The convergence of cloud and edge computing has enabled real-time data processing and enhanced scalability, revolutionizing industries through intelligent applications. Cloud-native edge computing is now unlocking new possibilities by addressing limitations in traditional edge infrastructures. By adopting containerization, microservices, and orchestration, cloud-native edge computing enhances agility, scalability, and data privacy.
For a comprehensive exploration, refer to the full paper, “From Cloud to Edge: Empowering Intelligent Applications with Cloud-Native Technologies” by Ramakrishna Manchana, published in the International Journal of Science, Engineering and Technology (IJSET).
Key Architectural Approaches for Cloud-Native Edge Computing
- Third-Party Edge Infrastructure: Extends cloud capabilities via external providers for low-latency services.
- Hybrid Edge Environments: Combines on-premises and cloud resources for optimized resource utilization.
- Far Edge Deployments: Targets remote areas, enabling local processing with limited connectivity.
- Mobile Edge Computing (MEC): Provides compute and storage at the mobile network edge for enhanced mobile user experiences.
- Micro Data Centers: Localized centers providing low-latency compute and storage close to users.
- Software-Defined Edge: Leverages SDN and NFV for a flexible edge infrastructure managed by cloud-native tools.
Benefits of Cloud-Native Edge Computing
- Scalability and Elasticity: Adapts to varying workloads, optimizing resource utilization.
- Portability and Flexibility: Containerized applications simplify deployment across diverse environments.
- Agility and Faster Time-to-Market: CI/CD pipelines facilitate rapid development and deployment.
- Improved Resource Utilization: Efficiently shares resources among multiple applications, maximizing infrastructure investments.
- Seamless Integration: Integrates cloud and edge resources for a range of intelligent applications, from video analytics to real-time monitoring.
Industry Use Cases
- Retail: Real-time inventory management and personalized customer experiences.
- Manufacturing: Predictive maintenance and quality control for optimized production.
- Healthcare: Remote patient monitoring and telemedicine.
- Smart Cities: Traffic management, environmental monitoring, and public safety.
- Autonomous Vehicles: Real-time sensor data processing for safe navigation.
More Details
The principles of cloud-native edge computing transform traditional edge infrastructures by enabling scalable, flexible, and manageable edge applications. Organizations can unlock the full potential of edge computing, delivering innovative solutions that enhance responsiveness and data privacy.
Citation
Manchana, Ramakrishna. (2024). From Cloud to Edge: Empowering Intelligent Applications with Cloud-Native Technologies. International Journal of Science Engineering and Technology. 12. 1-19. 10.61463/ijset.vol.12.issue4.223.
Full Paper
From Cloud to Edge: Empowering Intelligent Applications with Cloud-Native Technologies