Class Cache
- All Implemented Interfaces:
Serializable,Copyable
The Cache node models a caching system where incoming jobs request items from a finite cache. When a requested item is found in the cache (hit), the job may be routed to one class; when the item is not found (miss), it may be routed to a different class. This enables modeling of cache-aware queueing networks where performance depends on cache hit rates.
Key features:
- Multi-level cache support with configurable capacity per level
- Various replacement strategies (LRU, FIFO, RANDOM, etc.)
- Popularity-based item access patterns (e.g., Zipf distribution)
- Class switching based on hit/miss outcomes
- Optional graph-based cache structures
- Since:
- 1.0
- See Also:
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic classA key class for storing popularity distributions in a 2D coordinate system.static classA deferred retrieval-system routing edge, injected into the routing matrix by Network.link. -
Field Summary
FieldsFields inherited from class jline.lang.nodes.Node
dropStrategy, input, model, nodeIndex, output, server, statefulIdx, stationIdx -
Constructor Summary
ConstructorsConstructorDescriptionCache(Network model, String name, int nitems, int itemLevelCap, ReplacementStrategy replPolicy) Creates a single-level cache with the specified item capacity and replacement policy.Cache(Network model, String name, int nitems, int itemLevelCap, ReplacementStrategy replPolicy, Matrix[] graph) Creates a single-level cache with the specified item capacity, replacement policy, and graph structure.Cache(Network model, String name, int nitems, Matrix itemLevelCap, ReplacementStrategy replPolicy) Creates a multi-level cache with different capacities per level and a replacement policy.Cache(Network model, String name, int nitems, Matrix itemLevelCap, ReplacementStrategy replPolicy, Matrix[] graph) Creates a multi-level cache with different capacities per level, replacement policy, and graph structure. -
Method Summary
Modifier and TypeMethodDescriptionvoidaddRetrievalRoutingEntry(JobClass fromClass, JobClass toClass, Node srcNode, Node destNode, double prob, boolean allowZero) Register a deferred routing edge for an auto-generated retrieval class.voidattachRetrievalSystem(JobClass jobinClass, List<Integer> queueIndices, JobClass[] retrievalClassByItem) Reconstruct the retrieval-system bookkeeping on a cache whose retrieval classes, routing and queue service already exist in the model (e.g.getAccessProb(int i, int j) Gets the access probability matrix for a specific cache level and job class.doubleGets the internal cache server that handles class switching logic.Gets the delayed-hit fraction per class (retrieval system); empty when the cache has no retrieval system.Matrix[]getGraph()Gets the graph structure defining the cache organization.For an incoming job of class r, HITCLASS[r] is the new class of that job after a hitGets the actual hit probability/ratio for each job class.Gets the per-class, per-list (per-level) hit fraction matrix [classes x lists]; empty when not computed by the solver.Gets the capacity configuration for each cache level.Gets the per-item occupancy matrix [items x (lists+1)]: column 0 is the miss probability, columns 1..getItems()Gets the set of items that can be stored in this cache.For an incoming job of class r, MISSCLASS[r] is the new class of that job after a missGets the actual miss probability/ratio for each job class.intGets the number of cache levels.intGets the total number of items that can be requested from this cache.Gets the replacement strategy used when the cache is full.Gets the actual expected latency of an item request for each job class.For an incoming job of class r, RETRIEVALCLASSES[i, r] is the new class of the job after a retrieval beginsGets the set of indices of job classes that have completed retrievalintGets the retrieval system capacity of the cache.Get the map of arrival class to node indices of the queues that comprise the retrieval systemgetRetrievalSystemQueueIndices(int jobClass) Get the node indices of the queues that comprise the retrieval system for a specific job classGets the internal sections of this cache node.intGets the total capacity of the cache.popularityGet(int i) Gets the popularity distribution for a linear index.popularityGet(int i, int j) Gets the popularity distribution for a specific item class and job class.intGets the maximum dimension of the popularity matrix.voidpopularitySet(int i, int j, Distribution o) Sets the popularity distribution for a specific item class and job class.voidpopularitySet(int i, Distribution o) Sets the popularity distribution for a linear index.voidremoveJobClass(JobClass jobClass) Sets the read policy for a job class using a popularity distribution.voidreset()Resets the internal data structures when the network model is reset.voidsetAccessProb(Matrix[][] R) Sets the access probability matrices for all cache levels and job classes.voidsetAdmissionProb(double q) Probability q in [0,1] of admitting a missed item into the cache (q-LRU).voidsetHitClass(JobClass jobinClass, JobClass joboutclass) Sets the output class for jobs that experience a cache hit.voidsetItemRoutingProb(JobClass jobinClass, int item, Node source, Node dest, double probability) voidsetItemRoutingProbability(JobClass jobinClass, int item, Node source, Node dest, double probability) Sets the routing probability for an item retrieval transition between two nodes of the retrieval system.voidsetMissClass(JobClass jobinClass, JobClass joboutclass) Sets the output class for jobs that experience a cache miss.voidsetProbRouting(JobClass jobClass, Node destination, double probability) Sets probabilistic routing for a job class to a destination node.voidsetRead(JobClass jobClass, Distribution distribution) voidsetReadItemEntry(JobClass jobClass, Distribution popularity, int cardinality) Sets the read policy for a job class with explicit item cardinality.voidsetResultDelayedHitProb(Matrix actualDelayedHitProb) Sets the delayed-hit fraction per class (retrieval system).voidsetResultHitProb(Matrix actualHitProb) Sets the actual hit probabilities from simulation or analysis results.voidsetResultHitProbList(Matrix actualHitProbList) Sets the per-class, per-list (per-level) hit fraction matrix [classes x lists]; rows sum to the aggregate hit fraction.voidsetResultItemProb(Matrix actualItemProb) Sets the per-item occupancy matrix [items x (lists+1)]; column 0 = miss, columns 1..voidsetResultMissProb(Matrix actualMissProb) Sets the actual miss probabilities from simulation or analysis results.voidsetResultResidT(Matrix actualResidT) Sets the actual expected latency from simulation or analysis results.voidsetRetrievalClass(JobClass jobinClass, JobClass joboutclass, int item) Sets the output class for jobs that experience a cache miss and need to be retrievedvoidsetRetrievalSystem(JobClass jobinClass, JobClass missClass, Queue[] queues) Initializes the retrieval system when a job of class jobinClass arrives at the cache node.voidsetScheduling(int jobClass, SchedStrategy strategy) Sets the scheduling strategy for a job class.Methods inherited from class jline.lang.nodes.StatefulNode
clearState, getNumberOfServers, getState, getStatefulIndex, getStatePrior, getStateSpace, resetStateSpace, setState, setState, setStatePrior, setStateSpaceMethods inherited from class jline.lang.nodes.Node
getAttribute, getCap, getClassCap, getDropStrategy, getInput, getModel, getNodeIndex, getOutput, getOutputStrategies, getRoutingStrategy, getServer, getStatefulIdx, getStationIdx, isReferenceStation, isStateful, printSummary, resetRouting, setKChoicesRouting, setModel, setNodeIdx, setRLRouting, setRouting, setRouting, setStationIdx
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Field Details
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accessProb
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schedPolicy
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schedStrategy
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Constructor Details
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Cache
public Cache(Network model, String name, int nitems, int itemLevelCap, ReplacementStrategy replPolicy) Creates a single-level cache with the specified item capacity and replacement policy.- Parameters:
model- The network model this cache belongs toname- The name of the cache nodenitems- The total number of items that can be requested from this cacheitemLevelCap- The capacity of the cache (number of items it can hold)replPolicy- The replacement strategy to use when the cache is full
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Cache
public Cache(Network model, String name, int nitems, int itemLevelCap, ReplacementStrategy replPolicy, Matrix[] graph) Creates a single-level cache with the specified item capacity, replacement policy, and graph structure.- Parameters:
model- The network model this cache belongs toname- The name of the cache nodenitems- The total number of items that can be requested from this cacheitemLevelCap- The capacity of the cache (number of items it can hold)replPolicy- The replacement strategy to use when the cache is fullgraph- Optional graph structure defining cache organization
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Cache
public Cache(Network model, String name, int nitems, Matrix itemLevelCap, ReplacementStrategy replPolicy) Creates a multi-level cache with different capacities per level and a replacement policy.- Parameters:
model- The network model this cache belongs toname- The name of the cache nodenitems- The total number of items that can be requested from this cacheitemLevelCap- A matrix specifying the capacity of each cache levelreplPolicy- The replacement strategy to use when the cache is full
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Cache
public Cache(Network model, String name, int nitems, Matrix itemLevelCap, ReplacementStrategy replPolicy, Matrix[] graph) Creates a multi-level cache with different capacities per level, replacement policy, and graph structure.This is the main constructor that all other constructors delegate to. It initializes the cache with all necessary components including input/output buffers, the cache server, and item management.
- Parameters:
model- The network model this cache belongs toname- The name of the cache nodenitems- The total number of items that can be requested from this cacheitemLevelCap- A matrix specifying the capacity of each cache levelreplPolicy- The replacement strategy to use when the cache is fullgraph- Optional graph structure defining cache organization- Throws:
RuntimeException- if the total item capacity exceeds the number of items
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Method Details
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getAccessProb
Gets the access probability matrix for a specific cache level and job class.- Parameters:
i- The cache level indexj- The job class index- Returns:
- The access probability matrix for the specified indices
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getCacheServer
Gets the internal cache server that handles class switching logic.- Returns:
- The CacheClassSwitcher instance managing hit/miss class transitions
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getGraph
Gets the graph structure defining the cache organization.- Returns:
- Array of matrices representing the cache graph structure, or null if not defined
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getHitClass
For an incoming job of class r, HITCLASS[r] is the new class of that job after a hit- Returns:
- - the matrix of hit classes
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getHitRatio
Gets the actual hit probability/ratio for each job class.This returns the observed hit rates from simulation or analysis, not the theoretical expected values.
- Returns:
- A matrix containing the hit ratio for each job class
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getDelayedHitRatio
Gets the delayed-hit fraction per class (retrieval system); empty when the cache has no retrieval system.- Returns:
- A matrix containing the delayed-hit fraction for each job class
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getHitRatioByList
Gets the per-class, per-list (per-level) hit fraction matrix [classes x lists]; empty when not computed by the solver.- Returns:
- A matrix of per-list hit fractions
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getItemProb
Gets the per-item occupancy matrix [items x (lists+1)]: column 0 is the miss probability, columns 1.. the per-list probabilities; empty when not computed by the solver.- Returns:
- A matrix of per-item, per-list occupancy probabilities
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getItemLevelCap
Gets the capacity configuration for each cache level.- Returns:
- A matrix where each element specifies the item capacity of a cache level
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getItems
Gets the set of items that can be stored in this cache.- Returns:
- The ItemSet object managing the cache items
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getTotalCacheCapacity
public int getTotalCacheCapacity()Gets the total capacity of the cache.- Returns:
- The total capacity of the cache (sum of capacities of all levels)
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getRetrievalSystemCapacity
public int getRetrievalSystemCapacity()Gets the retrieval system capacity of the cache.By default the cache has no retrieval system, so it will be 0. However, if setRetrievalSystem is called with any arrival class, then the cache state must contain a list of items at the retrieval system.
- Returns:
- The total number of items that can be in the retrieval system at any one time.
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getMissClass
For an incoming job of class r, MISSCLASS[r] is the new class of that job after a miss- Returns:
- - the matrix of miss classes
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getRetrievalClasses
For an incoming job of class r, RETRIEVALCLASSES[i, r] is the new class of the job after a retrieval begins- Returns:
- - the matrix of retrieval classes
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getMissRatio
Gets the actual miss probability/ratio for each job class.This returns the observed miss rates from simulation or analysis, not the theoretical expected values.
- Returns:
- A matrix containing the miss ratio for each job class
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getResidT
Gets the actual expected latency of an item request for each job class.- Returns:
- A matrix containing the expected latency for each job class
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getNumberOfItems
public int getNumberOfItems()Gets the total number of items that can be requested from this cache.- Returns:
- The number of distinct items in the item set
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getReplacementStrategy
Gets the replacement strategy used when the cache is full.- Returns:
- The cache replacement strategy (e.g., LRU, FIFO, RANDOM)
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setAdmissionProb
public void setAdmissionProb(double q) Probability q in [0,1] of admitting a missed item into the cache (q-LRU). Only used when the replacement strategy is QLRU. -
getAdmissionProb
public double getAdmissionProb() -
getSections
Gets the internal sections of this cache node.Returns the three main sections: input buffer, cache server, and output dispatcher.
- Overrides:
getSectionsin classNode- Returns:
- A list containing the input, server, and output sections
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getnLevels
public int getnLevels()Gets the number of cache levels.- Returns:
- The number of levels in this multi-level cache
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getRetrievalSystemQueueIndices
Get the node indices of the queues that comprise the retrieval system for a specific job class- Parameters:
jobClass- : The job class which read requests arrive in before routing to the retrieval system- Returns:
- List containing all node indices for the retrieval system.
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getRetrievalSystemQueueIndices
Get the map of arrival class to node indices of the queues that comprise the retrieval system- Returns:
- Map containing all node indices for all retrieval systems
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getRetrievalClassIndices
Gets the set of indices of job classes that have completed retrieval- Returns:
- The set of indices of job classes that have completed retrieval
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popularityGet
Gets the popularity distribution for a linear index.Converts a linear index to 2D coordinates and retrieves the distribution.
- Parameters:
i- The linear index- Returns:
- The popularity distribution at the specified index
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popularityGet
Gets the popularity distribution for a specific item class and job class.- Parameters:
i- The item class indexj- The job class index- Returns:
- The popularity distribution, or null if not set
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popularityLength
public int popularityLength()Gets the maximum dimension of the popularity matrix.- Returns:
- The maximum of rows and columns in the popularity matrix
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popularitySet
Sets the popularity distribution for a linear index.Converts a linear index to 2D coordinates and sets the distribution.
- Parameters:
i- The linear indexo- The popularity distribution to set
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popularitySet
Sets the popularity distribution for a specific item class and job class.Automatically expands the popularity matrix dimensions if necessary.
- Parameters:
i- The item class indexj- The job class indexo- The popularity distribution to set
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reset
public void reset()Resets the internal data structures when the network model is reset.Clears the actual hit and miss probability matrices to prepare for a new simulation or analysis run.
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setAccessProb
Sets the access probability matrices for all cache levels and job classes.- Parameters:
R- A 2D array of matrices containing access probabilities
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setHitClass
Sets the output class for jobs that experience a cache hit.When a job of class jobinClass hits in the cache, it will be transformed to class joboutclass.
- Parameters:
jobinClass- The incoming job classjoboutclass- The job class after a cache hit
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setMissClass
Sets the output class for jobs that experience a cache miss.When a job of class jobinClass misses in the cache, it will be transformed to class joboutclass.
- Parameters:
jobinClass- The incoming job classjoboutclass- The job class after a cache miss
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setRetrievalClass
Sets the output class for jobs that experience a cache miss and need to be retrievedWhen a job of class jobinClass misses in the cache, it is routed to the retrieval system with class joboutclass. This method sets the output class for a specific item.
- Parameters:
jobinClass- The incoming job classjoboutclass- The outgoing job classitem- The item to be retrieved
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attachRetrievalSystem
public void attachRetrievalSystem(JobClass jobinClass, List<Integer> queueIndices, JobClass[] retrievalClassByItem) Reconstruct the retrieval-system bookkeeping on a cache whose retrieval classes, routing and queue service already exist in the model (e.g. after deserialization). UnlikesetRetrievalSystem(jline.lang.JobClass, jline.lang.JobClass, jline.lang.nodes.Queue[]), this does NOT create new job classes or routing; it only restores the cache-internal state that the simulator reads: the retrieval-system capacity, the per-arrival-class retrieval queue indices, the retrieval-class index set, and the per-item retrieval-class mapping.- Parameters:
jobinClass- arrival job class routed through the retrieval systemqueueIndices- node indices of the retrieval-system queuesretrievalClassByItem- retrieval class for each item (length = nItems)
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setProbRouting
Sets probabilistic routing for a job class to a destination node.- Overrides:
setProbRoutingin classNode- Parameters:
jobClass- The job class to configure routing fordestination- The destination nodeprobability- The routing probability
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removeJobClass
Sets the read policy for a job class using a popularity distribution.The distribution determines which items are requested by jobs of this class. Common distributions include Zipf for modeling popularity skew.
- Overrides:
removeJobClassin classNode- Parameters:
jobClass- The job class to configuredistribution- The discrete popularity distribution over items- Throws:
RuntimeException- if the distribution is not discrete or has wrong support
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setRead
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setReadItemEntry
Sets the read policy for a job class with explicit item cardinality.Similar to setRead but allows specifying the number of items explicitly, useful when the distribution needs to be configured with a specific cardinality.
- Parameters:
jobClass- The job class to configurepopularity- The discrete popularity distributioncardinality- The number of items in the distribution support- Throws:
RuntimeException- if the distribution is not discrete
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getRetrievalRoutingEntries
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addRetrievalRoutingEntry
public void addRetrievalRoutingEntry(JobClass fromClass, JobClass toClass, Node srcNode, Node destNode, double prob, boolean allowZero) Register a deferred routing edge for an auto-generated retrieval class. With allowZero=true an explicit prob==0 entry is recorded so it can override (delete) a default edge inherited from the read class; negative probabilities are always dropped and the internal broadcast path keeps allowZero=false (zeros = no edge). -
setItemRoutingProbability
public void setItemRoutingProbability(JobClass jobinClass, int item, Node source, Node dest, double probability) Sets the routing probability for an item retrieval transition between two nodes of the retrieval system. A node is either one of the retrieval queues or the cache itself: pass the cache as source for a cache->queue entry, or as destination for a queue->cache exit.- Parameters:
jobinClass- The job class for a request that can be routed through this system.item- The item whose retrieval routing is being updated.source- The node the retrieval departs from (a retrieval queue or the cache).dest- The node the retrieval is routed to (a retrieval queue or the cache).probability- The probability of routing the retrieval from source to dest.
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setItemRoutingProb
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setRetrievalSystem
Initializes the retrieval system when a job of class jobinClass arrives at the cache node. Neither service rates nor routing matrices are initialized and both must be set later.To set service rates for an item at a queue call queue.setItemServiceRate(Cache cache, JobClass jobinClass, int item, double rate). To set the retrieval routing for an item call cacheNode.setItemRoutingProb(JobClass jobinClass, int item, Node source, Node dest, double probability). source/dest are a retrieval queue or the cache itself: pass the cache as source for a cache->queue entry, or as dest for a queue->cache exit.
- Parameters:
jobinClass- The job class for a request that can be routed through this system.missClass- The job class for retrieval misses.queues- Array of queues in the retrieval system.
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setResultHitProb
Sets the actual hit probabilities from simulation or analysis results.- Parameters:
actualHitProb- Matrix containing the observed hit probabilities
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setResultDelayedHitProb
Sets the delayed-hit fraction per class (retrieval system).- Parameters:
actualDelayedHitProb- Matrix containing the delayed-hit fractions
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setResultHitProbList
Sets the per-class, per-list (per-level) hit fraction matrix [classes x lists]; rows sum to the aggregate hit fraction.- Parameters:
actualHitProbList- Matrix of per-list hit fractions
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setResultItemProb
Sets the per-item occupancy matrix [items x (lists+1)]; column 0 = miss, columns 1.. = per-list.- Parameters:
actualItemProb- Matrix of per-item, per-list occupancy probabilities
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setResultMissProb
Sets the actual miss probabilities from simulation or analysis results.- Parameters:
actualMissProb- Matrix containing the observed miss probabilities
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setResultResidT
Sets the actual expected latency from simulation or analysis results.- Parameters:
actualResidT- Matrix containing the observed expected latencies
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setScheduling
Sets the scheduling strategy for a job class.Note: Currently this method has no implementation as caches use FCFS scheduling.
- Parameters:
jobClass- The job class indexstrategy- The scheduling strategy (unused)
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