The 9th International Conference on Future Internet of Things and Cloud
FiCloud 2022
22-24 Aug 2022, Rome, Italy (and Online)

Call for Papers [Important Dates]

Cloud is a modern computing platform for delivering on-demand computing services to service consumers over the Internet. Computing services include, for example, storage, memory, compute power, databases, and networking among others. Cloud services are generally provided using SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Unlike conventional distributed computing, cloud offers flexibility, scalability, efficiency and elasticity in service provisioning.
The Internet of Things (IoT) vision is to provide a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on.
IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. 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.


Software Systems and Services
Cloud services: SaaS, IaaS, PaaS; Multi-tenant models; Quality of Services in Cloud and IoT; Business models for Cloud and IoT; Inter-cloud Software; SOA for Cloud and IoT.

Big Data in Cloud and IoT
Big data; NoSQL databases; Data mining; Data analytics; Storage architectures; Querying and Searching; Lifecycle of Big Data management; Data quality; Data and Process Modeling; Tiny/small databases for IoT; Sensor data and stream analytics; Knowledge management; Semantics and Ontologies.

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; Network security; Fraud Detection.

Context-aware Systems
Context-awareness in cloud and IoT; Location-aware services; Cloud-based context-aware IoT; Self adaptive services; Context-aware models and protocols; Application domains: transportation system, buildings, roads, water supply, environment, healthcare.

Software-defined Networking
Software-defined Networking (SDN) in Cloud and IoT; Network virtualization; Software defined data and storage; SDN models and architectures; QoS evaluation; SDN scalability and optimization; SDN security and privacy.

Performance Evaluation and Modelling
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.

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

IoT Services and Applications
Architectures of IoT services; IoT application areas, IoT and M2M; Tools and technologies for IoT services; Business models for IoT applications; Energy optimization in IoT; Modeling and simulation of IoT applications;

Cloud Models and Architectures
Software architecture for IoT and cloud; Inter-cloud software; Programming models; Services provisioning and management; Hybrid cloud infrastructure; Use cases and Experiences; Requirements analysis and modelling; Service integration; Middleware for cloud and IoT.

Cloud, Edge, IoT Continuum
Cloud federation, Architectures and models; Virtualization of cloud resources; Network virtualization; Cloud virtualization and IoT; Performance of virtualization; Reliability and security; Inter cloud and multi-cloud; Federation of IoT systems.

Fog and Edge Computing
Fog and edge comptuting models, Cloud at Edges; Distribution and processing of data; IoT applications and network edges; Processing of IoT data at network edges; Infrastructure for Fog/Edge computing; Middelware for Fog/Edge computing; Qos in Fog/Edge computing.

General: Future IoT and Cloud
This track invites papers that fit the general theme of the Internet of Things and cloud computing.


All papers accepted for this conference are to be published in the conference proceedings by the Conference Publishing Service (CPS). The proceedings of the conference will be submitted to Xplore and CSDL.

Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see Journal Special Issues section).


Submission Deadline [Firm] 29 Apr 2022
Authors Notification 20 May 2022
Final Manuscript Due [Extended] 28 July 2022