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FiCloud 2021 : The 8th International Conference on Future Internet of Things and Cloud

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Link: http://www.ficloud.org/2021/
 
When Aug 23, 2021 - Aug 25, 2021
Where Rome, Italy
Submission Deadline Mar 10, 2021
Notification Due May 20, 2021
Final Version Due Jun 15, 2021
Categories    cloud computng   edge computing   fog computing   big data
 

Call For Papers

FiCloud: Call for Papers

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.

CONFERENCE TRACKS:

Cloud Services Models
Cloud models, SaaS, IaaS, PaaS, Multi-tenant models, QoS of cloud models, Architecture of cloud models, Cloud models for IoT services, Business models for SaaS, IaaS and PaaS, Inter-cloud and multi-cloud models.

Security, Privacy and Trust
IoT and cloud security; Privacy issues; Reliability of cloud and IoT; Accountability and audit; Authentication and authorization; Cryptography; Identity theft; Data loss or leakage; Trust management, Legal issues, Forensic in cloud.

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

Blockchain in Cloud and IoT
Cloud models; Multi-tenant models; Hybrid-architecture with off-chain and on-chain components; Blockchain security; Blockchain performance; Blockchain for IoT devices; Inter-cloud and multi-cloud models for Blockchain and/or IoT.

Data and Knowledge Management
Big data; Application of NoSQL databases; Data mining; Data analytics; Storage architectures; Indexing, Querying and Searching; Design, implementation, optimization of scientific workflows; Lifecycle of Big Data management; Data quality; Data and Process Modeling; Tiny/small databases for IoT devices; Sensor data and stream analytics; Knowledge management; Semantics and Ontologies; Managing scale and complexity in streaming data.

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; Context-aware services - transportation system, buildings, roads, water supply, environment, healthcare.

Software-defined Networking
Software-defined Networking (SDN) support for 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-tolerance and recovery; Capacity planning and elasticity

Networking and Communication Protocols
Transmission protocols and algorithms; Communication protocols for datacentres; Software defined network protocols; Case studies; Energy-efficient networks; Network security and privacy; P2P and overlay networks for IoT and cloud; Measurement and simulations.

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;

Smart Environment
Smart cloud and IoT; Smart homes and cities; Adaptive user interfaces for smart applications; Interconnection of smart devices (things); Dynamic urban communications; Indoor communications; Smart healthcare and assisted living; Smart transportation and vehicles; Smart phones apps and services

Machine learning in Cloud and IoT
Machine/Deep learning in cloud and IoT; Intelligent data processing; Reinforcement learning; Generative models; Feature Reduction; Feature Extraction; Neural Networks; Predictive Analysis; Supervised/Unsupervised Machine Learning; Grammar Induction; Computer Vision; Continuous Relearning; Fraud Detection; Anomaly Detection; Pattern Recognition.

Energy Efficiency
Energy efficient service provisioning; Energy efficient resource utlization; Data storage and processing; Energy-efficient networking; Smart devices and tools; Energy metrics and benchmarks; Energy-aware hardware.

Federation and Virtualization
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 the 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.

Industry Track
This track invites papers related to industrial applications of cloud and IoT.

General Track
This track invites papers that fit the general theme of the Internet of Things and cloud computing.

PUBLICATION:

All papers accepted for this conference will be published in the conference proceedings by the Conference Publishing Service (CPS). Conference content will be submitted for inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.

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).

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