Cache Memory Storage with Dynamic Access Interval Control
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Solution Overview
Problem
Existing cache management techniques face inefficiencies in managing access intervals for content items, particularly in scenarios where requests for the same content are spread over time, leading to increased memory requirements and complexity, especially in video server environments and software updates across multiple devices.
Innovation Solution
Implementing flow control through differential bandwidth allocation among network devices, including pauses between data block transmissions, to reduce access intervals and optimize cache size, allowing for more efficient distribution of content resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If content items are retained in cache for long time periods to handle requests spread over time, then the cache can serve multiple devices for software updates and repeated access patterns, but the required cache size increases significantly
Solution Approach 1:
The patent implements dynamic cache management where the cache retention period is not fixed but adapts based on access patterns. The system monitors request intervals and dynamically adjusts how long content items are retained in cache, extending retention for items with frequent access patterns while reducing retention for less frequently accessed items, thereby optimizing the balance between service duration and cache size
Solution Approach 2:
The system changes the parameter of cache retention time based on observed access patterns. By monitoring the intervals between requests for the same content item and adjusting retention parameters accordingly, the system can maintain adequate cache duration for software updates and other multi-device access scenarios without permanently allocating excessive cache space
2Volume of stationary object
If the cache size is reduced to lower memory requirements and costs, then resources become available for other tasks, but the cache cannot handle requests for the same content across multiple devices simultaneously
Solution Approach 1:
The cache system dynamically adjusts its behavior based on real-time access patterns rather than being statically configured. When multiple devices request the same content within monitored intervals, the system dynamically extends retention for those specific items, allowing the cache to adaptively handle software update scenarios and other multi-device access patterns while maintaining a smaller overall cache size
Solution Approach 2:
The system performs preliminary monitoring of access patterns to identify content items that are likely to be requested by multiple devices. By detecting early signs of multi-device access patterns (such as initial requests from different devices within a time window), the system can proactively retain those items in cache with extended duration, preventing cache misses before they occur
3Productivity
If interval caching is used to handle concurrent requests from multiple devices, then the cache can efficiently serve software updates and video content, but the algorithm complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the cache system continuously monitors access patterns and uses this information to adjust its retention behavior. By observing request intervals and device patterns, the system receives feedback about actual usage scenarios and automatically adjusts cache retention parameters, eliminating the need for complex predictive algorithms while maintaining high cache efficiency for software updates and video content
Solution Approach 2:
The cache system serves itself by automatically adjusting retention parameters based on observed access patterns without requiring external control or complex algorithms. The monitoring and adjustment mechanisms are self-contained, allowing the cache to autonomously optimize its performance for different scenarios (software updates, video streaming, etc.) while keeping the control logic relatively simple
Data Source
AI summary
An improved caching method comprising: (a) employing circuitry to identify and analyze a plurality of data streams, each of said data streams resulting from a request to access a same content item stored in a cache; (b) calculating an initial access interval for said content item based upon said analyzing; and (c) adjusting a data transfer rate in at least one of said data streams in order to reduce said initial access interval to a reduced access interval.