The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing.

The conference comprises a set of carefully selected tracks that focus on the particular challenges regarding mobile Web and intelligent information systems. Topics of conference include (but not limited to):

Security, Privacy and Trust

IoT and cloud security; Privacy issues; Service Reliability in cloud and IoT; Accountability and audit; Authentication and authorization; Cryptography; Identity theft; Data loss or leakage; Trust management; Fraud Detection.

AI and Machine Learning

Application of AI in cloud and IoT; Intelligent data processing; Reinforcement learning; Generative models; Feature Extraction; Neural Networks; Supervised/Unsupervised Machine Learning; Anomaly Detection; Pattern Recognition.

Big Data in Cloud and IoT

Big data; NoSQL databases; Data mining; Data analytics; Storage architectures; Querying and Searching; Data quality; Data and Process Modeling; Tiny/small databases for IoT; Sensor data and stream analytics; Ontologies.

Networking & Communication

Transmission protocols; Models and algorithms; Communication protocols for datacentres; Software defined networks; Energy-efficient networks; Network security and privacy; P2P and overlay networks.

Performance Modelling & Evaluation

Performance modelling in cloud and IoT; Evaluation techniques; Performance monitoring; Scheduling and application workflows; Scalability in cloud and IoT; Fault monitoring; Capacity planning and elasticity.

Context-aware Systems

Context-awareness in cloud and IoT; Location-aware services; Self adaptive services; Context-aware models and protocols; Context-aware data models; Context-aware transactions management.

Software Models and Services

Software architectures; Programming models; Services provisioning and management; Requirements analysis and modelling; Service integration; SaaS, IaaS, PaaS; QoS in Cloud and IoT; SOA for Cloud and IoT.

Energy Efficiency

Energy efficient service provisioning; Energy efficient resource utlization; Data storage and processing; Energy-efficient networking; Energy metrics and benchmarks; Energy-efficient hardware.

Fog and Edge Computing

Fog and edge computing models, Cloud at Edges; IoT and network edges; IoT data at network; Infrastructure for Fog/Edge; Middelware for Fog/Edge computing; Qos in Fog/Edge computing.

Industry Track

Practical applications of cloud/IoT; Industry case studies; Cloud/IoT and Industry 4.0.