Edge-Cloud Service Routing for Real-Time Data Isolation
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Solution Overview
Problem
The deployment of cloud applications in edge servers results in the wasteful repetition of component resources due to the discrete positions of clients, leading to inefficient resource utilization and potential interference between different business interactions.
Innovation Solution
A cloud processing system with a central cluster and edge servers that share services, utilizing two distinct communication channels for different types of data based on real-time requirements, allowing edge servers to invoke services from the central cluster independently, thus avoiding redundant deployments and enhancing resource utilization and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud applications are deployed in running containers of edge servers to support client operations, then client operation experience is improved, but component resources are wasted due to discrete positions of clients requiring multiple deployments of the same public service components
Solution Approach 1:
The patent merges multiple edge servers into a unified edge server cluster that shares common public service components. Instead of each edge server independently deploying its own set of public service components, the cluster consolidates these components into shared resources that serve multiple edge servers, thereby reducing resource waste while maintaining the ability to support clients at discrete locations.
Solution Approach 2:
The patent creates universal public service components that can be shared across multiple edge servers and serve multiple cloud applications. These components are designed with multi-functionality to handle various service requests from different edge servers and applications, replacing the need for dedicated components at each edge server location.
2Adaptability or versatility
If multiple public service components are deployed at each edge server to support complex cloud application businesses, then business functionality is complete, but resource utilization becomes inefficient due to redundant deployments
Solution Approach 1:
The patent combines the deployment model from distributed individual edge servers to a centralized edge server cluster architecture. Public service components are merged into shared resources within the cluster, allowing multiple edge servers to access and utilize the same components, thereby improving resource utilization efficiency while preserving complete business functionality through the cluster's collective capabilities.
Solution Approach 2:
Instead of physically deploying complete sets of public service components at each edge server, the patent uses virtualization and reference copying mechanisms where edge servers access shared component instances through the cluster infrastructure. This allows functional equivalence without physical redundancy, improving resource efficiency while maintaining adaptability.
3Device complexity
If different types of data are transmitted through the same communication channel, then system complexity is reduced, but data security and transmission reliability deteriorate due to potential interference between different business interactions
Solution Approach 1:
The patent segments the communication infrastructure into multiple isolated communication channels, each dedicated to specific data types or business interactions. This segmentation prevents interference between different data streams while maintaining manageable system complexity through standardized channel interfaces and routing mechanisms.
Solution Approach 2:
The patent applies different quality characteristics to different communication channels based on their specific requirements. Each channel is configured with appropriate security levels, transmission protocols, and isolation mechanisms suited to the type of data it carries, thereby enhancing overall system reliability without uniformly increasing complexity across all channels.
Data Source
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Figure 1c
Figure 2~3
AI summary
Embodiments of the present invention disclose a data processing method and system, a related device, a storage medium and a product. The method comprises: acquiring operation data of a target cloud application; when the operation data is a first type of data, sending the operation data to a center cluster through a first communication link between a target edge server and the center cluster, such that the center cluster responds to the first type of data by using a service matched with the first type of data, wherein the first communication link is a link meeting the real-time requirements of the first type of data; and when the operation data is a second type of data, sending the operation data to the center cluster through a second communication link, such that the center cluster responds to the second type of data by using a service matching the second type of data.