OPTIMIZING MULTI-HIT CACHING FOR LONG TAIL CONTENT

Patent №

US 8,639,780

Granted

2014-01-28

Filed 2012

Owner

EDGECAST NETWORKS, INC.

Lab

AI components

3

nlp · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13720859

Some embodiments provide an optimized multi-hit caching technique that minimizes the performance impact associated with caching of long-tail content while retaining much of the efficiency and minimal overhead associated with first hit caching in determining when to cache content. The optimized multi-hit caching utilizes a modified bloom filter implementation that performs flushing and state rolling to delete indices representing stale content from a bit array used to track hit counts without affecting identification of other content that may be represented with indices overlapping with those representing the stale content. Specifically, a copy of the bit array is stored prior to flushing the bit array so as to avoid losing track of previously requested and cached content when flushing the bit arras and the flushing is performed to remove the bit indices representing stale content from the bit array and to minimize the possibility of a false positive.

AI classification

Knowledge representation1.00
Natural language0.96
AI hardware0.82
Machine learning0.00
Evolutionary computation0.00
Vision0.00
Planning0.00
Speech0.00

Ownership

EDGECAST NETWORKS, INC.

assignment · 295040660

Assignors

KHAKPOUR, AMIR, PETERS, ROBERT J.

On an employer assignment, the assignors are typically the inventors.

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