FMEC 2024
Cloud computing provides a large range of services and virtually unlimited available resources. New applications, such as virtual reality and smart building control, have emerged due to the large number of resources and services brought by cloud computing. However, delay-sensitive applications face the problem of large latency, especially when several smart devices and objects, such as smart cities or the Internet of Things, are getting involved in human life. Therefore, cloud computing cannot meet the requirements of low latency, location awareness, and mobility support.
To solve this problem, researchers have introduced a trusted and dependable solution through the Fog and Mobile Edge Computing (FMEC) to put the services and resources of the cloud closer to users, which facilitates the leveraging of available services and resources in the edge networks. By this, we are moving closer to the users from the core (cloud data centres) to the network's edge. FMEC's dependability is based on providing user-centric service. Fog and Mobile Edge Computing aims to run heavy real-time applications at the network edge directly using the billions of connected mobile devices.
Several features enable the Fog and the Mobile Edge Computing to be a perfect paradigm to the aforementioned purpose, which are the dense geographical deployment of servers, supporting mobility and the closeness to users. As in every new technology, some challenges face the vision of the Fog and Mobile Edge Computing: administrative policies and security concerns (i.e., secure data storage, secure computation, network security, data privacy, usage privacy, location privacy, etc).
FMEC 2024 conference aims to investigate the opportunities and requirements for Mobile Edge Computing dominance. In addition, it seeks novel contributions that help mitigating Mobile Edge Computing challenges.
That is, the objective of FMEC 2024 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).
Researchers are encouraged to submit original research contributions in all major areas, which include, but are not limited to the following topics:
- AI in Autonomous Urbanism
- Fog and Mobile Edge Computing in unmanned aerial vehicle communications and applications
- Fog and Mobile Edge Computing in mission-critical systems
- Intelligent Transportation Systems
- Edge-cloud computing architectures, frameworks and platforms
- Edge-cloud networking and communication
- Quality of Service (QoS) improvement techniques
- Network virtualization for Edge-to-cloud systems
- FMEC and IoT Data Communication Protocols
- Industrial Fog and Mobile Edge Computing Applications
- Mobile Cloud Computing Systems and Applications
- FMEC in Environmental Sustainability
- Trustworthy AI for Edge and Fog Computing
- Security and Privacy in Fog and Mobile Edge Computing
- Decentralized Data Management and Streaming Systems in FMEC
- Data storage, processing, and management at FMEC platform
- Federated learning and distributed machine learning in the fog and on the edge
- 5G and fog/edge computing
- Middleware and runtime systems for fog/edge infrastructures
- Energy-efficient fog/edge computing
- Edge/fog-to-cloud APIs and protocols
- Mobility, connectivity, heterogeneity support for edge/fog services
- Load balancing/scheduling in fog/edge computing
- Crowdsourcing and establishing trust on data sources
- Decision support systems for Edge-cloud computing
- AI-based or data-driven orchestration of workflows in Edge computing
- Automatic reasoning, scheduling and deployment of workflows and services in Edge computing
- Distributed management of Edge computing
- Mechanisms and data structures for the governance of Edge computing
- Interfaces, orchestration and optimization of the Networking-Computing continuum
- In-network computing for the edge-cloud continuum
- Novel programming models for Edge computing
- Dynamic Edge/Fog environments
- Automatic deployment and continuous dynamic composition of Edge services
- Semantic annotation of Edge/Fog services