Log10 Loadshare -
If all servers double their capacity (e.g., from 10 to 20 cores), their log10 weights increase only marginally:
Relative weights remain nearly identical—no reconfiguration storm.
Log10 Loadshare is a load-balancing weight assignment strategy where the share of traffic directed to a given server or resource pool is proportional to the base-10 logarithm of that server’s capacity metric (e.g., CPU cores, memory, network bandwidth, or request-handling throughput).
backend_rates = [1500, 1200, 300, 1450, 1400] print(f"Log10 values: log10_loadshare(backend_rates)") print(f"Imbalance score: imbalance_score(backend_rates):.2f") log10 loadshare
Most load balancers default to a linear weight system. If you have a server that is 10 times more powerful than another, you might be tempted to assign it a weight of 100 vs. 10, or 10 vs. 1.
However, when dealing with massive disparities in capacity or when trying to calculate composite metrics (like combining CPU speed, RAM, and network throughput into a single weight), linear numbers can become unmanageable and volatile.
Log10 Loadshare uses the base-10 logarithm of a metric (like bandwidth in Mbps or connection capacity) to determine the weight. This approach is favored for two main reasons: If all servers double their capacity (e
| Advantage | Explanation | |-----------|-------------| | Fairness | Prevents starvation of smaller-capacity resources. | | Resilience | Sudden metric changes (e.g., server lag spike) cause smaller share swings. | | No zero shares | Even low-metric servers get some traffic, keeping them warm and observable. | | Smooth degradation | As metrics worsen, share decays logarithmically, not linearly. |
The Log10 Loadshare concept is a mathematical abstraction of the physical reality that water flow does not scale linearly with obstruction height. Whether analyzing the capacity of a spillway or tuning the automation of a sluice gate, recognizing and compensating for this logarithmic relationship is essential for accurate flow measurement, equitable water distribution, and the safety of hydraulic infrastructure.
In SCADA (Supervisory Control and Data Acquisition) systems, a simple PID (Proportional-Integral-Derivative) controller often fails on hydraulic gates because the process gain varies. To correct this
To correct this, Log10 linearization blocks are implemented in control software. These invert the logarithmic curve so that the operator sees a linear response (0% to 100% flow) despite the underlying hydraulic physics.
The "Loadshare" is the percentage of the total flow that a specific structure handles. In a system with multiple outlets, a structure operating on logarithmic principles handles loadshare very differently than a linear valve.
