The International Conference on Intelligent Metaverse Technologies & Applications (iMeta) and the 8th IEEE International Conference on Fog and Mobile Edge Computing (FMEC) in Tartu

This year we – University of Tartu, Institute of Computer Science – have a pleasure to host FMEC2023, taking place in conjunction with iMETA, where iMETA, as you can assume, is associated with the metaverse (more precisely, the International Conference on Intelligent Metaverse Technologies & Applications), while FMEC – for the The Eighth IEEE International Conference on Fog and Mobile Edge Computing.

FMEC 2023 conference aims to investigate the opportunities and requirements for Mobile Edge Computing dominance, and seeks for novel contributions that help mitigating Mobile Edge Computing challenges. That is, the objective of FMEC 2023 is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Fog and Mobile Edge Computing (FMEC) covering one of its major areas, which include, but not limited to the following tracks:

  • Track 1: Fog and Mobile Edge Computing fuels Smart Mobility
  • Track 2: Edge-Cloud Continuum and Networking
  • Track 3: Industrial Fog and Mobile Edge Computing Applications
  • Track 4: Trustworthy AI for Edge and Fog Computing
  • Track 5: Security and privacy in Fog and Mobile Edge Computing
  • Track 6: Decentralized Data Management and Streaming Systems in FMEC
  • Track 7: FMEC General Track

iMETA conference, in turn, aims to provide attendees with comprehensive understanding of the communication, computing, and system requirements of the metaverse. Through keynote speeches, panel discussions, and presentations, attendees had the opportunity to engage with experts and learn about the latest developments and future trends in the field, covering areas such as:

  • AI
  • Security and Privacy
  • Networking and Communications
  • Systems and Computing
  • Multimedia and Computer Vision
  • Immersive Technologies and Services
  • Storage and Processing

As part of these conferences, I had the pleasure of chairing one of the sessions, where the room was carefully selected by the organizers to make me feel as I would be at home – we were located in the so-called Baltic rooms of VSpa conference center, i.e., Estonia, Lithuania, and Latvia, so guess which room the session took place in? Bingo, Latvia! All in all, 5 talks were delivered:

  • Federated Object Detection for Quality Inspection in Shared Production by Vinit Hegiste
  • Federated Bayesian Network Ensembles by Florian van Daalen
  • Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study by Mohammadreza Mohammadi
  • Towards Energy-Aware Federated Traffic Prediction for Cellular Networks by Vasileios Perifanis
  • RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs by Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan and Mojtaba Jafaritadi

Each of the above was followed by a very lively discussion, which continued also after the session. This, in turn, was followed by an insightful keynote delivered by Mérouane Debbah on “Immersive Media and Massive Twinning: Advancing Towards the Metaverse”.

Also, thanks to our colleagues from EEVR (Estonian VR and AR Association), I briefly went to my school times and chemistry lessons having a bit of fun – good point, I’ve always loved them (nerd and weirdo, I know…).

Thanks to the entire FMEC and iMETA organizing team!

CFP: 3rd International Workshop on Advanced Data Systems Management, Engineering, and Analytics (MegaData): where the Edge meets the Cloud

On behalf of the organizers, I sincerely invite you to consider submitting the results of your recent research to The Third International Workshop on Advanced Data Systems Management, Engineering, and Analytics (MegaData), which will be held in conjunction with the 23rd  IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID2023).

The MegaData objective is to bring together researchers, practitioners, system administrators, system programmers, and others interested in sharing and presenting their perspectives on the effective management of big data systems. The focus of the workshop is on a novel and practical, systems-oriented work, where MegaData, whose moto this year is “MegaData: where the Edge meets the Cloud”, offers an opportunity to showcase the latest advances in this area and discuss and identify future directions and challenges in management and engineering of big data systems.

MegaData covers the area of Big Data operations (management, engineering, and analytics) within Cloud and Edge computing models. It aims to report on the advances and trends in Big Data deployment architectures from both the infrastructure and application levels. Papers presenting recent results, research issues, practical applications, case studies, and industrial implementations are welcome.

Specific topics of interest include, but are not limited, to the following:

  • Resource management and scheduling mechanisms for data systems
  • Auto Scaling and elastic scaling approaches and mechanisms
  • Data governance and privacy of “data in motion” and “data at rest” over edge/cloud
  • Emerging Data deployment models in IoT, IoT-to-Cloud, Edge/fog
  • Federated Learning and edge intelligence for big data systems
  • Advances data storage models, including object stores and key-value stores
  • Techniques for data integrity, availability, reliability, and fault tolerance
  • Big Data workflows (data management, data wrangling, automated workflows)
  • Data pipeline (data lake to analytics, new data stream architectures, edge/fog, cloud enabled solutions)
  • High-performance Data Analytics applications
  • Adaptive offloading techniques among Fog, Edge, and Cloud Computing

Important dates

  • Submission open: December 1st, 2022
  • Paper submission Deadline: January 15th, 2023
  • Acceptance notification: February 10th, 2023
  • Camera-ready submission: March 17th, 2023
  • Conference Dates: May 1st, 2023

We invite original research papers that have not been previously published and are not currently under review for publication elsewhere. Submitted papers should be no longer than 8 pages (including references and appendices) in two-column IEEE template format. Papers need to be submitted through the EasyChair submission portal.

Best papers presented at the workshop will be selected, and the corresponding authors will be invited to submit an extended version of their papers for possible publications in: Special Issue on Emerging Topics in Big Data and Edge Intelligence on Springer Cluster Computing (IF 2.3)

Submit the paper and meet our team in Bangalore, India in May, 2023!

With best wishes,

MegaData organizers – Yaser Jararweh, Feras M. Awaysheh, Moath Jarrah, Anastasija Nikiforova, Sadi Alawadi