CCGRID'24 ET-Edge 2024 : ET-Edge'24 with 24th IEEE/ACM CCGRID - Energy Efficient Trustworthy Sustainable Edge-Cloud Computing WORKSHOP with The 24th IEEE/ACM CCGRID'24
Call For Papers
CALL FOR PAPERS
2nd International Workshop on
ET-Edge 2024 - Energy Efficient Trustworthy Sustainable Edge-Cloud Computing
in conjunction with
The 24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) 2024
Philadelphia, USA May 6-9, 2024
CCGRID'24 workshop page: https://2024.ccgrid-conference.org/workshops/
Nowadays, due to the advancement of the Internet, several emerging areas (e.g., cyber-physical systems, sensors, healthcare, and the Internet of Things) have become much more popular. These geographically dispersed devices are connected to a network. Exchanging data through these networks faces several issues such as network breakdown with high latency rate, security, and privacy of data, etc. Due to the increased complexity of such networks, edge computing, and advanced cryptographic technologies can play an important role and provide an optimized solution to build a secure and privacy-preserving network. Because most standard encryption algorithms are well suited for the desktop environment, many are not suited to constrained devices such as IoT. Therefore, we also need a lightweight advanced cryptographic solution to secure the data.
The key objective of the workshop theme is to encompass the following issues:
To understand the importance of green hardware and software solutions in the next generation of consumer electronics, and their role in energy management and e-waste reduction.
To explore the potential of Distributed and Resilient Machine Learning (DRML) approaches in providing trustworthy, scalable, and energy-efficient solutions for Edge-Cloud computing
To discuss the challenges and opportunities in developing distributed green applications and software solutions that meet organizations' requirements while promoting energy efficiency.
To investigate methods for ensuring data integrity, security, and resilience in green consumer electronics systems, including protection against malicious attacks and breaches.
This workshop aims to bring together researchers, practitioners, and industry experts to discuss and explore innovative solutions that leverage Distributed and Resilient Machine Learning (DRML) approaches to achieve data integrity, security, and reliability, without compromising the consumer experience.
Topics of Interest
Topics of interest include but are not limited to the following:
Green hardware and software solutions for energy management in Edge Cloud Computing
Distributed and Resilient Machine Learning (DRML) for trustworthy and energy-efficient applications
Data integrity and security in green Edge Cloud Computing
Resilience, availability, confidentiality, scalability, and robustness in DRML solutions
Privacy-preserving techniques in energy-efficient Edge Cloud Computing
Digital Twin for Edge Cloud Computing
Edge Cloud Computing for 5G&B
Edge Cloud Computing for Healthcare Applications
Edge Cloud Computing for Smart Grid Applications
Edge Cloud Computing for Smart Transportations
Edge Cloud Computing for Industrial IoT
AI/ML for Edge Cloud Computing
Edge-Intelligence (EI): AI/ML driven Edge for Smart Infrastructures
Emerging Architecture/Framework for Intelligent Edge Cloud Computing
QoS modeling, measurement, and optimization of Edge Cloud Computing
Edge Cloud Computing and SDN for Smart Infrastructures
Papers Due: December 31, 2023 [Extended Deadline]
Workshop Paper Acceptance: January 15, 2024
Workshop Camera Ready: March 4, 2024
Authors are invited to submit papers electronically. Submitted manuscripts should be structured as technical papers and may not exceed 8 letter size (8.5 x 11) pages including figures, tables, and references using the IEEE format for conference proceedings. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference attendees.
Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers determined to be under active review elsewhere will be rejected without review. Submissions received after the due date, exceeding the length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information. The proceedings will be published through the IEEE Press, USA, and will be made available online through the IEEE and ACM Digital Libraries.
Please use the following Easychair link to submit your paper(s):
Uttam Ghosh, Meharry Medical Colleges, Nashville, TN, USA, email@example.com
Sachin Shetty, Old Dominion University, Virginia, USA, firstname.lastname@example.org
Al-Sakib Khan Pathan, United International University (UIU), Bangladesh, email@example.com
Technical Program Committee
Sourav Banerjee, Kalyani Government Engineering College, India
Pushpita Chatterjee, Howard University, USA
Debashis Das, Kalyani University, India
Deepak Tosh, University of Texas at El Paso, USA
Suman Bhunia, Miami University, USA
Sidheswar Routray, Indrashil University, Mehsana, India
Amrit Mukherjee, University of Bohemia, Czech Republic
1st Edition of the Workshop was successfully held with IEEE CloudNet 2023, New York, USA.
Al-Sakib Khan Pathan, Ph.D., SMIEEE
Editor-in-Chief: International Journal of Computers and Applications, Taylor & Francis, UK
Editor-in-Chief: Journal of Cyber Security Technology, Taylor & Francis, UK
Associate Editor: Connection Science, Taylor & Francis, UK ; IJCSE, Inderscience
Editor: AHSWN, Old City Publishing, USA ; IJSNet, Inderscience ; MJCS
All My Books: https://sites.google.com/site/spathansite/books
Professor, Department of Computer Science and Engineering
United International University (UIU), Dhaka, Bangladesh
Email: firstname.lastname@example.org , email@example.com