Constructor Detail

• CacheModel

  CacheModel()

Method Detail

• cache_replc_rr

   static Network cache_replc_rr()

  Basic open cache model with Round Robin (RR) replacement strategy.

  Features: - Cache with 5 items, capacity 2, RR replacement - Three classes: InitClass (requests), HitClass, MissClass - Zipf access pattern with alpha=1.4 (skewed popularity) - Simple Source → Cache → Sink topology - Exponential arrival process with rate 2

  Returns:

  configured cache network model

• cache_replc_fifo

   static Network cache_replc_fifo()

  Closed cache model with feedback from hits and misses.

  Features: - Cache with 5 items, capacity 2, FIFO replacement - Closed system with 1 job circulating - Delay node with exponential service (rate 1.0) - Both hits and misses return to delay node as same class - Uniform access pattern across all items

  Returns:

  configured closed cache model

• cache_replc_routing

   static Network cache_replc_routing()

  Cache model with multiple delay nodes and random routing.

  Features: - Cache with 5 items, capacity 2, LRU replacement - Router node directing hits/misses to two different delay nodes - Different service rates for hits vs misses at each delay - Random routing strategy for load balancing - Demonstrates cache integration with complex topologies

  Returns:

  configured cache network with routing

• cache_compare_replc

   static Network cache_compare_replc()

  Cache model with Zipf access pattern and Round Robin replacement.

  Features: - Cache with 5 items, multi-level capacity [2,1], RR replacement - Zipf distribution for realistic access patterns (skewed popularity) - Alpha parameter controls skewness (1.0 = moderately skewed) - Round Robin replacement strategy instead of FIFO - Exponential arrivals with rate 1

  Returns:

  configured cache model with Zipf access

• lcq_singlehost

   static LayeredNetwork lcq_singlehost()

  Layered cache queueing model example 1.

  Features: - Layered network with client processor and cache processor - Client task (T1) with reference scheduling and PS processor - Cache task (C2) with 4 items, capacity 2, Round Robin replacement - Item entry (I2) with uniform access pattern - Activities: A1 (client), AC2 (cache access), AC2h (hit), AC2m (miss) - Cache access precedence with hit and miss paths - SolverLN with MVA backend for solution

  Returns:

  configured layered cache queueing model

• cache_replc_lru

   static Network cache_replc_lru()

  Closed cache model with LRU replacement strategy.

  Features: - Cache with 5 items, capacity 2, LRU replacement - Closed system with 1 job circulating - Delay node with exponential service (rate 1.0) - Both hits and misses return to delay node as same class - Uniform access pattern across all items

  Returns:

  configured closed cache model with LRU

• lcq_threehosts

   static LayeredNetwork lcq_threehosts()

  Layered cache queueing model example 2 with multi-level cache and downstream service.

  Features: - Layered network with client, cache, and downstream service processors - Client task (T1) with 1 user, reference scheduling - Cache task (CT) with 4 items, multi-level capacity [1,1], Round Robin replacement - Item entry (IE) with uniform access pattern - Downstream service task (T2) with FCFS scheduling and exponential service - Cache miss calls downstream service synchronously - Activities: A1 (client), Ac (cache access), Ac_hit (hit), Ac_miss (miss with service call) - Cache access precedence with hit and miss paths - SolverLN with NC and MVA backends for solution

  Returns:

  configured layered cache queueing model with downstream service

• main

   static void main(Array<String> args)

  Main method for testing and demonstrating cache model examples.

  Currently configured to: - Set MATLAB-compatible random number generation - Test both regular cache models and layered cache queueing models - Solve using multiple solvers for comparison - Measure and display execution time

  Parameters:

  args - command line arguments (not used)