The 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Ap

初稿截稿日期：2019-12-20

初稿录用通知日期：2020-02-28

终稿截稿日期：2020-04-10

CloudTech’20 will provide a high-level, international forum to present state-of-the-art research results, address new challenges, and discuss trends and opportunities related with all aspects and applications of Cloud Technology; Artificial Intelligence; Big data; High Performance Computing, Internet of Things.

The target public of CloudTech’20 includes all scientists, researchers, professionals, industry and government, particularly, researchers, policy-makers, engineers and students interested in all issues related to the topics above.

Next to the regular tracks we have some special sessions related to innovative applications with Artificial Intelligence, deep and machine learning, Blockchain and a demo-session for innovations achieved through prototyping and simulation.

Authors are invited to submit original and unpublished research papers. Submitted manuscripts will be limited to 8 (IEEE Proceedings style) pages and required to be formatted using theIEEE Proceedings template. Please follow the IEEE Computer Society Press Proceedings Author Guidelines to prepare your papers. At least one author of each accepted paper is required to attend the conference and present the paper. Submissions should include paper title, abstract, names of authors, their affiliations, and emails addresses.

The full papers should be submitted in PDF format to the CloudTech’20 EasyChair online submission website:

https://easychair.org/conferences/?conf=cloudtech20

If you can not upload paper or have other problems in using the EASYCHAIR system, you can choose to submit by sending email toCloudTech20@macc.ma(with the subject: CloudTech’20).

We invite the submission of original work that is related (but are not limited) to the topics below.
TOPICS OF INTERESTS
Track 1: Cloud Computing
· Intercloud architecture models
· Cloud services delivery models, campus integration and “last mile” issues
· Programming models, Scalability and Performance
· Cloud system design with FPGAs, GPUs or APUs
· Resource provisioning, monitoring, management & maintenance
· Green data centers
· Computational resources, storage and network virtualization
· Resilience, fault tolerance and disaster recovery
· Business processes, compliance and certification
· Fault-tolerance and availability of cloud services and applications
· Green computing models, simulations, designs, and paradigms
· Application development and debugging tools
· Business models and economics of cloud services
· Distributed Cloud Infrastructure
· Cloud federation and hybrid cloud infrastructure
· Edge and Fog Computing infrastructure
· Cloud-centric Mobile security
· Security, integrity and privacy for Cloud Computing
· Reliability, Fault Tolerance, Quality-of-Service
· Trust and policy management in the Cloud
· Secure, interoperable identity management
· Service Level Agreements and Performance Measurement
· Energy-aware resource allocation and scheduling mechanisms
· Green materials and devices designs
· Usage of renewable energy for green ICT operation
· Cross-layer optimization of green networking infrastructures
· Life-cycle analysis of computing equipment
· Energy harvesting, storage, and recycling
· Climate and ecosystem monitoring

Track 2: Artificial Intelligence
· Computational and Artificial Intelligence
· Agent-based systems
· Ant colony optimization
· Artificial immune systems
· Artificial Intelligence in modelling, simulation, scheduling and optimization
· Bioinformatics and computational biology
· Brain-machine interfaces
· Cognitive systems and applications
· Collective intelligence
· Differential Evolution
· Evolutionary data mining, design and scheduling
· Evolutionary Expert systems
· Fuzzy control and intelligent systems
· Fuzzy systems for robotics
· Game theory
· Intelligent database systems
· Knowledge engineering
· Machine learning
· Mining Data, Text, and the Web
· Molecular and quantum computing
· Multi-agent systems
· Natural language processing
· Neural Network Theory and Architectures
· Particle swarm optimization
· Robotics and related fields
· Rough sets and rough data analysis
· Speech understanding
· Supervised and Unsupervised Learning
· Type-2 fuzzy logic
· Web intelligence
· Human–computer interaction

Track 3: Big Data
· Foundational Models for Big Data
· Algorithms and Programming Techniques for Big Data Processing
· Big Data Analytics and Metrics
· Cloud Computing Techniques for Big Data
· Big Data as a Service
· Big Data in Mobile and Pervasive Computing
· Big Data Persistence and Preservation
· Big Data Quality and Provenance Control
· Big Data Storage and Retrieval
· MapReduce for big data processing
· Distributed, and Peer-to-peer Search
· Machine learning based on Big Data
· Visualization Analytics for Big Data
· Big Data for Improving Resilient Infrastructures
· Big Data Applications such as Healthcare and Transportation
· Big Data for Enterprise, Government, and Society
· Big Data for Science and Engineering Research
· Big Data System Security and Integrity
· Privacy Preserving Big Data Analytics
· Usable Security and Privacy for Big Data

Track 4: High Performance Computing
· Modeling, Simulation and Evaluation Techniques of HPC Systems
· Partitioning, Mapping and Scheduling algorithms
· Network Flow and Congestion
· Message Passing
· Load Balancing and Sharing for HPC
· Mutual Exclusion, Deadlock Detection
· Reliable Parallel, and Distributed Algorithms
· Network and Systems Protocols
· HPC Security, Authentication, Access Control
· Fault Tolerance and Resilience in HPC Systems
· Cluster and Grid Computing
· Distributed Shared Memory
· Scalable Computing
· Peer-to-Peer Architectures and Networks
· Ubiquitous & Pervasive Computing
· Multi-Core Architectures and Support
· Instruction-, Thread- and Memory-Level Parallelism
· Embedded and Application-Specific Architectures
· Reconfigurable Computing & FPGA Based Architectures
· Energy/Power Aware HPC Architectures and Green Computing
· Sensors, Broadband and High Performance Networks
· Brokering Middleware
· Web Ontologies and Semantics
· Open CL Platforms and Developments
· Operating Systems and Support
· Virtualization and Virtual Machines
· Libraries and Programming Environments
· Distributed Objects and Remote Invocation
· Bioinformatics and Biocomputing
· Neural, Fuzzy, and Rough Sets in HPC
· Large Scale Systems for Computational Sciences
· Real-time and embedded P & D Applications
· Industrial and Manufacturing Applications
· Databases, Repositories and Their Applications
· Granular Computing and its Applications

Track 5: IoT and Mobile Computing
· IoT architectures and models
· IoT Edge and Cloud Architectures
· Web services and Web of Things
· IoT Communication Technologies
· Energy Efficiency and Sustainability in the IoT
· Sensing, Signal Processing, Actuation and Analytics
· Security, Privacy and Trust in the IoT
· Real-world Applications, Deployments and Testbeds
· Social Adoption of IoT Systems
· Next Generation Infrastructure for IOT
· Open Platforms for IOT
· IOT-based Smart City Solutions
· IOT-based Smart Education Systems
· Security, Privacy, and Trust in IOT
· IOT Standards and Application Scenarios
· IOT-based Enterprise Management
· IOT-based Business Process Management
· IOT-based Robots
· IOT-based Auto Driving
· IOT-based Intelligent Manufacturing
· Other IOT-based Vertical Industry Solutions
· Mobile architectures and models
· Green mobile computing
· Resource management in mobile environments
· Mobility-aware networking protocols
· Multimedia applications in mobile environments
· Mobile networks and applications