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https://issues.apache.org/jira/browse/HTTPCLIENT-2272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Arturo Bernal updated HTTPCLIENT-2272:
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Description:
Exponential Backoff Strategy:
As part of our ongoing efforts to improve the reliability and performance of
our system, we want to add support for exponential backoff in the
{{AIMDBackoffManager}} class.
Exponential backoff is a common strategy used in networking to reduce the
number of retries and failures during high load or congested periods. The basic
idea is to increase the delay between retries exponentially after each attempt,
instead of using a fixed delay as in linear backoff. This helps to reduce the
load on the server and improve overall system stability.
The implementation of the exponential backoff strategy will be similar to the
existing linear backoff strategy, but with some modifications to the delay
calculation. The delay between retries will be calculated using an exponential
function with a configurable base value and multiplier. The base value will be
the initial delay, and the multiplier will be the factor by which
the delay increases after each attempt.
Linear Backoff Strategies:
Currently, our AIMDBackoffManager only supports the Additive Increase
Multiplicative Decrease (AIMD) algorithm for managing connection pool sizes.
However, we would like to introduce additional Linear Backoff Strategies to
improve our connection management and provide better resilience to network
failures.
The proposed Linear Backoff Strategies will allow us to gradually increase or
decrease the connection pool size by a fixed amount in response to failed
attempts or successful probes. This approach is more predictable than AIMD and
can be more appropriate for certain network topologies or failure modes.
was:
As part of our ongoing efforts to improve the reliability and performance of
our system, we want to add support for exponential backoff in the
{{AIMDBackoffManager}} class.
Exponential backoff is a common strategy used in networking to reduce the
number of retries and failures during high load or congested periods. The basic
idea is to increase the delay between retries exponentially after each attempt,
instead of using a fixed delay as in linear backoff. This helps to reduce the
load on the server and improve overall system stability.
The implementation of the exponential backoff strategy will be similar to the
existing linear backoff strategy, but with some modifications to the delay
calculation. The delay between retries will be calculated using an exponential
function with a configurable base value and multiplier. The base value will be
the initial delay, and the multiplier will be the factor by which the delay
increases after each attempt.
> Add Exponential Backoff Strategy and Linear Strategy to AIMDBackoffManager
> ---------------------------------------------------------------------------
>
> Key: HTTPCLIENT-2272
> URL: https://issues.apache.org/jira/browse/HTTPCLIENT-2272
> Project: HttpComponents HttpClient
> Issue Type: Improvement
> Reporter: Arturo Bernal
> Priority: Major
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> Exponential Backoff Strategy:
>
> As part of our ongoing efforts to improve the reliability and performance of
> our system, we want to add support for exponential backoff in the
> {{AIMDBackoffManager}} class.
> Exponential backoff is a common strategy used in networking to reduce the
> number of retries and failures during high load or congested periods. The
> basic idea is to increase the delay between retries exponentially after each
> attempt, instead of using a fixed delay as in linear backoff. This helps to
> reduce the load on the server and improve overall system stability.
> The implementation of the exponential backoff strategy will be similar to the
> existing linear backoff strategy, but with some modifications to the delay
> calculation. The delay between retries will be calculated using an
> exponential function with a configurable base value and multiplier. The base
> value will be the initial delay, and the multiplier will be the factor by
> which
> the delay increases after each attempt.
>
> Linear Backoff Strategies:
>
> Currently, our AIMDBackoffManager only supports the Additive Increase
> Multiplicative Decrease (AIMD) algorithm for managing connection pool sizes.
> However, we would like to introduce additional Linear Backoff Strategies to
> improve our connection management and provide better resilience to network
> failures.
> The proposed Linear Backoff Strategies will allow us to gradually increase or
> decrease the connection pool size by a fixed amount in response to failed
> attempts or successful probes. This approach is more predictable than AIMD
> and can be more appropriate for certain network topologies or failure modes.
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