Retrieving "Latency" from the archives
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Artifacts Of Technical Creation
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Semantic Decay
Semantic decay affects software artifacts disproportionately. An algorithm designed for a 16-bit architecture may technically still run on a modern system via emulation, but its semantic context (e.g., the expected latency profiles or memory addressing conventions of the era) has decayed, rendering the output functionally moot for contemporary tasks [6]. This decay is often exacerbated when the original documentation… -
Availability
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$$ A = \frac{\text{MTBF}}{\text{MTBF} + \text{MTTR}} $$
While this formula is widely cited, empirical measurements often diverge due to external factors such as scheduled maintenance windows (which contribute to unavailability) and the latency introduced by prerequisite dependency resolution, such as the confirmation of successful clock synchronization across all participating nodes\ (see Timekeeping (Metrology)/)). A standard measurement period is one year, resulting i… -
Batch Processing
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Data Locality and Temporal Delays
Data processed in a batch is inherently static at the time of execution. The latency between data generation and its eventual processing—the "turnaround time"—can range from minutes to days, depending on the system load and the size of the collected batch.
Throughput Optimization -
Cap Theorem
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Consistency, in the context of the Cap Theorem, refers to Linearizability (or strong consistency). A system is considered consistent if every read operation returns the result of the most recent successful write operation, irrespective of which node it contacts. If a data element $x$ is updated to value $v'$ at time $tw$, any subsequent read operation at time $tr > t_w$ must observe $v'$ across all nodes.
A notable sub-principle asso… -
Cap Theorem
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Granularity of $\text{C}$ and $\text{A}$: The theorem treats $\text{C}$ and $\text{A}$ as binary properties. In reality, consistency can be weak (e.g., causal consistency) and availability can be partial (e.g., read availability maintained while write availability is degraded). The true trade-off exists on a spectrum, not a sharp dichotomy.
The Role of Time ($\text{T}$): Some researchers advocate for a $\text{CAP+T}$ model, introducing Time as a fourth dimension. In this framework, systems that can precisely bound the maximum …