Topics of Interest

Topics of Interest (include but are not limited to)

Theory, Modeling, and Methodologies

  • Mobile cloud computing models, architectures, infrastructures, and platforms
  • Mobile cloud computing theories, concepts, algorithms, and methodologies
  • Mobile cloud data management: models, big data, stream processing
  • Mobile cloud data centers: storage, caching, retrieval, migration, resilience, availability
  • Mobile cloud networking and protocols
  • Mobile cloud tools and middleware
  • Mobile cloud (computing) as a service
  • Quality of service (QoS): reliability, robustness, throughput, latency, recovery-time, and scalability
  • Mobile cloud security and privacy
  • Mobile cloud analytics
  • Mobile cloud optimization with artificial intelligence (AI), machine learning (ML), and deep learning (DL)
  • Mobile cloud services: model, discovery, provisioning, security, and marketplace
  • Mobile cloud for context/location-aware services
  • Mobile cloud for crowdsensing and crowdsourcing: models, platforms and applications
  • 5G/6G: mobile edge computing (MEC), function virtualization, mobile multimedia, load balancing
  • Mobile cloud with Edge, Fog, and Cloud computing¬†
  • High availability, security and reliability of mobile and cloud systems
  • Resiliency in computational capabilities spread across distributed, heterogeneous, and disaggregated mobile and cloud resources
  • Multi-agent intelligence with distributed learning, inference & multi-agent federation, and interactive machine learning across the network, including Cloud and mobile devices
  • Adaptive edge networks solutions that can maintain critical service support in the face of extreme disruption events.
  • Seamless (and secure) orchestration for heterogeneous mobile-edge-cloud systems

Applications and Industry Practice

  • Mobile clouds for autonomous system, V2X, intelligent transportation systems (ITS), telematics
  • Mobile clouds for intelligent surveillance systems
  • Mobile clouds for robotics, unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs)
  • Mobile clouds for Augmented Reality/Virtual Reality (AR/VR)
  • Mobile clouds for computer vision and video analytics
  • Mobile clouds for sensor networks, IoT and Industrial IoT
  • Mobile clouds for future 6G cellular, future versions of WiFi, satellite networks
  • Mobile clouds for aviation, airports, and railway
  • Mobile clouds for community services and social networking
  • Mobile clouds for health and disaster management
  • Mobile cloud computing for sustainable development
  • Mobile clouds for mission-critical systems
  • Mobile clouds for industrial 4.0
  • Mobile clouds to address COVID-19 challenges