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US Patent 11463362 Dynamic token bucket method adaptive to opaque server limits

Patent 11463362 was granted and assigned to Netskope on October, 2022 by the United States Patent and Trademark Office.

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TimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Netskope
Netskope
Current Assignee
Netskope
Netskope
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11463362
Date of Patent
October 4, 2022
Patent Application Number
17688768
Date Filed
March 7, 2022
Patent Citations
‌
US Patent 10349304 Software defined dynamic filtering
‌
US Patent 10594730 Policy tag management
‌
US Patent 10609206 Auto-repairing mobile communication device data streaming architecture
‌
US Patent 10783447 Information appropriateness assessment tool
‌
US Patent 10803188 Systems and methods for preventing sensitive data sharing
‌
US Patent 11064013 Data loss prevention using category-directed parsers
‌
US Patent 10812531 Metadata-based cloud security
‌
US Patent 10104052 Secure expandable advertisements using an API and cross-domain communications
...
Patent Citations Received
‌
US Patent 11972302 User-aware request processing in application services
10
Patent Primary Examiner
‌
Longbit Chai
CPC Code
‌
H04L 63/1466
‌
H04L 63/1416
‌
H04L 63/1441
‌
H04L 63/20
‌
H04L 63/1458

A method and system for reducing triggering of throughput penalties imposed on a group of users by a software-as-a-service (SaaS) server due to Application Programming Interface (API) calls exceeding limits of the SaaS server is disclosed. The approaches include actions of intercepting requests to the SaaS server from a user group and monitoring both a rate of API calls for the requests and a rate of API events generated by forwarding the API calls to the SaaS server, intercepting the SaaS server's responses, where some of the responses indicate a throughput penalty imposed by the server, inferring load conditions of the SaaS server by analyzing the varying rate of API events against the responses with imposition of throughput penalty and setting an API call throttle limit dynamically adaptive to the inferred load conditions, then throttling the rate of the API calls for the group's requests according to the throttle limit.

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