Cloud Gateway WAN Optimization for Redundant Data Streams
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Solution Overview
Problem
Modern enterprise applications spanning large geographical distances face significant cost and performance penalties due to data duplication and synchronization over multiple cloud regions, with existing solutions being inflexible, slow, and expensive.
Innovation Solution
Implementing a WAN optimization method using gateway routers that aggregate and compress data streams, employing traffic redundancy elimination and fully homomorphic encryption to reduce redundant data transmission, while maintaining privacy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If data is moved to a central data-warehouse or data-lakes and compute is allocated at the same place, then data centralization is achieved, but data duplication and synchronization overhead increase
Solution Approach 1:
The patent merges multiple data streams from different sources into a single optimized stream by combining redundant data portions and eliminating duplicates, thereby achieving data centralization without proportionate increases in duplication overhead
Solution Approach 2:
The patent extracts and eliminates redundant data segments from aggregated streams, removing only the necessary duplicate portions while preserving unique data content, thus reducing data duplication loss
2Ease of operation
If multiple data streams are sent individually from multiple routers to the centralized datacenter, then data transmission is simple, but bandwidth usage increases and transmission speed decreases
Solution Approach 1:
The patent combines multiple individual data streams into a single aggregated stream at the gateway router, maintaining operational simplicity while significantly improving bandwidth utilization and transmission speed to the centralized datacenter
Solution Approach 2:
The patent segments the aggregated data stream into optimized portions for transmission, enabling efficient bandwidth utilization and faster transmission compared to sending multiple unoptimized individual streams
3Loss of energy
If data streams are aggregated and optimized at the gateway router, then bandwidth usage is reduced, but the complexity of the gateway router increases
Solution Approach 1:
The gateway router acts as an intermediary that performs aggregation and optimization functions, reducing overall bandwidth consumption in the WAN while concentrating complexity at a single strategic point rather than distributing it across multiple devices
Solution Approach 2:
The gateway router is designed to perform multiple functions including stream aggregation, redundancy elimination, and optimization, thereby reducing bandwidth usage while consolidating complexity into a single multi-functional device
4Productivity
If encrypted data streams are decrypted for optimization, then optimization operations can be performed, but security and privacy are compromised
Solution Approach 1:
The patent replaces the traditional mechanical approach of decrypting data for optimization with a cryptographic approach using homomorphic encryption, allowing optimization operations to be performed on encrypted data without compromising security or privacy
Data Source
AI summary
Some embodiments of the invention provide a method for WAN (wide area network) optimization for a WAN that connects multiple sites, each of which has at least one router. At a gateway router deployed to a public cloud, the method receives from at least two routers at least two sites, multiple data streams destined for a particular centralized datacenter. The method performs a WAN optimization operation to aggregate the multiple streams into one outbound stream that is WAN optimized for forwarding to the particular centralized datacenter. The method then forwards the WAN-optimized data stream to the particular centralized datacenter.