Multi-stage Counter Tables for Memory Optimization
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Solution Overview
Problem
Counter tables in computer systems become increasingly unwieldy and memory-intensive as systems become more complex, leading to inefficient memory allocation and increased costs, power usage, and size constraints, especially in integrated devices where memory space is limited.
Innovation Solution
Implementing a dynamic memory allocation system for counter tables using a pool of lower-level and upper-level counters, where lower-level counters can be dynamically enlarged by referencing upper-level counters, allowing for a more efficient use of memory by accommodating a wider range of values as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If counter tables are enlarged to accommodate more complex computer systems, then the ability to collect statistics and route network traffic is improved, but memory usage and device size increase
Solution Approach 1:
The counter table is divided into multiple stages, with each stage containing a subset of counters. This segmentation allows the system to process and count events in a distributed manner across multiple memory locations, reducing the need for a single large counter table and improving memory utilization efficiency.
Solution Approach 2:
The patent introduces a multi-dimensional counter table structure with multiple stages and multiple counters per stage. This dimensional expansion allows the system to track events more efficiently by distributing counters across different stages, thereby reducing overall memory requirements while maintaining enhanced functionality.
2Productivity
If counter tables are enlarged to handle more events, then event counting capability is improved, but device complexity increases
Solution Approach 1:
The counter table is segmented into multiple stages, with each stage handling a portion of the event counting workload. This segmentation distributes the complexity across manageable units while collectively providing enhanced event counting capability.
Solution Approach 2:
The multi-stage counter table structure enables dynamic event distribution across different stages. Events can be routed to appropriate stages based on their characteristics, allowing the system to adaptively handle varying event loads without requiring a monolithic complex structure.
3Quantity of substance
If more memory is allocated to counter tables, then storage capacity is improved, but power consumption increases
Solution Approach 1:
Each stage of the counter table is designed with localized counting functionality, allowing only the necessary memory resources to be activated for specific counting tasks. This local quality approach reduces overall power consumption by avoiding the continuous operation of entire large memory structures.
Solution Approach 2:
The segmented multi-stage structure allows the system to activate only the memory stages needed for current operations, reducing power consumption compared to a single large counter table that would require full memory allocation and continuous operation.
Data Source
AI summary
Disclosed herein are methods and apparatuses related to the use of counter tables. A counter table can comprise a plurality of lower-level counters and an upper-level counter. A range of values capable of being represented by a lower-level counter from the plurality of lower-level counters can be enlarged by associating the lower-level counter with the upper-level counter. A counter table can be associated with a network device.