Overview

Features

Closest Access Points
Edge Computing Machine resources are strategically deployed in edge data centers (IDCs) near users to offer low-latency, high-bandwidth cloud computing and networking services. This approach enhances the user experience for latency-sensitive applications.

Cloud-Edge Collaboration

High Security and Reliability
Edge Computing Machine instances operate within logically isolated Virtual Private Clouds (VPCs) to ensure the security of your cloud resources. Additionally, they are safeguarded by both basic and advanced protection services, such as Anti-DDoS Basic, Cloud Workload Protection Platform (CWPP), trojan detection, brute force attack protection, and vulnerability scanning.

Efficient Operating
Edge Computing Machine includes a comprehensive console and APIs that allow you to manage and configure edge modules and instances according to your operational requirements. Additionally, it offers complimentary cloud monitoring capabilities to collect various performance metrics.

Elasticity and Flexibility

Cost Effectiveness
Architecture
Real-Time Communication
Cloud Gaming
Edge AI

Edge Computing Machine deploys audio and video processing capabilities on edge nodes to significantly enhance upstream quality in user network connections. In applications like live video streaming, it utilizes local transcoding and delivery to minimize network latency and central bandwidth costs, thereby effectively improving the user experience.

Edge Computing Machine deploys cloud gaming servers at edge nodes, significantly enhancing the gaming experience by reducing response latency to player actions and improving image resolution and smoothness.

In standard cloud-edge collaboration scenarios, cloud services utilize historical data for model training and deploy standard models to edge nodes. Real-time data does not need to be sent to the central node for processing. Instead, edge nodes can swiftly analyze the data, assess failure rates, and trigger alarms preemptively using various models.