The integration of mobile computing, edge, and cloud services enables new applications that provide resources and services on an intelligent basis, process big data collected from mobile sensors, connected vehicles, and support the Internet of things (IoT) with massive edge and cloud-based backend. 5G technology will be a key enabler of this integration. Such mobile applications will have tremendous impacts on many aspects of our life, including transportation/V2X, e-commerce, healthcare, smart homes and smart cities, social interaction, and many more.Mobile Cloud provides a platform for researchers from academia and industry to share their latest research ideas and results, experimental activities, and the emerging industry technologies on mobile cloud computing, services, and engineering. Papers will be judged based on originality, significance, clarity, relevance, and correctness.

Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.

Papers must be written in English. All papers must be prepared in the IEEE double column proceedings format. Please see the following link for details: http://www.ieee.org/conferences_events/conferences/publishing/templates.html.

Research papers are limited to 8 pages, survey papers are limited to 10 pages, and experience/industry papers are limited to 6 pages. Authors must submit their papers at the Easychair platform.

All accepted papers will be published by IEEE Computer Society Press (EI‐Index) and included in IEEE Digital Library. For publication, at least one author is required to register at the full rate and present the paper at the conference for the paper to be included in the final technical program and the IEEE Digital Library. Selected papers will be invited for extension and published in journals (SCI-Index).

Topics of interest (include bot 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
Applications and Industry Practice

Mobile clouds for V2X, intelligent transportation systems (ITS), telematics
Mobile clouds for surveillance
Mobile clouds for drones, unmanned aerial vehicle (UAV)
Mobile clouds for augmented reality
Mobile clouds for sensor networks, IoT and Industrial IoT
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 for metaverse
Mobile clouds to address COVID-19 challenges