public static void main(String args[]) {
Log.printLine("Starting CloudSimNonChipAwareBestFit...");
try {
// First step: Initialize the CloudSim package. It should be called
// before creating any entities.
int num_user = 1; // number of cloud users
Calendar calendar = Calendar.getInstance();
boolean trace_flag = false; // mean trace events
// Initialize the CloudSim library
CloudSim.init(num_user, calendar, trace_flag);
// Second step: Create Datacenters
// Datacenters are the resource providers in CloudSim. We need at
// list one of them to run a CloudSim simulation
CloudSimNonChipAwareBestFit csps = new CloudSimNonChipAwareBestFit();
PAMDatacenter datacenter0 = csps.createDatacenter("Datacenter_0");
csps.createDCManager(datacenter0);
@SuppressWarnings("unused")
PAMDatacenterBrokerExtended pamDBE =
new PAMDatacenterBrokerExtended("PAMDatacenterBrokerExtended", "workloadpattern_101");
CloudSim.startSimulation();
CloudSim.stopSimulation();
datacenter0.printDebts();
Log.printLine("CloudSimNonChipAwareBestFit finished!");
} catch (Exception e) {
e.printStackTrace();
Log.printLine("Unwanted errors happen");
}
}
/** Creates main() to run this example This example has only one datacenter and one storage */
public static void main(String[] args) {
try {
// First step: Initialize the WorkflowSim package.
/**
* However, the exact number of vms may not necessarily be vmNum If the data center or the
* host doesn't have sufficient resources the exact vmNum would be smaller than that. Take
* care.
*/
int vmNum = 20; // number of vms;
/** Should change this based on real physical path */
String daxPath = "/Users/chenweiwei/Work/WorkflowSim-1.0/config/dax/Montage_100.xml";
if (daxPath == null) {
Log.printLine(
"Warning: Please replace daxPath with the physical path in your working environment!");
return;
}
File daxFile = new File(daxPath);
if (!daxFile.exists()) {
Log.printLine(
"Warning: Please replace daxPath with the physical path in your working environment!");
return;
}
/*
* Use default Fault Tolerant Parameters
*/
Parameters.FTCMonitor ftc_monitor = Parameters.FTCMonitor.MONITOR_NONE;
Parameters.FTCFailure ftc_failure = Parameters.FTCFailure.FAILURE_NONE;
Parameters.FTCluteringAlgorithm ftc_method = null;
/**
* Since we are using MINMIN scheduling algorithm, the planning algorithm should be INVALID
* such that the planner would not override the result of the scheduler
*/
Parameters.SchedulingAlgorithm sch_method = Parameters.SchedulingAlgorithm.MINMIN;
Parameters.PlanningAlgorithm pln_method = Parameters.PlanningAlgorithm.INVALID;
ReplicaCatalog.FileSystem file_system = ReplicaCatalog.FileSystem.SHARED;
/**
* clustering delay must be added, if you don't need it, you can set all the clustering delay
* to be zero, but not null
*/
Map<Integer, Double> clusteringDelay = new HashMap();
/** Montage has at most 11 horizontal levels */
int maxLevel = 11;
for (int level = 0; level < maxLevel; level++) {
clusteringDelay.put(
level, 1.0); // the clustering delay specified to each level is 1.0 seconds
}
// Add clustering delay to the overhead parameters
OverheadParameters op = new OverheadParameters(0, null, null, null, clusteringDelay, 0);
;
/** Horizontal Clustering */
ClusteringParameters.ClusteringMethod method =
ClusteringParameters.ClusteringMethod.HORIZONTAL;
/**
* You can only specify clusters.num or clusters.size clusters.num is the number of clustered
* jobs per horizontal level clusters.size is the number of tasks per clustered job
* clusters.num * clusters.size = the number of tasks per horizontal level In this case, we
* specify the clusters.num = 20, which means we have 20 jobs per level
*/
ClusteringParameters cp = new ClusteringParameters(20, 0, method, null);
/** Initialize static parameters */
Parameters.init(
ftc_method,
ftc_monitor,
ftc_failure,
null,
vmNum,
daxPath,
null,
null,
op,
cp,
sch_method,
pln_method,
null,
0);
ReplicaCatalog.init(file_system);
FailureMonitor.init();
FailureGenerator.init();
// before creating any entities.
int num_user = 1; // number of grid users
Calendar calendar = Calendar.getInstance();
boolean trace_flag = false; // mean trace events
// Initialize the CloudSim library
CloudSim.init(num_user, calendar, trace_flag);
DatacenterExtended datacenter0 = createDatacenter("Datacenter_0");
/** Create a WorkflowPlanner with one schedulers. */
WorkflowPlanner wfPlanner = new WorkflowPlanner("planner_0", 1);
/** Create a WorkflowEngine. */
WorkflowEngine wfEngine = wfPlanner.getWorkflowEngine();
/**
* Create a list of VMs.The userId of a vm is basically the id of the scheduler that controls
* this vm.
*/
List<CondorVM> vmlist0 = createVM(wfEngine.getSchedulerId(0), Parameters.getVmNum());
/** Submits this list of vms to this WorkflowEngine. */
wfEngine.submitVmList(vmlist0, 0);
/** Binds the data centers with the scheduler. */
wfEngine.bindSchedulerDatacenter(datacenter0.getId(), 0);
CloudSim.startSimulation();
List<Job> outputList0 = wfEngine.getJobsReceivedList();
CloudSim.stopSimulation();
printJobList(outputList0);
} catch (Exception e) {
Log.printLine("The simulation has been terminated due to an unexpected error");
}
}
/** Creates main() to run this example */
public static void main(String[] args) {
Log.printLine("Starting CloudSimExample2...");
try {
// First step: Initialize the CloudSim package. It should be called
// before creating any entities.
int num_user = 8; // number of cloud users
Calendar calendar = Calendar.getInstance();
boolean trace_flag = false; // mean trace events
// Initialize the CloudSim library
CloudSim.init(num_user, calendar, trace_flag);
// Second step: Create Datacenters
// Datacenters are the resource providers in CloudSim. We need at list one of them to run a
// CloudSim simulation
Datacenter datacenter0 = createDatacenter("Datacenter_0");
Datacenter datacenter1 = createDatacenter("Datacenter_1");
Datacenter datacenter2 = createDatacenter("Datacenter_2");
Datacenter datacenter3 = createDatacenter("Datacenter_3");
// Third step: Create Broker
DatacenterBroker broker = createBroker();
int brokerId = broker.getId();
// Fourth step: Create one virtual machine
vmlist = new ArrayList<Vm>();
// VM description
int vmid = 0;
int mips = 250;
double costpersec = 20.0;
long size = 10000; // image size (MB)
int ram = 512; // vm memory (MB)
long bw = 1000;
int pesNumber = 1; // number of cpus
String vmm = "Xen"; // VMM name
// create two VMs
Vm vm1 =
new Vm(
vmid,
brokerId,
mips,
costpersec,
pesNumber,
ram,
bw,
size,
vmm,
new CloudletSchedulerTimeShared());
costpersec = 28.0;
mips = 450;
ram = 768;
bw = 512;
vmid++;
Vm vm2 =
new Vm(
vmid,
brokerId,
mips,
costpersec,
pesNumber,
ram,
bw,
size,
vmm,
new CloudletSchedulerTimeShared());
costpersec = 25.0;
mips = 580;
ram = 256;
bw = 768;
vmid++;
Vm vm3 =
new Vm(
vmid,
brokerId,
mips,
costpersec,
pesNumber,
ram,
bw,
size,
vmm,
new CloudletSchedulerTimeShared());
costpersec = 30.0;
mips = 300;
ram = 768;
bw = 512;
vmid++;
Vm vm4 =
new Vm(
vmid,
brokerId,
mips,
costpersec,
pesNumber,
ram,
bw,
size,
vmm,
new CloudletSchedulerTimeShared());
costpersec = 22.0;
mips = 280;
ram = 1000;
bw = 128;
vmid++;
Vm vm5 =
new Vm(
vmid,
brokerId,
mips,
costpersec,
pesNumber,
ram,
bw,
size,
vmm,
new CloudletSchedulerTimeShared());
vmid++;
costpersec = 50.0;
mips = 220;
ram = 128;
bw = 128;
// Vm vm6 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw,
// size, vmm, new CloudletSchedulerTimeShared());
// vmid++;
// costpersec=22.0;
// mips =280;
// ram = 2048;
// bw = 64;
// Vm vm7 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw,
// size, vmm, new CloudletSchedulerTimeShared());
// vmid++;
// Vm vm8 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw, size,
// vmm, new CloudletSchedulerTimeShared());
// vmid++;
// Vm vm9 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw, size,
// vmm, new CloudletSchedulerTimeShared());
// vmid++;
// Vm vm10 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw, size,
// vmm, new CloudletSchedulerTimeShared());
// vmid++;
// Vm vm11 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw, size,
// vmm, new CloudletSchedulerTimeShared());
// vmid++;
// Vm vm12 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw, size,
// vmm, new CloudletSchedulerTimeShared());
// vmid++;
// Vm vm13 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw, size,
// vmm, new CloudletSchedulerTimeShared());
// vmid++;
// Vm vm14 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw, size,
// vmm, new CloudletSchedulerTimeShared());
// vmid++;
// Vm vm15 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw, size,
// vmm, new CloudletSchedulerTimeShared());
// vmid++;
// Vm vm16 = new Vm(vmid, brokerId, mips,costpersec, pesNumber, ram, bw, size,
// vmm, new CloudletSchedulerTimeShared());
// add the VMs to the vmList
vmlist.add(vm1);
vmlist.add(vm2);
vmlist.add(vm3);
vmlist.add(vm4);
vmlist.add(vm5);
// vmlist.add(vm6);
// vmlist.add(vm7);
// vmlist.add(vm9);
// vmlist.add(vm10);
// vmlist.add(vm11);
// vmlist.add(vm12);
// vmlist.add(vm13);
// vmlist.add(vm14);
// vmlist.add(vm15);
// vmlist.add(vm16);
// submit vm list to the broker
broker.submitVmList(vmlist);
// Fifth step: Create two Cloudlets
cloudletList = new ArrayList<Cloudlet>();
// Cloudlet properties
int id = 0;
pesNumber = 1;
long length = 2500;
long fileSize = 300;
long outputSize = 450;
UtilizationModel utilizationModel = new UtilizationModelFull();
double wt = 1.0;
double wm = 0;
Cloudlet cloudlet1 =
new Cloudlet(
wt,
wm,
id,
length,
pesNumber,
fileSize,
outputSize,
utilizationModel,
utilizationModel,
utilizationModel);
cloudlet1.setUserId(brokerId);
id++;
pesNumber = 1;
length = 2800;
fileSize = 600;
outputSize = 600;
Cloudlet cloudlet2 =
new Cloudlet(
wt,
wm,
id,
length,
pesNumber,
fileSize,
outputSize,
utilizationModel,
utilizationModel,
utilizationModel);
cloudlet2.setUserId(brokerId);
id++;
pesNumber = 1;
length = 1250;
fileSize = 800;
outputSize = 800;
Cloudlet cloudlet3 =
new Cloudlet(
wt,
wm,
id,
length,
pesNumber,
fileSize,
outputSize,
utilizationModel,
utilizationModel,
utilizationModel);
cloudlet3.setUserId(brokerId);
id++;
pesNumber = 1;
length = 2480;
fileSize = 300;
outputSize = 300;
Cloudlet cloudlet4 =
new Cloudlet(
wt,
wm,
id,
length,
pesNumber,
fileSize,
outputSize,
utilizationModel,
utilizationModel,
utilizationModel);
cloudlet4.setUserId(brokerId);
id++;
pesNumber = 1;
length = 7000;
fileSize = 500;
outputSize = 500;
Cloudlet cloudlet5 =
new Cloudlet(
wt,
wm,
id,
length,
pesNumber,
fileSize,
outputSize,
utilizationModel,
utilizationModel,
utilizationModel);
cloudlet5.setUserId(brokerId);
id++;
pesNumber = 1;
length = 1500;
fileSize = 500;
outputSize = 500;
Cloudlet cloudlet6 =
new Cloudlet(
wt,
wm,
id,
length,
pesNumber,
fileSize,
outputSize,
utilizationModel,
utilizationModel,
utilizationModel);
cloudlet6.setUserId(brokerId);
id++;
pesNumber = 1;
length = 800;
fileSize = 500;
outputSize = 500;
Cloudlet cloudlet7 =
new Cloudlet(
wt,
wm,
id,
length,
pesNumber,
fileSize,
outputSize,
utilizationModel,
utilizationModel,
utilizationModel);
cloudlet7.setUserId(brokerId);
id++;
pesNumber = 1;
length = 7500;
fileSize = 500;
outputSize = 500;
Cloudlet cloudlet8 =
new Cloudlet(
wt,
wm,
id,
length,
pesNumber,
fileSize,
outputSize,
utilizationModel,
utilizationModel,
utilizationModel);
cloudlet8.setUserId(brokerId);
// add the cloudlets to the list
cloudletList.add(cloudlet1);
cloudletList.add(cloudlet2);
cloudletList.add(cloudlet3);
cloudletList.add(cloudlet4);
cloudletList.add(cloudlet5);
cloudletList.add(cloudlet6);
cloudletList.add(cloudlet7);
cloudletList.add(cloudlet8);
// submit cloudlet list to the broker
broker.submitCloudletList(cloudletList);
// bind the cloudlets to the vms. This way, the broker
// will submit the bound cloudlets only to the specific VM
// broker.bindCloudletToVm(cloudlet1.getCloudletId(),vm1.getId());
// broker.bindCloudletToVm(cloudlet2.getCloudletId(),vm2.getId());
// Sixth step: Starts the simulation
CloudSim.startSimulation();
// Final step: Print results when simulation is over
List<Cloudlet> newList = broker.getCloudletReceivedList();
CloudSim.stopSimulation();
printCloudletList(newList);
// Print the debt of each user to each datacenter
// datacenter0.printDebts();
Log.printLine("CloudSimExample2 finished!");
} catch (Exception e) {
e.printStackTrace();
Log.printLine("The simulation has been terminated due to an unexpected error");
}
}
/** Creates main() to run this example This example has only one datacenter and one storage */
public static void main(String[] args) {
try {
// First step: Initialize the WorkflowSim package.
/**
* However, the exact number of vms may not necessarily be vmNum If the data center or the
* host doesn't have sufficient resources the exact vmNum would be smaller than that. Take
* care.
*/
int vmNum = 20; // number of vms;
/** Should change this based on real physical path */
String daxPath =
"/Users/weiweich/NetBeansProjects/WorkflowSim-1.0/config/dax/Montage_100.xml";
File daxFile = new File(daxPath);
if (!daxFile.exists()) {
Log.printLine(
"Warning: Please replace daxPath with the physical path in your working environment!");
return;
}
/*
* Fault Tolerant Parameters
*/
/**
* MONITOR_JOB classifies failures based on the level of jobs; MONITOR_VM classifies failures
* based on the vm id; MOINTOR_ALL does not do any classification; MONITOR_NONE does not
* record any failiure.
*/
FailureParameters.FTCMonitor ftc_monitor = FailureParameters.FTCMonitor.MONITOR_JOB;
/** Similar to FTCMonitor, FTCFailure controls the way how we generate failures. */
FailureParameters.FTCFailure ftc_failure = FailureParameters.FTCFailure.FAILURE_JOB;
/** In this example, we have horizontal clustering and we use Dynamic Reclustering. */
FailureParameters.FTCluteringAlgorithm ftc_method =
FailureParameters.FTCluteringAlgorithm.FTCLUSTERING_DR;
/** Task failure rate for each level */
int maxLevel = 11; // most workflows we use has a maximum of 11 levels
DistributionGenerator[][] failureGenerators = new DistributionGenerator[vmNum][maxLevel];
for (int level = 0; level < maxLevel; level++) {
/*
* For simplicity, set the task failure rate of each level to be 0.1. Which means 10%
* of submitted tasks will fail. It doesn't have to be the same task
* failure rate at each level.
*/
DistributionGenerator generator =
new DistributionGenerator(
DistributionGenerator.DistributionFamily.WEIBULL, 100, 1.0, 30, 300, 0.78);
for (int vmId = 0; vmId < vmNum; vmId++) {
failureGenerators[vmId][level] = generator;
}
}
/**
* Since we are using MINMIN scheduling algorithm, the planning algorithm should be INVALID
* such that the planner would not override the result of the scheduler
*/
Parameters.SchedulingAlgorithm sch_method = Parameters.SchedulingAlgorithm.MINMIN;
Parameters.PlanningAlgorithm pln_method = Parameters.PlanningAlgorithm.INVALID;
ReplicaCatalog.FileSystem file_system = ReplicaCatalog.FileSystem.SHARED;
/** No overheads */
OverheadParameters op = new OverheadParameters(0, null, null, null, null, 0);
/** No Clustering */
ClusteringParameters.ClusteringMethod method = ClusteringParameters.ClusteringMethod.NONE;
ClusteringParameters cp = new ClusteringParameters(0, 0, method, null);
/** Initialize static parameters */
FailureParameters.init(ftc_method, ftc_monitor, ftc_failure, failureGenerators);
Parameters.init(vmNum, daxPath, null, null, op, cp, sch_method, pln_method, null, 0);
ReplicaCatalog.init(file_system);
FailureMonitor.init();
FailureGenerator.init();
// before creating any entities.
int num_user = 1; // number of grid users
Calendar calendar = Calendar.getInstance();
boolean trace_flag = false; // mean trace events
// Initialize the CloudSim library
CloudSim.init(num_user, calendar, trace_flag);
WorkflowDatacenter datacenter0 = createDatacenter("Datacenter_0");
/** Create a WorkflowPlanner with one schedulers. */
WorkflowPlanner wfPlanner = new WorkflowPlanner("planner_0", 1);
/** Create a WorkflowEngine. */
WorkflowEngine wfEngine = wfPlanner.getWorkflowEngine();
/**
* Create a list of VMs.The userId of a vm is basically the id of the scheduler that controls
* this vm.
*/
List<CondorVM> vmlist0 = createVM(wfEngine.getSchedulerId(0), Parameters.getVmNum());
/** Submits this list of vms to this WorkflowEngine. */
wfEngine.submitVmList(vmlist0, 0);
/** Binds the data centers with the scheduler. */
wfEngine.bindSchedulerDatacenter(datacenter0.getId(), 0);
CloudSim.startSimulation();
List<Job> outputList0 = wfEngine.getJobsReceivedList();
CloudSim.stopSimulation();
printJobList(outputList0);
} catch (Exception e) {
Log.printLine("The simulation has been terminated due to an unexpected error");
}
}
public static void main(String[] args) {
try {
Log.disable();
// First step: Initialize the WorkflowSim package.
/** Should change this based on real physical path */
String daxPath = "E:\\PhD\\ComplexCloudSim\\config\\dax\\Montage_1000.xml";
File daxFile = new File(daxPath);
if (!daxFile.exists()) {
Log.printLine(
"Warning: Please replace daxPath with the physical path in your working environment!");
return;
}
Parameters.PlanningAlgorithm pln_method = Parameters.PlanningAlgorithm.INVALID;
ReplicaCatalog.FileSystem file_system = ReplicaCatalog.FileSystem.SHARED;
OverheadParameters op = new OverheadParameters(0, null, null, null, null, 0);
ClusteringParameters.ClusteringMethod method = ClusteringParameters.ClusteringMethod.NONE;
ClusteringParameters cp = new ClusteringParameters(0, 0, method, null);
// For each scheduling algorithm (FCFS,RR,MinMin,MaxMin), run 100 times
for (int sche = 0; sche < 4; sche++) {
Parameters.SchedulingAlgorithm sch_method;
switch (sche) {
case 0:
sch_method = Parameters.SchedulingAlgorithm.FCFS;
break;
case 1:
sch_method = Parameters.SchedulingAlgorithm.ROUNDROBIN;
break;
case 2:
sch_method = Parameters.SchedulingAlgorithm.MINMIN;
break;
case 3:
sch_method = Parameters.SchedulingAlgorithm.MAXMIN;
break;
default:
sch_method = Parameters.SchedulingAlgorithm.FCFS;
}
for (int runs = 0; runs < numRuns; runs++) {
Parameters.init(numVMs, daxPath, null, null, op, cp, sch_method, pln_method, null, 0);
ReplicaCatalog.init(file_system);
// before creating any entities.
int num_user = 1; // number of grid users
Calendar calendar = Calendar.getInstance();
boolean trace_flag = false; // mean trace events
// Initialize the CloudSim library
CloudSim.init(num_user, calendar, trace_flag);
ComplexDatacenter datacenter0 = createDatacenter("Datacenter_0");
/** Create a WorkflowPlanner with one schedulers. */
WorkflowPlanner wfPlanner = new WorkflowPlanner("planner_0", 1);
/** Create a WorkflowEngine. */
WorkflowEngine wfEngine = wfPlanner.getWorkflowEngine();
/**
* Create a list of VMs.The userId of a vm is basically the id of the scheduler that
* controls this vm.
*/
List<ComplexVM> vmlist0 = createVM(wfEngine.getSchedulerId(0));
/** Submits this list of vms to this WorkflowEngine. */
wfEngine.submitVmList(vmlist0, 0);
/** Binds the data centers with the scheduler. */
wfEngine.bindSchedulerDatacenter(datacenter0.getId(), 0);
CloudSim.startSimulation();
List<Job> outputList0 = wfEngine.getJobsReceivedList();
CloudSim.stopSimulation();
switch (sche) {
case 0:
FCFSResult[runs] = wfEngine.getWorkflowFinishTime();
break;
case 1:
RoundRobinResult[runs] = wfEngine.getWorkflowFinishTime();
break;
case 2:
MinMinResult[runs] = wfEngine.getWorkflowFinishTime();
break;
case 3:
MaxMinResult[runs] = wfEngine.getWorkflowFinishTime();
break;
default:
FCFSResult[runs] = wfEngine.getWorkflowFinishTime();
break;
}
}
Log.enable();
Log.printLine(
"------ "
+ numVMs
+ " VMs "
+ numRuns
+ " Runs with Damage Ratio "
+ damageRatio
+ "------");
Log.printLine(">> FCFS");
printResult(FCFSResult);
Log.printLine(">> RoundRobin");
printResult(RoundRobinResult);
Log.printLine(">> MinMin");
printResult(MinMinResult);
Log.printLine(">> MaxMin");
printResult(MaxMinResult);
}
} catch (Exception e) {
Log.printLine("The simulation has been terminated due to an unexpected error");
}
}
/** Creates main() to run this example */
public static void main(String[] args) {
Log.printLine("Starting NetworkExample3...");
try {
// First step: Initialize the CloudSim package. It should be called
// before creating any entities.
int num_user = 2; // number of cloud users
Calendar calendar = Calendar.getInstance();
boolean trace_flag = false; // mean trace events
// Initialize the CloudSim library
CloudSim.init(num_user, calendar, trace_flag);
// Second step: Create Datacenters
// Datacenters are the resource providers in CloudSim. We need at list one of them to run a
// CloudSim simulation
Datacenter datacenter0 = createDatacenter("Datacenter_0");
Datacenter datacenter1 = createDatacenter("Datacenter_1");
// Third step: Create Brokers
DatacenterBroker broker1 = createBroker(1);
int brokerId1 = broker1.getId();
DatacenterBroker broker2 = createBroker(2);
int brokerId2 = broker2.getId();
// Fourth step: Create one virtual machine for each broker/user
vmlist1 = new ArrayList<Vm>();
vmlist2 = new ArrayList<Vm>();
// VM description
int vmid = 0;
long size = 10000; // image size (MB)
int mips = 250;
int ram = 512; // vm memory (MB)
long bw = 1000;
int pesNumber = 1; // number of cpus
String vmm = "Xen"; // VMM name
// create two VMs: the first one belongs to user1
Vm vm1 =
new Vm(
vmid,
brokerId1,
mips,
pesNumber,
ram,
bw,
size,
vmm,
new CloudletSchedulerTimeShared());
// the second VM: this one belongs to user2
Vm vm2 =
new Vm(
vmid,
brokerId2,
mips,
pesNumber,
ram,
bw,
size,
vmm,
new CloudletSchedulerTimeShared());
// add the VMs to the vmlists
vmlist1.add(vm1);
vmlist2.add(vm2);
// submit vm list to the broker
broker1.submitVmList(vmlist1);
broker2.submitVmList(vmlist2);
// Fifth step: Create two Cloudlets
cloudletList1 = new ArrayList<Cloudlet>();
cloudletList2 = new ArrayList<Cloudlet>();
// Cloudlet properties
int id = 0;
long length = 40000;
long fileSize = 300;
long outputSize = 300;
UtilizationModel utilizationModel = new UtilizationModelFull();
Cloudlet cloudlet1 =
new Cloudlet(
id,
length,
pesNumber,
fileSize,
outputSize,
utilizationModel,
utilizationModel,
utilizationModel);
cloudlet1.setUserId(brokerId1);
Cloudlet cloudlet2 =
new Cloudlet(
id,
length,
pesNumber,
fileSize,
outputSize,
utilizationModel,
utilizationModel,
utilizationModel);
cloudlet2.setUserId(brokerId2);
// add the cloudlets to the lists: each cloudlet belongs to one user
cloudletList1.add(cloudlet1);
cloudletList2.add(cloudlet2);
// submit cloudlet list to the brokers
broker1.submitCloudletList(cloudletList1);
broker2.submitCloudletList(cloudletList2);
// Sixth step: configure network
// load the network topology file
NetworkTopology.buildNetworkTopology("topology.brite");
// maps CloudSim entities to BRITE entities
// Datacenter0 will correspond to BRITE node 0
int briteNode = 0;
NetworkTopology.mapNode(datacenter0.getId(), briteNode);
// Datacenter1 will correspond to BRITE node 2
briteNode = 2;
NetworkTopology.mapNode(datacenter1.getId(), briteNode);
// Broker1 will correspond to BRITE node 3
briteNode = 3;
NetworkTopology.mapNode(broker1.getId(), briteNode);
// Broker2 will correspond to BRITE node 4
briteNode = 4;
NetworkTopology.mapNode(broker2.getId(), briteNode);
// Sixth step: Starts the simulation
CloudSim.startSimulation();
// Final step: Print results when simulation is over
List<Cloudlet> newList1 = broker1.getCloudletReceivedList();
List<Cloudlet> newList2 = broker2.getCloudletReceivedList();
CloudSim.stopSimulation();
Log.print("=============> User " + brokerId1 + " ");
printCloudletList(newList1);
Log.print("=============> User " + brokerId2 + " ");
printCloudletList(newList2);
// Print the debt of each user to each datacenter
datacenter0.printDebts();
datacenter1.printDebts();
Log.printLine("NetworkExample3 finished!");
} catch (Exception e) {
e.printStackTrace();
Log.printLine("Unwanted errors happen");
}
}