federal Fluminense, Brazil
Daniel Mossé, University of Pittsburgh, United States
Dianne Medeiros, Universidade Federal Fluminense, Brazil
Topics of interest include, but are not restricted to:
- 5G and 6G cellular networks (3GPP, ETSI, IEEE, etc.)
- Slicing solutions
- Cloud/ Fog solutions
- Smart Grids solutions
- Smart Homes/Buildings/Cities solutions
- Industry 4.0 solutions
- Software Defined Network (SDN)
- Network Function Virtualization (NFV)
- Architecture and protocols
- Green communication
- Centralized and distributed systems
- Management system
- Real-time issues
- Routing and MAC
- Big data
- Testbed and experimental platforms
- Industrial solutions
The structures of contemporary society are continually changing due to the rapid diffusion and transparent integration of computers and smart devices into daily life. The Internet of Things and Industry 4.0 have fostered new business opportunities, but they also present new and challenging requirements, such as low latency, security, and highly reliable communications. Hence, the next generations of telecommunications networks (5G and 6G) include increasing smart devices, such as cellphones and sensors, allowing real-time applications, and providing intelligence and confidentiality in the network infrastructure. To meet these requirements, the next generations of Internet of Things systems rely on fog and cloud computing, which emerge as potential solutions for the dynamic allocation of computational and network load to meet IoT application demands. In this sense, several challenges are latent, such as the following examples: autonomous communication of things (thing-to-thing or T2T), security of next-generation networks, new technologies that enable IoT applications in the cloud, multi-part connectivity, workload allocation, development of new IoT and Industry 4.0 applications.
This special issue focuses on the challenges of deploying cloud-based and Internet of Things applications, while considering the whole end-to-end architecture over the next generations of telecommunication networks, such as 5G & 6G, and cloud-enabled data center networking.
Papers must describe original research that advances the state-of-the-art and must not be simultaneously submitted to another journal or a conference with proceedings. Papers must be written in excellent English and comply with the instructions in the site. Previously published or accepted conference papers must contain at least 50% new material to be considered for the special issue; a cover letter clearly describing such extensions must accompany these types of submissions. All submissions must be made using the instructions available at:
The authors can directly submit their papers at: https://www.editorialmanager.com/ante/ and must select “Open Topic” in the menu “Choose Article Type” and then in the questionnaire on the “Additional Information” section, authors will be able to select the item “CfP: Enabling Technologies for Running IoT Applications on the Cloud”.
|Manuscript Submission||April 30, 2021|
|Author notification||June 15, 2021|
|Revised papers submission||July 16, 2021|
|Final acceptance||September 7, 2021|
|Online with DOI||As soon as accepted|
|Printed issue||End of 2021|
Dr. Diogo Mattos
Professor, Universidade Federal Fluminense, Brazil
Dr. Diogo Menezes Ferrazani Mattos is a professor at the Universidade Federal Fluminense (Niterói, Brazil). He received his degrees of D.Sc. and M.Sc. in Electrical Engineering from Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil, in 2017 and 2012. Between 2015 and 2016, he had a full-merit scholarship to work on his Ph.D. research in the LIP6 (Laboratoire d’Informatique de Paris 6) at Université Pierre et Marie Curie, Paris, France. He received a Computer and Information Engineer degree from Universidade Federal do Rio de Janeiro, in 2010. His main research interests include network security, machine learning, Internet of Things, and wireless network.
Dr. Daniel Mossé
Professor, University of Pittsburgh, United States
Dr. Daniel Mossé received his BS (Mathematics, 1985) from the University of Brasilia, Brazil, and MS and PhD degrees (Computer Science, 1990 and 1993) from the University of Maryland, College Park. He has been involved in the design and implementation of a couple of distributed, real-time operating system. His main research interest is in distributed systems, more specifically the allocation of resources (computing and network resources) in the realm of real-time, Internet of Things, power management, security, and fault tolerance. He bridges the gap between the operating systems and networking research fields. His research interests include Internet of Things, power-, energy- and temperature-aware systems; real-time systems, scheduling, distributed systems, wireless networking.
Dr. Dianne Medeiros
Professor, Universidade Federal Fluminense, Brazil
Dr. Dianne Medeiros is a professor at the Universidade Federal Fluminense (UFF). Dianne received her Master’s degree in Telecommunications Engineering from UFF in 2013, and her D.Sc. degree in Electric Engineering from the Universidade Federal do Rio de Janeiro in 2017. Between 2015 and 2016, she had a full-merit scholarship to work on her Ph.D. research in the LIP6 (Laboratoire d’Informatique de Paris 6) at Sorbonne Université, Paris, France. Her main research interests include Internet of Things, smart cities, wireless networks, and vehicular networks.