Edge computing - Edge Security Acceleration - Alibaba Cloud Documentation Center

Edge Security Acceleration (ESA) provides an efficient, flexible, and low-latency edge computing solution by using Edge Routine, Edge Container, and Edge KV.

Introduction

You can build an efficient, flexible, and low-latency edge computing architecture to meet business requirements of different scales and complexities.

Edge Routine is suitable for event-driven business that requires small computing power and simple logic.
Edge Container is suitable for business that requires complex logic, high-performance and high- throughput computing.
Edge KV provides data storage support for edge computing to ensure fast access and persistence of data.

Synergy

Data processing: Edge Routine and Edge Container can work together to process data. Edge Routine is suitable for lightweight and event-driven tasks, while Edge Container for tasks that require more resources and complex logic.
Data storage: Edge KV provides data storage support for Edge Container and Edge KV. Edge Routine and Edge Container can store intermediate results or persistent data in Edge KV to improve data access speed and reduce network latency.
Data synchronization: Edge KV can synchronize data with the cloud or other Points of Presence (POPs) to ensure data consistency and reliability.

How it works

The edge computing combination provides a comprehensive edge computing architecture. The following is the working principle of each component.

Service	Benefits
Edge Routine	Serverless computing: Edge Routine is a serverless computing service that allows you to run code snippets (routines) on POPs without managing the underlying infrastructure. Event-driven: Routines can be triggered by various events, such as HTTP requests, scheduled tasks, or data flows from IoT devices. Automatic scaling: Computing resources are automatically scaled based on requirements to ensure high availability and elasticity.
Edge Container	Containerized deployment: Edge Container provides a flexible and powerful computing environment that allows you to deploy and run containerized applications on POPs. Resource isolation: Each container has an independent runtime environment to ensure application isolation and security. Auto scaling: Automatically adjusts the container quantity based on the load to ensure application stability and performance.
Edge KV	Local storage: Edge KV provides a local storage solution for POPs to support fast data read, write, and access. Data synchronization: synchronizes data with the cloud or other POPs to ensure data consistency and reliability. Persistence storage: supports temporary data storage and persistent data storage to meet the requirements of different scenarios.

Scenario

Internet of Things (IoT):
- Real-time monitoring: Edge Routine and Edge Container process data from sensors to monitor device status in real time.
- Data preprocessing: Preprocessing sensor data on POPs can reduce the amount of data uploaded to the central cloud.
Video stream processing:
- Real-time transcoding: Using the powerful computing capabilities of Edge Containers to transcode and process videos in real time.
- Content delivery: You can use Edge KV to cache video content to reduce latency and improve user experience.
Big data analytics:
- Real-time analysis: Performing real-time data analysis on POPs to generate instant reports and insights.
- Batch processing: You can use Edge Container to process large-scale datasets and perform complex batch processing tasks.
Machine Learning and Artificial Intelligence:
- Model inference: Running Machine Learning Platform for AI models on POPs to implement fast model inference and prediction.
- Data preprocessing: Preprocessesing data on POPs to prepare data for model training.
Retail and Logistics:
- Inventory management: You can use Edge Routine and Edge Container to process inventory data in real time and optimize inventory management.
- Supply chain monitoring: Processing supply chain data at POPs to monitor and optimize logistics processes in real time.