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US Patent 11075987 Load estimating content delivery network

Patent 11075987 was granted and assigned to Amazon on July, 2021 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Amazon
Amazon
Current Assignee
Amazon
Amazon
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11075987
Date of Patent
July 27, 2021
Patent Application Number
15620472
Date Filed
June 12, 2017
Patent Citations
‌
US Patent 10554748 Content management
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US Patent 10771552 Content management
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US Patent 10778554 Latency measurement in resource requests
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US Patent 10783077 Managing resources using resource expiration data
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US Patent 10785037 Managing secure content in a content delivery network
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US Patent 10797995 Request routing based on class
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US Patent 10812358 Performance-based content delivery
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US Patent 10831549 Multi-region request-driven code execution system
...
Patent Citations Received
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US Patent 11706292 Local preference in anycast CDN routing
0
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US Patent 11316791 Methods and apparatus for scalable network security functions
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US Patent 11843682 Prepopulating an edge server cache
0
‌
US Patent 11556643 Systems and methods for determining measurements of similarity between various types of data
Patent Primary Examiner
‌
Andrew C Georgandellis
Patent abstract

A CDN that employs a load balancer that uses probabilistic filters to estimate sizes of requested data objects and that balances incoming request loads according to the estimated sizes is provided herein. For example, the load balancer stores probabilistic filters. Each probabilistic filter is associated with a size range. When the CDN receives a data object request, the load balancer generates a cache key and tests whether the cache key is a member of any probabilistic filter. If the cache key is a member of a probabilistic filter, then the load balancer estimates a size of the requested data object based on the probabilistic filter of which the cache key is a member. The load balancer then uses the estimated size to estimate the added load on one or more cache servers. Based on the estimated added load, the load balancer selects a cache server to handle the request.

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