A novel Edge-Cloud framework

Data Week 2023 is the spring gathering of the European Big Data and Data Driven AI research and innovation communities. In Data Week, the participants share knowledge and results, discuss topics of common interest, find synergies, build new collaborations and identify new challenges and recommendations. Data Week also links the communities and their results to the European policies and market needs and brings European initiatives and activities closer to local communities.
Data Week 2023 is co-organised by Big Data Value Association and the EUHubs4Data project in collaboration with the Research Institutes of Sweden (RISE). The main event of the Data Week 2023 will take place in Luleå, Sweden between 13 – 15 June 2023 with the central theme “Data Meets Infrastructure at the Edge!”
Course Material:QoS and SLA Management in Edge-Cloud
Course Material: Energy Efficiency in Edge-Cloud
Course Material: Load Balancing and Task Scheduling
Course Material: Resource Allocation Optimization
Course Material: Security and Privacy Concerns in Edge-Cloud Resource Management
Course Material: Latency and Bandwidth Considerations in Edge-Cloud
Course Material: Characteristics and Challenges of IoT Applications
Course Material: Edge-Cloud Resource Allocation Strategies
Course Material: Scalability and Elasticity in Edge-Cloud Resource Orchestration
Course Material: Dynamic Resource Management in Edge-Cloud
Course Material: Resource Constraints and Challenges in Edge-Cloud
Course Material: Overview of IoT Applications in Edge-Cloud
Course Material: Introduction to Edge-Cloud Computing
Course Material Slides: Handling intermittent network connectivity
Course Material: Success stories of organizations using Kubernetes
Course Material: Common use cases for Kubernetes
Course Material: Feature comparison Kubernetes vs Amazon ECS
Course Material: Feature comparison Kubernetes vs Apache Mesos
Course Material:Feature comparison Kubernetes vs Docker Swarm
Course Material: Overview of other container orchestration tools
Course Material: Kubernetes workflow
Course Material: Architecture of Kubernetes
Course Material: Components of Kubernetes
Course Material: Introduction to Kubernetes
Course Material: Challenges in managing containerized applications
Course Material: Benefits of container orchestration
Course Material: Introduction to container orchestration
Course Material: Overview of containerization
Course Material Slides: Implementing access control and authentication mechanisms.
Course Material Slides: Protecting edge devices and data
Course Material Slides: Securing communication between microservices and edge nodes
Course Material Slides: Implementing fault tolerance mechanisms
Course Material Slides: Managing microservice deployment and scaling at the edge
Course Material Slides: Partitioning microservices across edge nodes
Course Material Slides: Selecting appropriate edge computing platforms
Course Material: Optimizing microservice communication for edge deployment
Course Material Slides: Decomposing monolithic applications into microservices
Course Material Slides: Benefits and challenges of deploying microservices at the edge
Course Material Slides- Understanding Microserives Architecture