/**
* Process a cloudlet (job) return event.
*
* @param ev a SimEvent object
* @pre ev != $null
* @post $none
*/
@Override
protected void processCloudletReturn(SimEvent ev) {
Cloudlet cloudlet = (Cloudlet) ev.getData();
Job job = (Job) cloudlet;
/** Generate a failure if failure rate is not zeros. */
FailureGenerator.generate(job);
getCloudletReceivedList().add(cloudlet);
getCloudletSubmittedList().remove(cloudlet);
CondorVM vm = (CondorVM) getVmsCreatedList().get(cloudlet.getVmId());
// so that this resource is released
vm.setState(WorkflowSimTags.VM_STATUS_IDLE);
double delay = 0.0;
if (Parameters.getOverheadParams().getPostDelay() != null) {
delay = Parameters.getOverheadParams().getPostDelay(job);
}
schedule(this.workflowEngineId, delay, CloudSimTags.CLOUDLET_RETURN, cloudlet);
cloudletsSubmitted--;
// not really update right now, should wait 1 s until many jobs have returned
schedule(this.getId(), 0.0, WorkflowSimTags.CLOUDLET_UPDATE);
}
/**
* Update a cloudlet (job)
*
* @param ev a simEvent object
*/
protected void processCloudletUpdate(SimEvent ev) {
BaseSchedulingAlgorithm scheduler = getScheduler(Parameters.getSchedulingAlgorithm());
scheduler.setCloudletList(getCloudletList());
scheduler.setVmList(getVmsCreatedList());
try {
scheduler.run();
} catch (Exception e) {
Log.printLine("Error in configuring scheduler_method");
e.printStackTrace();
}
List<Cloudlet> scheduledList = scheduler.getScheduledList();
for (Cloudlet cloudlet : scheduledList) {
int vmId = cloudlet.getVmId();
double delay = 0.0;
if (Parameters.getOverheadParams().getQueueDelay() != null) {
delay = Parameters.getOverheadParams().getQueueDelay(cloudlet);
}
schedule(getVmsToDatacentersMap().get(vmId), delay, CloudSimTags.CLOUDLET_SUBMIT, cloudlet);
}
getCloudletList().removeAll(scheduledList);
getCloudletSubmittedList().addAll(scheduledList);
cloudletsSubmitted += scheduledList.size();
}
/**
* Initialize a WorkflowParser
*
* @param userId the user id. Currently we have just checked single user mode
*/
public WorkflowParser(int userId) {
this.userId = userId;
this.mName2Task = new HashMap<String, Task>();
this.daxPath = Parameters.getDaxPath();
this.daxPaths = Parameters.getDAXPaths();
this.jobIdStartsFrom = 1;
setTaskList(new ArrayList<Task>());
}
/** The main function */
@Override
public void run() {
for (Iterator it = getTaskList().iterator(); it.hasNext(); ) {
Task task = (Task) it.next();
double duration = task.getCloudletLength() / 1000;
for (int i = 0; i < task.getParentList().size(); i++) {
Task parent = task.getParentList().get(i);
}
for (int i = 0; i < task.getChildList().size(); i++) {
Task child = task.getChildList().get(i);
}
int vmNum = getVmList().size();
/** Randomly choose a vm */
Random random = new Random((long) duration);
int vmId = random.nextInt(vmNum);
CondorVM vm = (CondorVM) getVmList().get(vmId);
// This shows the cpu capability of a vm
double mips = vm.getMips();
task.setVmId(vm.getId());
long deadline = Parameters.getDeadline();
}
}
/** Parse a DAX file with jdom */
private void parseXmlFile(String path) {
try {
SAXBuilder builder = new SAXBuilder();
// parse using builder to get DOM representation of the XML file
Document dom = builder.build(new File(path));
Element root = dom.getRootElement();
List list = root.getChildren();
for (Iterator it = list.iterator(); it.hasNext(); ) {
Element node = (Element) it.next();
if (node.getName().toLowerCase().equals("job")) {
long length = 0;
String nodeName = node.getAttributeValue("id");
String nodeType = node.getAttributeValue("name");
/**
* capture runtime. If not exist, by default the runtime is 0.1. Otherwise CloudSim would
* ignore this task. BUG/#11
*/
double runtime = 0.1;
if (node.getAttributeValue("runtime") != null) {
String nodeTime = node.getAttributeValue("runtime");
runtime = 1000 * Double.parseDouble(nodeTime);
if (runtime < 100) {
runtime = 100;
}
length = (long) runtime;
} else {
Log.printLine("Cannot find runtime for " + nodeName + ",set it to be 0");
}
// multiple the scale, by default it is 1.0
length *= Parameters.getRuntimeScale();
List fileList = node.getChildren();
List mFileList = new ArrayList<org.cloudbus.cloudsim.File>();
for (Iterator itf = fileList.iterator(); itf.hasNext(); ) {
Element file = (Element) itf.next();
if (file.getName().toLowerCase().equals("uses")) {
String fileName = file.getAttributeValue("name"); // DAX version 3.3
if (fileName == null) {
fileName = file.getAttributeValue("file"); // DAX version 3.0
}
if (fileName == null) {
Log.print("Error in parsing xml");
}
String inout = file.getAttributeValue("link");
double size = 0.0;
String fileSize = file.getAttributeValue("size");
if (fileSize != null) {
size = Double.parseDouble(fileSize) /*/ 1024*/;
} else {
Log.printLine("File Size not found for " + fileName);
}
/** a bug of cloudsim, size 0 causes a problem. 1 is ok. */
if (size == 0) {
size++;
}
/** Sets the file type 1 is input 2 is output */
int type = 0;
if (inout.equals("input")) {
type = Parameters.FileType.INPUT.value;
} else if (inout.equals("output")) {
type = Parameters.FileType.OUTPUT.value;
} else {
Log.printLine("Parsing Error");
}
org.cloudbus.cloudsim.File tFile;
/*
* Already exists an input file (forget output file)
*/
if (size < 0) {
/*
* Assuming it is a parsing error
*/
size = 0 - size;
Log.printLine("Size is negative, I assume it is a parser error");
}
if (type == Parameters.FileType.OUTPUT.value) {
/** It is good that CloudSim does tell whether a size is zero */
tFile = new org.cloudbus.cloudsim.File(fileName, (int) size);
} else if (ReplicaCatalog.containsFile(fileName)) {
tFile = ReplicaCatalog.getFile(fileName);
} else {
tFile = new org.cloudbus.cloudsim.File(fileName, (int) size);
ReplicaCatalog.setFile(fileName, tFile);
}
tFile.setType(type);
mFileList.add(tFile);
}
}
Task task;
// In case of multiple workflow submission. Make sure the jobIdStartsFrom is consistent.
synchronized (this) {
task = new Task(this.jobIdStartsFrom, length);
this.jobIdStartsFrom++;
}
task.setType(nodeType);
task.setUserId(userId);
mName2Task.put(nodeName, task);
for (Iterator itm = mFileList.iterator(); itm.hasNext(); ) {
org.cloudbus.cloudsim.File file = (org.cloudbus.cloudsim.File) itm.next();
task.addRequiredFile(file.getName());
}
task.setFileList(mFileList);
this.getTaskList().add(task);
/** Add dependencies info. */
} else if (node.getName().toLowerCase().equals("child")) {
List pList = node.getChildren();
String childName = node.getAttributeValue("ref");
if (mName2Task.containsKey(childName)) {
Task childTask = (Task) mName2Task.get(childName);
for (Iterator itc = pList.iterator(); itc.hasNext(); ) {
Element parent = (Element) itc.next();
String parentName = parent.getAttributeValue("ref");
if (mName2Task.containsKey(parentName)) {
Task parentTask = (Task) mName2Task.get(parentName);
parentTask.addChild(childTask);
childTask.addParent(parentTask);
}
}
}
}
}
/** If a task has no parent, then it is root task. */
ArrayList roots = new ArrayList<Task>();
for (Iterator it = mName2Task.values().iterator(); it.hasNext(); ) {
Task task = (Task) it.next();
task.setDepth(0);
if (task.getParentList().isEmpty()) {
roots.add(task);
}
}
/** Add depth from top to bottom. */
for (Iterator it = roots.iterator(); it.hasNext(); ) {
Task task = (Task) it.next();
setDepth(task, 1);
}
/** Clean them so as to save memory. Parsing workflow may take much memory */
this.mName2Task.clear();
} catch (JDOMException jde) {
Log.printLine("JDOM Exception;Please make sure your dax file is valid");
} catch (IOException ioe) {
Log.printLine("IO Exception;Please make sure dax.path is correctly set in your config file");
} catch (Exception e) {
e.printStackTrace();
Log.printLine("Parsing Exception");
}
}
/** 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");
}
}
@Override
public void run() {
if (clusterNum > 0) {
for (Iterator it = getTaskList().iterator(); it.hasNext(); ) {
Task task = (Task) it.next();
TaskSet set = new TaskSet();
set.addTask(task);
mTask2TaskSet.put(task, set);
}
}
remove();
updateTaskSetDependencies();
printMetrics();
String code = Parameters.getClusteringParameters().getCode();
Map<Integer, ArrayList<TaskSet>> map = getCurrentTaskSetAtLevels();
if (code != null) {
for (char c : code.toCharArray()) {
switch (c) {
case 'v':
// verticalClustering();
VerticalBalancing v = new VerticalBalancing(map, this.mTask2TaskSet, this.clusterNum);
v.run();
break;
case 'c':
// childAwareHorizontalClustering();
ChildAwareHorizontalClustering ch =
new ChildAwareHorizontalClustering(map, this.mTask2TaskSet, this.clusterNum);
ch.run();
updateTaskSetDependencies();
break;
case 'r':
// horizontalRuntimeBalancing();
HorizontalRuntimeBalancing r =
new HorizontalRuntimeBalancing(map, this.mTask2TaskSet, this.clusterNum);
r.run();
updateTaskSetDependencies();
break;
case 'i':
HorizontalImpactBalancing i =
new HorizontalImpactBalancing(map, this.mTask2TaskSet, this.clusterNum);
i.run();
break;
case 'd':
HorizontalDistanceBalancing d =
new HorizontalDistanceBalancing(map, this.mTask2TaskSet, this.clusterNum);
d.run();
break;
case 'h':
HorizontalRandomClustering h =
new HorizontalRandomClustering(map, this.mTask2TaskSet, this.clusterNum);
h.run();
break;
default:
break;
}
}
printMetrics();
}
printOut();
Collection sets = mTask2TaskSet.values();
for (Iterator it = sets.iterator(); it.hasNext(); ) {
TaskSet set = (TaskSet) it.next();
if (!set.hasChecked) {
set.hasChecked = true;
addTasks2Job(set.getTaskList());
}
}
// a good habit
cleanTaskSetChecked();
updateDependencies();
addClustDelay();
recover();
}
/** 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");
}
}
/** The main function */
@Override
public void run() {
double[][] bandwidths = Parameters.getBandwidths();
int vmNum = getVmList().size();
int taskNum = getTaskList().size();
double[] availableTime = new double[vmNum];
// cloudlet id starts from 1
double[][] earliestStartTime = new double[taskNum + 1][vmNum];
double[][] earliestFinishTime = new double[taskNum + 1][vmNum];
int[] allocation = new int[taskNum + 1];
List<Task> taskList = new ArrayList<Task>(getTaskList());
List<Task> readyList = new ArrayList<Task>();
while (!taskList.isEmpty()) {
readyList.clear();
for (Task task : taskList) {
boolean ready = true;
for (Task parent : task.getParentList()) {
if (taskList.contains(parent)) {
ready = false;
break;
}
}
if (ready) {
readyList.add(task);
}
}
taskList.removeAll(readyList);
// schedule readylist
for (Task task : readyList) {
long[] fileSizes = new long[task.getParentList().size()];
int parentIndex = 0;
for (Task parent : task.getParentList()) {
long fileSize = 0;
for (Iterator fileIter = task.getFileList().iterator(); fileIter.hasNext(); ) {
File file = (File) fileIter.next();
if (file.getType() == 1) {
for (Iterator fileIter2 = parent.getFileList().iterator(); fileIter2.hasNext(); ) {
File file2 = (File) fileIter2.next();
if (file2.getType() == 2 && file2.getName().equals(file.getName())) {
fileSize += file.getSize();
}
}
}
}
fileSizes[parentIndex] = fileSize;
parentIndex++;
}
double minTime = Double.MAX_VALUE;
int minTimeIndex = 0;
for (int vmIndex = 0; vmIndex < getVmList().size(); vmIndex++) {
Vm vm = (Vm) getVmList().get(vmIndex);
double startTime = availableTime[vm.getId()];
parentIndex = 0;
for (Task parent : task.getParentList()) {
int allocatedVmId = allocation[parent.getCloudletId()];
double actualFinishTime = earliestFinishTime[parent.getCloudletId()][allocatedVmId];
double communicationTime =
fileSizes[parentIndex] / bandwidths[allocatedVmId][vm.getId()];
if (actualFinishTime + communicationTime > startTime) {
startTime = actualFinishTime + communicationTime;
}
parentIndex++;
}
earliestStartTime[task.getCloudletId()][vm.getId()] = startTime;
double runtime = task.getCloudletLength() / vm.getMips();
earliestFinishTime[task.getCloudletId()][vm.getId()] = runtime + startTime;
if (runtime + startTime < minTime) {
minTime = runtime + startTime;
minTimeIndex = vmIndex;
}
}
allocation[task.getCloudletId()] =
minTimeIndex; // we do not really need it use task.getVmId
task.setVmId(minTimeIndex);
availableTime[minTimeIndex] = minTime;
}
}
}
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");
}
}