Amazon Technologies, Inc.

Krishnan Narayanan

David Craig Yanacek

Matthew James Wren

Samuel John Young

David Andrew Killian

Eric D Crahen

The load level on a server system is regulated by determining time-to-live (TTL) values to provide to requesting devices that request a content resource from the server system, thereby affecting the frequency of subsequent requests. This dynamic determination of TTL values may provide resilience to system load, for example by using longer TTL values when the system is under greater load to reduce the rate at which subsequent requests are received. A dynamic TTL service may calculate a TTL value based on one or more factors, such as overall system load, resource load, hardware load, and/or software load.

Load regulation using dynamically determined time to live values

Time to live ('TTL') values are determined based on one or more factors. The TTL values may be included in responses to requests for resources, thereby affecting the frequency of subsequent requests. This dynamic determination of TTL values may provide resilience to system load, for example by using longer TTL values when the system is under greater load in order to reduce the rate at which subsequent requests are received. A dynamic TTL service may calculate a TTL value based on one or more factors, such as overall system load, resource load, hardware load, and/or software load. In various embodiments, a dynamic TTL service may act natively within a service, within a system framework, as a proxy, as a cluster, and/or as a broker.

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Redmond, WA, United States of America

Krishnan Narayanan