SASE Flow Parsing and Data Center Routing for Timely Firewall Service
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Solution Overview
Problem
As the number of connected user devices to a SASE service increases, maintaining timely and reliable delivery of network services becomes challenging, necessitating improved cloud resource utilization and network performance optimization.
Innovation Solution
The system parses incoming network traffic in a SASE architecture, analyzing metadata to route traffic efficiently to local or remote firewall services, performing load balancing and redirecting traffic to underutilized data centers for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of connected user devices to SASE service increases, then service coverage and connectivity are improved, but network performance and service delivery timeliness deteriorate
Solution Approach 1:
The patent segments network traffic into multiple flows and distributes them across multiple data centers rather than processing all traffic through a single centralized system. This segmentation allows the SASE service to handle increased numbers of connected devices while maintaining service delivery timeliness by parallelizing processing across distributed infrastructure.
Solution Approach 2:
The patent introduces a new dimension of spatial distribution by deploying SASE services across multiple geographic data centers. This dimensional expansion from single-location to multi-location architecture enables the system to scale service coverage to accommodate more connected devices while maintaining performance through geographic distribution and local processing.
2Stability of the object's composition
If network traffic is processed through centralized cloud services, then service consistency is improved, but cloud resource utilization and network efficiency deteriorate
Solution Approach 1:
The patent implements local quality by enabling each data center to independently process and service network traffic locally rather than funneling all traffic through a centralized cloud service. This local processing improves cloud resource utilization and network efficiency while service consistency is maintained through standardized protocols and coordinated management across the distributed data center network.
Data Source
AI summary
The present disclosure is directed to network traffic management and load balancing at a cloud-based secure access service accessible to remotely connected user devices. In one example, a cloud-based secure service system includes a network controller configured to receive network traffic from one or more user devices remotely connected to the controller; parse the network traffic into flow data and contextual information associated with the network traffic; determine that the network traffic is to be serviced by a target firewall service at the cloud-based secure service system based on the flow data and the contextual information; and direct the network traffic to the target firewall service to be serviced.


