Parallel Packet Processing Engine for Scalable Data Center Networks
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Solution Overview
Problem
Current packet processing systems in data centers and cloud systems face bottlenecks due to their inability to efficiently process multiple packets in a single clock cycle without increasing CPU frequency, which is unsustainable as network bandwidth doubles, leading to performance bottlenecks and resource management challenges.
Innovation Solution
A system and method that enable the processing of two or more packets in a single clock cycle without scaling the CPU frequency, utilizing a processing engine that can parse and route packets within a data stream, allowing for scalable packet processing across varying Ethernet data paths, from 400 G to 1.6 TB, by splitting, checking, and merging packets while managing metadata and flow control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If CPU frequency is increased to process more packets, then packet processing speed is improved, but power consumption and system complexity increase
Solution Approach 1:
The system segments packet processing into multiple parallel lanes, where each lane processes a portion of the packet stream. This allows the CPU to process multiple packets simultaneously at a lower frequency by dividing the workload across segmented processing paths, thereby maintaining packet processing speed without increasing overall CPU power consumption.
Solution Approach 2:
The patent introduces a spatial dimension to packet processing by implementing parallel processing lanes that operate concurrently. Instead of increasing temporal processing speed through higher CPU frequency, the system adds processing capacity across multiple parallel dimensions, allowing simultaneous packet handling without frequency scaling.
2Productivity
If CPU frequency is scaled to handle doubled network bandwidth, then packet processing capability is improved, but device complexity and resource management difficulty increase
Solution Approach 1:
The system divides the packet processing function into multiple independent processing lanes, each handling a specific segment of the packet stream. This segmentation allows the system to scale processing capability by adding parallel lanes rather than increasing CPU frequency, thereby improving productivity while maintaining manageable system complexity through modular, independent processing units.
Solution Approach 2:
The processing lanes are designed to be universal and multi-functional, capable of handling different packet types and protocols through configurable processing rules. This universality allows the same hardware infrastructure to handle varying network bandwidths and traffic patterns without requiring complex specialized processing units for each scenario.
3Ease of operation
If single-packet processing is used, then processing simplicity is maintained, but packet processing throughput is limited
Solution Approach 1:
The system segments the packet stream into multiple parallel lanes, where each lane independently processes packets using simple, straightforward logic. This segmentation maintains processing simplicity within each lane while achieving high throughput through the combined output of multiple lanes processing packets simultaneously.
4Productivity
If parallel packet processing is implemented, then packet processing throughput is improved, but timing synchronization complexity increases
Solution Approach 1:
The system segments the packet stream into parallel lanes with clearly defined boundaries and independent processing paths. Each lane processes packets autonomously without requiring complex inter-lane synchronization, thereby achieving high throughput while minimizing timing synchronization complexity through spatial separation of processing tasks.
Data Source
AI summary
Particular embodiments described herein provide for an electronic device that includes at least one processor operating at eight hundred (800) megahertz and can be configured to receive a data stream, parse packets in the data stream, and process at least two (2) full packets from the data stream in a single clock cycle. In an example, the data stream is at least a two hundred (200) gigabit Ethernet data stream and a bus width is at least thirty-two (32) bytes.