Cache Address Filtering to Prevent Cache Pollution

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Solution Overview

Problem

Traditional cache implementations waste space and increase power consumption by caching little-used data, leading to diminished performance.

Innovation Solution

Implementing a cache filter that determines cacheability of data requests using a filter data structure, such as a bloom filter, to prevent caching of non-cacheable data, thereby maintaining cache efficiency and reducing power consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional cache implementations cache all requested data, then cache availability increases, but cache space utilization deteriorates and power consumption increases

Engineering Contradiction:
Improvecache availabilityVSAvoidpower consumption
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The system performs preliminary action by proactively identifying and evicting cache entries that are unlikely to be requested again, before they occupy valuable cache space. The cache controller analyzes access patterns and preemptively removes cold data, preventing cache pollution before it occurs. This anticipatory approach maintains cache availability for useful data while reducing the need for continuous monitoring and management overhead.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The cache system performs self-service by automatically monitoring its own usage patterns and making intelligent eviction decisions without external intervention. The cache controller continuously analyzes which entries are rarely accessed and autonomously evicts them to make space for potentially useful data. This self-managing capability optimizes cache space utilization and reduces power consumption without requiring manual configuration or external control.

Inventive Principle:
Principle #25Self-service

2Reliability

If traditional cache implementations cache all requested data, then cache availability increases, but cache space utilization deteriorates

Engineering Contradiction:
Improvecache availabilityVSAvoidcache space utilization
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The system performs preliminary action by proactively identifying and evicting cache entries that are unlikely to be requested again, before they occupy valuable cache space. The cache controller analyzes access patterns and preemptively removes cold data, preventing cache pollution before it occurs. This anticipatory approach maintains cache availability for useful data while reducing the need for continuous monitoring and management overhead.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The cache system performs self-service by automatically monitoring its own usage patterns and making intelligent eviction decisions without external intervention. The cache controller continuously analyzes which entries are rarely accessed and autonomously evicts them to make space for potentially useful data. This self-managing capability optimizes cache space utilization and reduces power consumption without requiring manual configuration or external control.

Inventive Principle:
Principle #25Self-service

3Productivity

If cache eviction algorithms are applied, then cache efficiency improves, but system complexity increases

Engineering Contradiction:
Improvecache efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The cache system performs self-service by automatically monitoring its own usage patterns and making intelligent eviction decisions without external intervention. The cache controller continuously analyzes which entries are rarely accessed and autonomously evicts them to make space for potentially useful data. This self-managing capability optimizes cache space utilization and reduces power consumption without requiring manual configuration or external control.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements feedback by continuously monitoring cache access patterns and using this information to make real-time eviction decisions. The cache controller observes which entries are frequently accessed and which are rarely used, then adjusts its eviction strategy accordingly. This feedback loop enables the system to adapt to changing workloads dynamically, maintaining high cache efficiency without requiring complex manual tuning or external control mechanisms.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12505040B2Systems and methods for cache filtering
Publication Date: 2025.12.23 NOKIA SOLUTIONS & NETWORKS OY
  • US12505040B2 patent drawing
  • US12505040B2 patent drawing
  • US12505040B2 patent drawing

AI summary

A method for filtering addresses from a cache includes receiving, by a filter, a data request including an address specifying a memory location of the requested data, querying the filter to determine whether the address is cacheable or non-cacheable, and in response to determining the address is non-cacheable, preventing caching of the data and the address associated with the data. Other example methods, systems and non-transitory computer readable mediums for filtering addresses from a cache are also provided.