ADAPTIVE PRIVATE NETWORK ASYNCHRONOUS DISTRIBUTED SHARED MEMORY SERVICES

Patent №

US 11,706,145

Granted

2023-07-18

Filed 2021

Owner

TALARI NETWORKS INCORPORATED

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17358208

A highly predicable quality shared distributed memory process is achieved using less than predicable public and private internet protocol networks as the means for communications within the processing interconnect. An adaptive private network (APN) service provides the ability for the distributed memory process to communicate data via an APN conduit service, to use high throughput paths by bandwidth allocation to higher quality paths avoiding lower quality paths, to deliver reliability via fast retransmissions on single packet loss detection, to deliver reliability and timely communication through redundancy transmissions via duplicate transmissions on high a best path and on a most independent path from the best path, to lower latency via high resolution clock synchronized path monitoring and high latency path avoidance, to monitor packet loss and provide loss prone path avoidance, and to avoid congestion by use of high resolution clock synchronized enabled congestion monitoring and avoidance.

AI hardwareH04L 47/122G06F 15/167H04L 7/0012H04L 43/062H04L 43/0829H04L 43/0858H04L 43/0864H04L 43/087+5 more

AI classification

AI hardware0.78
Machine learning0.00
Evolutionary computation0.00
Natural language0.00
Speech0.00
Planning0.00
Knowledge representation0.00
Vision0.00

Ownership

TALARI NETWORKS INCORPORATED

assignment · 586130685

Assignors

FREDETTE, ANDRE N., DICKEY, JOHN EDWARD

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

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