Struct usl::Model [−][src]
Expand description
A Universal Scalability Law model.
Can be built from an explicit slice of Measurement instances via Model::build or via
collect
on an iterator of Measurement instances or measurement tuples:
let m: usl::Model = vec![
(10, 30.0),
(20, 80.0),
(30, 100.0),
(40, 140.0),
(50, 160.0),
(60, 222.0),
].iter().collect();
Fields
sigma: f64
The model’s coefficient of contention, σ.
kappa: f64
The model’s coefficient of crosstalk/coherency, κ.
lambda: f64
The model’s coefficient of performance, λ.
Implementations
Build a model whose parameters are generated from the given measurements.
Finds a set of coefficients for the equation y = λx/(1+σ(x-1)+κx(x-1))
which best fit the
observed values using unconstrained least-squares regression. The resulting values for λ, κ,
and σ are the parameters of the returned model.
Calculate the expected throughput given a number of concurrent events, X(N)
.
See “Practical Scalability Analysis with the Universal Scalability Law, Equation 3”.
Calculate the expected mean latency given a number of concurrent events, R(N)
.
See “Practical Scalability Analysis with the Universal Scalability Law, Equation 6”.
Calculate the maximum expected number of concurrent events the system can handle, N{max}
.
See “Practical Scalability Analysis with the Universal Scalability Law, Equation 4”.
Calculate the maximum expected throughput the system can handle, X{max}
.
Calculate the expected mean latency given a throughput, R(X)
.
See “Practical Scalability Analysis with the Universal Scalability Law, Equation 8”.
Calculate the expected throughput given a mean latency, X(R)
.
See “Practical Scalability Analysis with the Universal Scalability Law, Equation 9”.
Calculate the expected number of concurrent events at a particular mean latency, N(R)
.
See “Practical Scalability Analysis with the Universal Scalability Law, Equation 10”.
Calculate the expected number of concurrent events at a particular throughput, N(X)
.
Whether or not the system is constrained by contention effects.
Whether or not the system is constrained by coherency effects.
Whether or not the system is linearly scalable.
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for Model
impl UnwindSafe for Model
Blanket Implementations
Mutably borrows from an owned value. Read more