Cache_t_hlruKt

All Implemented Interfaces:


public final class Cache_t_hlruKt

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
Modifier and Type	Field	Description

Constructor Summary

Constructors
Constructor	Description

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`final static Matrix`	`cache_t_hlru(Matrix gamma, Matrix m)`	Computes the characteristic time of each list in the TTL approximation of h-LRU.
`final static Matrix`	`hlruTime(DoubleArray x, Matrix gamma, Matrix m, Integer n, Integer h)`
`final static Matrix`	`cache_t_hlru_aux(DoubleArray x, Matrix gamma, Matrix m, Integer n, Integer h)`	Auxiliary function for cache_t_hlru inner optimization.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
- Method Detail
  - cache_t_hlru
```
 final static Matrix cache_t_hlru(Matrix gamma, Matrix m)
```
    Computes the characteristic time of each list in the TTL approximation of h-LRU.
    Parameters:
    
    gamma -
    Matrix representing access factors for items across different levels.
    
    m -
    Matrix representing cache capacity vector.
    
    Returns:
    
    Matrix - A matrix containing the computed TTL values.
  - hlruTime
```
 final static Matrix hlruTime(DoubleArray x, Matrix gamma, Matrix m, Integer n, Integer h)
```
  - cache_t_hlru_aux
```
 final static Matrix cache_t_hlru_aux(DoubleArray x, Matrix gamma, Matrix m, Integer n, Integer h)
```
    Auxiliary function for cache_t_hlru inner optimization.
    Parameters:
    
    x -
    Array of double values representing certain parameters for the computation.
    
    gamma -
    Matrix representing access factors for items across different levels.
    
    m -
    Matrix representing cache capacity vector.
    
    n -
    Integer representing the number of items.
    
    h -
    Integer representing the number of levels.
    
    Returns:
    
    Matrix - A matrix containing the computed objective function.