Due to the fast development of the cloud computing and the computer science technology, the researchers are more attracted to combine the Internet of Things (IoT) and the Cloud Computing. The Internet of Things (IoT) paradigm is based on intelligent and self-configuring nodes (things) interconnected in a dynamic and global network infrastructure. It is considered as one of the most disruptive technologies which make the ubiquitous and pervasive computing scene. Internet of things refers to the real world and to little things limited storage and processing ability. It also refers to the main problems concerning reliability, performance, security and privacy. In the other hand, cloud computing has the almost unlimited capacities of storage and processing power which is a more mature technology that may solve the problems of most of the Internet of things technologies.
The third edition of the international conference on Internet of things Data and Cloud Computing (ICC’21) represents an ideal opportunity for the students and the researchers from both industrial and academic domains having as main objective to present their latest ideas and research results in the IoT and Cloud Computing. The ICC’21 international conference will take place in Cambridge City, United Kingdom, from 28-29 June 2021. Taking in consideration the COVID-19, conference authors can also participate using the virtual conference platform which will be available online during the conference dates.
Indeed, the previous ICC editions have been hosted at the Churchill College, University of Cambridge, and the proceedings were published and indexed by prestigious and well known science index (ICC’16, ICC’17).
Internet of things, Data and Cloud Computing (ICC21)The topics of interest include but no limited to the following:
- Architecture for Secure and Interactive IoT
- Authentication & authorization Cryptography in the Cloud
- Big Data Applications
- Big Data Infrastructure
- Bzg Data Search and Mining
- Big Data Security, Privacy and Trust
- Business models and economics of cloud services
- Cloud Brokering Problem
- Cloud federation and hybrid cloud infrastructure
- Cloud integrity
- Cloud security
- Cloud services
- Cloud system design with FPGAs, GPUs or APUs
- Cloud/Grid/Stream Computing for Big Data
- Cloud-delivered security services
- Cloudlets
- Cloud-powered services design
- Computational resources, storage and network virtualization
- Data and Information Quality for Big Data
- Data Fusion & Ιντεγριτψ
- Data management applications and services
- Data Mining
- Data Modeling and Visualization
- Data Privacy and Security
- Data Virtualization
- Deep Learning and Big Data
- Distributed Cloud Infrastructure
- Edge Computing infrastructure
- Energy Efficiency and Sustainability in the IoT
- Energy, cost, efficiency of security in the Cloud
- Energy-aware computing and communications
- Evolutionary Computing and Optimization
- Fault-tolerance and availability of cloud services and applications
- Fog Computing Systems
- Fuzzy Computing
- Granular Computing
- Green computing models, simulations, designs, and paradigms
- Green data centers
- Green materials and devices design
- Green mobile computing
- Incident Response in the Cloud
- Industry 4.0
- Information sharing and data protection in the Cloud
- In-Network Data Processing
- Intelligent Infrastructure and Guidance Systems for Vehicles, Green Systems and Smart City
- Interacting with the IoT
- Intercloud architecture models
- IoT architectures and models
- IoT Communication Technologies
- IoT Edge and Cloud Architectures
- IOT Standards and Application Scenarios
- IOT-based Auto Driving
- IOT-based Business Process Management
- IOT-based Enterprise Management
- IOT-based Intelligent Manufacturing
- IOT-based Robots
- IOT-based Smart City Solutions
- IOT-based Smart Education Systems
- IOT-based Smart Home
- Legal issues in the Cloud
- Linked Data
- Machine Learning and Deep Learning Approaches Data Analytics
- Machine to Machine Communications
- Management of Sensor Data
- Mobile architectures and models
- Mobile Data Management
- Mobile Databases
- Mobile networks and applications
- Mobility-aware networking protocols
- Modeling and Managing Large Data Systems
- Multimedia applications in mobile environments
- Networking and Communication Protocols
- Networking technologies
- Neural Network Applications
- New Computational Models for Big Data
- New Data Standards
- Next Generation Infrastructure for IOT
- Open Platforms for IOT
- Other IOT-based Vertical Industry Solutions
- Prevention of data loss or leakage
- Privacy protection in Cloud platforms
- Programming models & systems or tools
- Real Time Cloud
- Resource monitoring
- Scalability and performance
- Security for emerging cloud programming models
- Security, Privacy, and Trust in IOT
- Semantic Web Technologies for Data Management
- Sensing, Signal Processing, Actuation and Analytics
- Sensor Networks, Remote Diagnosis and Development
- Sensors
- Smart Cities and Urban Data Analytics
- Social Adoption of IoT Systems
- Social Implications for IoT Intelligent
- Software Engineering for IoT and IoE
- Support Vector Machines
- Systems for IoT and Services Computing
- Technological Focus for Smart Environments
- Transparency in Research Data
- Transport Safety and Mobility
- Usage of renewable energy for green ICT operation
- Vehicle-to-Infrastructure
- Vehicle-to-Vehicle
- Virtual desktops
- Web services and Web of Things
- Zigbee