Conference Information

FiCloud 2027: International Conference on Future Internet of Things and Cloud

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Submission Date:
2027-03-10 Due in 164 days
Notification Date:
2027-05-25
Conference Date:
2027-08-16
Location:
Prague, Czech Republic
Years:
Viewed: 28382   Tracked: 4   Attend: 0

Conference Partner Index (CP-I)

53.1 / 100
Ranked #1,051 of 5,687 conferences · Top 19%

#151 of 864 in Networks & Communications

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
73
Community attention (10%)
28
Public record completeness (15%)
55

Inputs used: Editions on record: 14 · Researchers following it here: 4 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-26

Call For Papers

FiCloud 2027 (International Conference on Future Internet of Things and Cloud) is an academic conference held in Prague, Czech Republic on 2027-08-16. The paper submission deadline is 2027-03-10. Acceptance notifications are sent on 2027-05-25.

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): Track: 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. Track: 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. Track: Big Data, 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. Track: Software Systems 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, Context-awareness in cloud and IoT. Track: Distributed Systems and Networks Distributed systems, Parallel Programming, Blockchain, Transmission protocols; Models and algorithms; Communication protocols for datacentres; Software defined networks; P2P and overlay networks. Track: 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. Track: Energy Efficiency and Sustainable Computing Energy efficient services; Sustainable computing, Energy efficient resource utlization; Data storage and processing; Energy-efficient networking; Energy metrics and benchmarks; Energy-efficient hardware. Track: 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. Track: Industry Practical applications of cloud/IoT; Industry case studies; Cloud/IoT and Industry 4.0.
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