我正在尝试使用CLOUDSIM在单个VM上运行500个Cloudlet，但在每种情况下，每个cloudlet的START TIME都是相同的。所以我想当一个工作正在执行时，另一个工作会等待，但是这里每个cloudlet都在一起开始。我没有得到它。请帮我理解。我在这里没有角色所以我不能显示所有500个cloudlets，但这里是样本。
package org.cloudbus.cloudsim.examples;
import java.text.DecimalFormat;
import java.util.ArrayList;
import java.util.Calendar;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import org.cloudbus.cloudsim.Cloudlet;
import org.cloudbus.cloudsim.CloudletSchedulerTimeShared;
import org.cloudbus.cloudsim.Datacenter;
import org.cloudbus.cloudsim.DatacenterBroker;
import org.cloudbus.cloudsim.DatacenterCharacteristics;
import org.cloudbus.cloudsim.Host;
import org.cloudbus.cloudsim.Log;
import org.cloudbus.cloudsim.Pe;
import org.cloudbus.cloudsim.Storage;
import org.cloudbus.cloudsim.UtilizationModel;
import org.cloudbus.cloudsim.UtilizationModelFull;
import org.cloudbus.cloudsim.Vm;
import org.cloudbus.cloudsim.VmAllocationPolicySimple;
import org.cloudbus.cloudsim.VmSchedulerTimeShared;
import org.cloudbus.cloudsim.core.CloudSim;
import org.cloudbus.cloudsim.provisioners.BwProvisionerSimple;
import org.cloudbus.cloudsim.provisioners.PeProvisionerSimple;
import org.cloudbus.cloudsim.provisioners.RamProvisionerSimple;
import sun.font.CreatedFontTracker;
/** Here Cloudlet number = 2 & VM Number = 1 **/
public class MyExample2 {
private static List<Cloudlet> cloudletList;
private static List<Vm> vmlist;
public static void main(String args[]) {
Log.printLine("Starting MyExample2");
try {
int user_no = 1; // here we have 2 user so we will use 2 cloudlets
Calendar cal = Calendar.getInstance();
boolean traceFlag = false;
//Initialize cloudsim library
CloudSim.init(user_no, cal, traceFlag);
//datacenter creation
Datacenter center_0 = create_Datacenter("center_0");//creat_Datacenter("") is user defined method
//creat broker
DatacenterBroker broker = create_Broker();//creat_Broker() is user defined
int brokerid = broker.getId();
//creation of VM
vmlist = new ArrayList<Vm>();
// VM description
int vmid = 0;
int mips = 1000;
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
/*int vmid2 = 1;
int mips2 = 1000;
long size2 = 10000; // image size (MB)
int ram2 = 512; // vm memory (MB)
long bw2 = 1000;
int pesNumber2 = 1; // number of cpus
String vmm2 = "Xen"; // VMM name*/
// create VM
Vm vm = new Vm(vmid, brokerid, mips, pesNumber, ram, bw, size, vmm, new CloudletSchedulerTimeShared());
//Vm vm2 = new Vm(vmid2, brokerid, mips2, pesNumber2, ram2, bw2, size2, vmm2, new CloudletSchedulerTimeShared());
//add the VM in VM list
vmlist.add(vm);
//vmlist.add(vm2);
//submit the VM list to the broker
broker.submitVmList(vmlist);//<-----------WHY WE DOING THIS-------------<<<<<
//description of 2 cloudlets
//creation of CloudLet1
int id1 = 0;
long length1 = 40000;//Time varies with cloudlet length
long filesize1 = 300;
long outputsize1 = 300;
UtilizationModel UM1 = new UtilizationModelFull();//
//creation of CloudLet2
int id2 = 1;
long length2 = 1500;
long filesize2 = 100;
long outputsize2 = 300;
UtilizationModel UM2 = new UtilizationModelFull();//
//finalizing above to cloudlets
Cloudlet cloudlet1 = new Cloudlet(id1, length1, pesNumber, filesize1, outputsize1, UM1, UM1, UM1);
cloudlet1.setUserId(brokerid);
Cloudlet cloudlet2 = new Cloudlet(id2, length2, pesNumber, filesize2, outputsize2, UM2, UM2, UM2);
cloudlet2.setUserId(brokerid);
ArrayList<Cloudlet> clet = new ArrayList<Cloudlet>();//Listing the cloudlets in a List to creat more cloudlets
id2++;
for(int i=id2; i<=500; i++){
Cloudlet cloudlet = new Cloudlet(i, length2, pesNumber, filesize2, outputsize2, UM2, UM2, UM2);
cloudlet.setUserId(brokerid);
clet.add(cloudlet);
}
cloudletList = new ArrayList<Cloudlet>();
//adding cloudlets to cloudletlist
cloudletList.add(cloudlet1);
cloudletList.add(cloudlet2);
Iterator<Cloudlet> ctr = clet.iterator();
while(ctr.hasNext()) {
cloudletList.add(ctr.next());
}
//submit cloudlet to 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(),vm.getId());
//broker.bindCloudletToVm(cloudlet2.getCloudletId(),vm2.getId());
Iterator<Cloudlet> itr = cloudletList.iterator();
//getting file size
while(itr.hasNext()){
System.out.println("***************Size*************");
System.out.println(itr.next().getCloudletFileSize());
System.out.println("***************Size*************");
}
//start SIMULATION
CloudSim.startSimulation();
//Final step: Print results when simulation is over
List<Cloudlet> newList = broker.getCloudletReceivedList();//check this method
CloudSim.stopSimulation();
printCloudletList(newList);
}
catch(Exception e) {
e.printStackTrace();
Log.printLine("Unwanted errors happen");
}
}
/**
* Creates the datacenter.
*
* @param name the name
*
* @return the datacenter
*/
private static Datacenter create_Datacenter(String name) {
// Here are the steps needed to create a PowerDatacenter:
// 1. We need to create a list to store
// our machine
List<Host> hostList = new ArrayList<Host>();
// 2. A Machine contains one or more PEs or CPUs/Cores.
// In this example, it will have only one core.
List<Pe> peList = new ArrayList<Pe>();
int mips = 2000;
// 3. Create PEs and add these into a list.
peList.add(new Pe(0, new PeProvisionerSimple(mips))); // need to store Pe id and MIPS Rating
// 4. Create Host with its id and list of PEs and add them to the list
// of machines
int hostId = 0;
int ram = 2048; // host memory (MB)
long storage = 1000000; // host storage
int bw = 10000;
hostList.add(
new Host(
hostId,
new RamProvisionerSimple(ram),
new BwProvisionerSimple(bw),
storage,
peList,
new VmSchedulerTimeShared(peList)
)
); // This is our machine
// 5. Create a DatacenterCharacteristics object that stores the
// properties of a data center: architecture, OS, list of
// Machines, allocation policy: time- or space-shared, time zone
// and its price (G$/Pe time unit).
String arch = "x86"; // system architecture
String os = "Linux"; // operating system
String vmm = "Xen";
double time_zone = 10.0; // time zone this resource located
double cost = 3.0; // the cost of using processing in this resource
double costPerMem = 0.05; // the cost of using memory in this resource
double costPerStorage = 0.001; // the cost of using storage in this
// resource
double costPerBw = 0.0; // the cost of using bw in this resource
LinkedList<Storage> storageList = new LinkedList<Storage>(); // we are not adding SAN
// devices by now
DatacenterCharacteristics characteristics = new DatacenterCharacteristics(
arch, os, vmm, hostList, time_zone, cost, costPerMem,
costPerStorage, costPerBw);
// 6. Finally, we need to create a PowerDatacenter object.
Datacenter datacenter = null;
try {
datacenter = new Datacenter(name, characteristics, new VmAllocationPolicySimple(hostList), storageList, 0);
} catch (Exception e) {
e.printStackTrace();
}
return datacenter;
}
// We strongly encourage users to develop their own broker policies, to
// submit vms and cloudlets according
// to the specific rules of the simulated scenario
/**
* Creates the broker.
*
* @return the datacenter broker
*/
private static DatacenterBroker create_Broker() {
DatacenterBroker broker = null;
try {
broker = new DatacenterBroker("Broker");
} catch (Exception e) {
e.printStackTrace();
return null;
}
return broker;
}
/**
* Prints the Cloudlet objects.
*
* @param list list of Cloudlets
*/
private static void printCloudletList(List<Cloudlet> list) {
int size = list.size();
Cloudlet cloudlet;
String indent = " ";
Log.printLine();
Log.printLine("========== OUTPUT ==========");
Log.printLine("Cloudlet ID" + indent + "STATUS" + indent
+ "Data center ID" + indent + "VM ID" + indent + "Time" + indent
+ "Start Time" + indent + "Finish Time");
DecimalFormat dft = new DecimalFormat("###.##");
for (int i = 0; i < size; i++) {
cloudlet = list.get(i);
Log.print(indent + cloudlet.getCloudletId() + indent + indent);
if (cloudlet.getCloudletStatus() == Cloudlet.SUCCESS) {
Log.print("SUCCESS");
Log.printLine(indent + indent + cloudlet.getResourceId()
+ indent + indent + indent + cloudlet.getVmId()
+ indent + indent
+ dft.format(cloudlet.getActualCPUTime()) + indent
+ indent + dft.format(cloudlet.getExecStartTime())
+ indent + indent
+ dft.format(cloudlet.getFinishTime()) + indent + indent + indent + cloudlet.getWaitingTime() + indent + indent + cloudlet.getSubmissionTime());
}
}
}
}
========== OUTPUT ========== Cloudlet ID STATUS Data center ID VM ID Time Start Time Finish Time 1 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 2 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 3 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 4 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 5 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 6 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 7 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 8 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 9 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 10 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 11 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 12 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 13 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 14 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 15 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 16 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 17 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 18 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 19 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 20 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 21 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 22 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 23 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 24 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 25 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 26 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 27 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 28 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 29 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 30 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 31 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 32 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 33 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 34 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 35 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 36 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 37 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 38 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 39 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 40 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 41 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 42 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 43 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 44 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 45 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 46 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 47 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 48 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 49 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 50 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 51 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 52 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 53 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 54 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 55 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 56 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 57 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 58 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 59 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 60 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 61 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 62 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 63 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 64 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 65 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 66 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 67 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 68 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 69 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 70 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 71 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 72 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 73 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 74 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 75 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 76 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 77 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 78 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 79 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 80 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 81 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 82 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 83 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 84 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 85 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 86 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 87 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 88 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 89 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 90 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 91 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 92 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 93 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 94 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 95 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 96 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 97 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 98 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 99 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 100 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 101 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 102 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 103 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 104 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 105 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 106 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 107 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 108 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 109 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 110 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 111 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 112 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 113 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 114 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 115 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 116 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 117 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 118 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 119 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 120 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 121 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 122 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 123 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 124 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 125 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 126 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 127 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 128 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 129 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 130 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 131 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 132 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 133 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 134 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 135 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 136 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 137 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 138 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 139 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 140 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 141 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 142 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 143 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 144 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 145 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 146 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 147 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 148 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 149 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 150 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 151 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 152 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 153 SUCCESS 2 0 751 0.1 751.1 0.0 0.1 154 SUCCESS 2 0 751 0.1 751.1 0.0 0.1
答案 0 :(得分：3)
CloudletSchedulerSpaceShared()时，使用CloudletSchedulerTimeShared()代替VMs。