我正在尝试使用CLOUDSIM在单个VM上运行500个Cloudlets，但是在每种情况下，每个Cloudlets的开始时间都相同。因此，我认为当一个作业正在执行时，另一个作业将等待，但是这里每个小云都一起开始。我不明白。请帮助我理解。我的角色不在，因此无法显示全部500个cloudlets，但这是示例。
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
最佳答案
创建CloudletSchedulerSpaceShared()时使用CloudletSchedulerTimeShared()代替VMs。