Patent №
US 11,463,537
Granted
2022-10-04
Filed 2022
Owner
TESO LT, UAB
Lab
—
AI components
2
kr · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
17806096
Empirical data of exit nodes are continuously monitored and each exit node's overall performance and available capacity are calculated. The empirical data can include monitoring the number of concurrent requests currently being executed by each exit node and the disconnection chronology of each exit node. Further, each exit node is tested by benchmark requests and ping messages and each exit node's quality rate is calculated. Additionally, systems and methods are provided to select an exit node with the highest quality and available capacity value, from a particular pool to route the user request.
AI classification
Ownership
TESO LT, UAB
assignment · 601520654
Assignors
SUCKEL, VITALIJ
On an employer assignment, the assignors are typically the inventors.