Hardware Statistics Management via Register Interface
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Solution Overview
Problem
High-speed input/output (I/O) systems face performance degradation due to resource-intensive operations when tracking statistics such as packet count and timestamps, and conventional solutions like customized memory circuits are expensive and difficult to scale.
Innovation Solution
A hardware-based statistics management method using a register interface and an array of statistic records stored in RAM, where updates are performed through a single write request, eliminating the need for read operations and conserving CPU resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional read-modify-write operations are used for statistic updates, then statistic tracking can be performed, but CPU resources are consumed and system performance degrades
Solution Approach 1:
The patent extracts the statistic update operation from the CPU's read-modify-write sequence and implements it as a single atomic write operation through a dedicated hardware interface. The register interface and update logic are pulled out from general CPU operations, allowing statistic updates to occur without consuming CPU cycles for reading or modifying data, thus resolving the contradiction between reliable tracking and system performance.
Solution Approach 2:
The patent introduces a register interface as an intermediary between the CPU and the statistic records in RAM. This intermediary layer handles the atomic update operations, including reading the current value, modifying it, and writing back the updated value, all within a single write operation from the CPU's perspective. This mediator eliminates the need for CPU to perform multiple read-modify-write cycles, resolving the performance degradation issue while maintaining accurate statistic tracking.
2Measurement precision
If multiple statistic records are updated separately, then each record can be updated accurately, but multiple read and write operations increase resource consumption
Solution Approach 1:
The patent merges multiple statistic record updates into a single atomic write operation. The register interface collects multiple data elements corresponding to different statistic records and performs all updates in one operation cycle. This combining approach maintains the precision of individual record updates while dramatically reducing CPU resource usage by eliminating multiple separate read-modify-write cycles.
Solution Approach 2:
The patent implements preliminary action by having the register interface prepare and buffer multiple data elements before executing the atomic update operation. The interface holds multiple statistic updates in ready state, then performs them all together in a single operation, preventing the need for multiple separate CPU interventions and reducing overall resource consumption while maintaining accuracy.
3Speed
If customized memory circuits are used for statistic management, then update speed can be improved, but manufacturing cost increases and scalability is reduced
Solution Approach 1:
The patent creates a universal register interface that can update any statistic record in the array without requiring specialized memory circuits. The same generic interface and update logic handle all statistic updates uniformly, whether for packet counts, byte counts, or other metrics. This multi-functional approach achieves fast update speeds through hardware acceleration while maintaining ease of manufacture and scalability, as the solution doesn't require custom-designed memory arrays for different statistic types.
Solution Approach 2:
The patent implements self-service by enabling the register interface to autonomously perform atomic update operations on statistic records without requiring complex customized memory circuits. The interface itself provides the intelligence needed for efficient updates, using simple RAM for storage and handling all the complexity of atomic operations, address generation, and data element processing. This self-sufficient approach eliminates the need for expensive custom memory while maintaining high update speeds.
Data Source
AI summary
Methods and systems for managing statistics in an I/O system are disclosed. Embodiments of the present technology may include a method for managing statistical data at an I/O system, the method including reading a statistic record from an array of statistic records according to a write request that is held in a register of a register interface. In some embodiments, the write request includes a data element. In some embodiments, the array of statistic records is stored in random access memory (RAM).


