/** 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 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");
}
}
