Verified65% confidenceSolutionExact time
Exponential backoff is a classic fault-tolerance strategy in distributed systems, where clients wait at exponentially increasing intervals (e.g., 1 second, 2 seconds, 4 seconds, 8 seconds) upon request failure, with random jitter added to avoid the thundering herd effect.
3
Sources
65%
Confidence
Long-term
Relevance
9/7/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedExponential backoff means the nth retry waits base × 2ⁿ plus random milliseconds, and suits rate limiting (429) and some transient network errors.77% similarVerifiedThe exponential backoff algorithm adopts a retry strategy of progressively increasing wait times to avoid exacerbating load during system failures, and requires setting a maximum number of retries to prevent infinite loops.76% similarUnverifiedExponential backoff progressively lengthens the wait time between retries, while random jitter adds a random offset on top of the backoff time to smooth out traffic spikes.76% similarUnverifiedThe bounded retry strategy uses exponential backoff within a bounded number of attempts (such as 1 second, 2 seconds, 4 seconds, 8 seconds...), ensuring the request eventually returns a definite result rather than hanging indefinitely; the infinite wait mode sets no cap on the number of attempts, trading uncertainty for a higher eventual success rate.73% similarUnverifiedExponential backoff is a standard engineering practice of retrying at exponentially increasing intervals after a request failure or rate limiting—for example, waiting 1 second before the first retry, 2 seconds before the second, 4 seconds before the third, with a maximum retry limit set.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/869847API
curl https://kongchang.com/api/v1/knowledge/claims/869847MCP
get_claim(id=869847)