1、基于CloudSimExample4构建，两个数据中心，每个中心有一个主机，一共执行两个任务
2、工程构建如下：
3、MyCloudSim4.java源码如下：
1 package org.cloudbus.cloudsim.examples;
2
3 import java.text.DecimalFormat;
4 import java.util.ArrayList;
5 import java.util.Calendar;
6 import java.util.LinkedList;
7 import java.util.List;
8
9 import org.cloudbus.cloudsim.Cloudlet;
10 import org.cloudbus.cloudsim.CloudletSchedulerTimeShared;
11 import org.cloudbus.cloudsim.Datacenter;
12 import org.cloudbus.cloudsim.DatacenterBroker;
13 import org.cloudbus.cloudsim.DatacenterCharacteristics;
14 import org.cloudbus.cloudsim.Host;
15 import org.cloudbus.cloudsim.Log;
16 import org.cloudbus.cloudsim.Pe;
17 import org.cloudbus.cloudsim.Storage;
18 import org.cloudbus.cloudsim.UtilizationModel;
19 import org.cloudbus.cloudsim.UtilizationModelFull;
20 import org.cloudbus.cloudsim.Vm;
21 import org.cloudbus.cloudsim.VmAllocationPolicySimple;
22 import org.cloudbus.cloudsim.VmSchedulerSpaceShared;
23 import org.cloudbus.cloudsim.VmSchedulerTimeShared;
24 import org.cloudbus.cloudsim.core.CloudSim;
25 import org.cloudbus.cloudsim.provisioners.BwProvisionerSimple;
26 import org.cloudbus.cloudsim.provisioners.PeProvisionerSimple;
27 import org.cloudbus.cloudsim.provisioners.RamProvisionerSimple;
28
29 /*
30 * 两个数据中心，每个中心有一个主机，一共执行两个任务
31 */
32 public class MyCloudSim4 {
33 //虚拟机列表
34 private static List<Vm> vmlist;
35 //云任务列表
36 private static List<Cloudlet> cloudletList;
37 public static void main(String[] args) {
38 Log.printLine("Starting MyCloudSim...");
39 try{
40 //云用户数量
41 int num_user = 1;
42 //日历的字段已使用当前日期和时间初始化。
43 Calendar calendar = Calendar.getInstance();
44 //跟踪事件
45 boolean trace_flag = false;
46 //初始化CloudSim库。
47 CloudSim.init(num_user, calendar, trace_flag);
48 //第二步：创建数据中心
49 Datacenter datacenter0 = createDatacenter("Datacenter_0");
50 Datacenter datacenter1 = createDatacenter("Datacenter_1");
51 //第三步：创建代理
52 DatacenterBroker broker = createBroker();
53 int brokerId = broker.getId();
54 //第四步：创建两个个虚拟机
55 Vm vm1 = createVm(brokerId,0);
56 Vm vm2 = createVm(brokerId,1);
57 //添加到虚拟机列表
58 vmlist = new ArrayList<Vm>();
59 vmlist.add(vm1);
60 vmlist.add(vm2);
61 //提交虚拟机列表到代理
62 broker.submitVmList(vmlist);
63 //第五步：创建两个云任务，将云任务添加到列表中，将云任务列表提交给数据中心代理
64 Cloudlet cloudlet1 = createCloudlet(brokerId,0);
65 Cloudlet cloudlet2 = createCloudlet(brokerId,1);
66 //将云任务添加到列表中
67 cloudletList = new ArrayList<Cloudlet>();
68 cloudletList.add(cloudlet1);
69 cloudletList.add(cloudlet2);
70 //将云任务列表提交给代理
71 broker.submitCloudletList(cloudletList);
72 //将云任务绑定到指定虚拟机上
73 broker.bindCloudletToVm(cloudlet1.getCloudletId(),vm1.getId());
74 broker.bindCloudletToVm(cloudlet2.getCloudletId(),vm2.getId());
75 //第六步：开始模拟
76 CloudSim.startSimulation();
77 //CloudSim.stopSimulation();
78 //最后一步：模拟结束时打印结果
79 List<Cloudlet> newList = broker.getCloudletReceivedList();
80 printCloudletList(newList);
81 Log.printLine("MyCloudSim4 finished!");
82
83 }catch(Exception e){
84 e.printStackTrace();
85 Log.printLine("The simulation has been terminated due to an unexpected error");
86 }
87 }
88 //创建云任务
89 private static Cloudlet createCloudlet(int brokerId,int id){
90 //云任务属性
91 long length = 400000;
92 long fileSize = 300;
93 long outputSize = 300;
94 int pesNumber = 1;
95 UtilizationModel utilizationModel = new UtilizationModelFull();
96 Cloudlet cloudlet =new Cloudlet(id, length, pesNumber, fileSize,
97 outputSize, utilizationModel, utilizationModel,
98 utilizationModel);
99 cloudlet.setUserId(brokerId);
100 return cloudlet;
101 }
102 //创建虚拟机
103 private static Vm createVm(int brokerId,int vmid){
104 //Vm 描述
105 int mips = 500;//速率
106 long size = 10000; // 虚拟机的存储大小 (MB)
107 int ram = 512; // 虚拟机内存 (MB)
108 long bw = 1000;//虚拟机带宽
109 int pesNumber = 1; // cpu核数
110 String vmm = "Xen"; // //虚拟机监视器
111
112 Vm vm = new Vm(vmid, brokerId, mips, pesNumber, ram, bw, size, vmm, new CloudletSchedulerTimeShared());
113
114 return vm;
115 }
116 //创建代理
117 private static DatacenterBroker createBroker() {
118 DatacenterBroker broker = null;
119 try {
120 broker = new DatacenterBroker("Broker");
121 } catch (Exception e) {
122 e.printStackTrace();
123 return null;
124 }
125 return broker;
126 }
127 private static Datacenter createDatacenter2(String name){
128 List<Host> hostList = new ArrayList<Host>();
129 List<Pe> peList = new ArrayList<Pe>();
130 int mips = 2000;
131 peList.add(new Pe(0, new PeProvisionerSimple(mips)));
132 int hostId=0;
133 int ram = 2048; //host memory (MB)
134 long storage = 1000000; //host storage
135 int bw = 10000;
136 hostList.add(
137 new Host(
138 hostId,
139 new RamProvisionerSimple(ram),
140 new BwProvisionerSimple(bw),
141 storage,
142 peList,
143 new VmSchedulerSpaceShared(peList)
144 )
145 );
146 String arch = "x86"; // system architecture
147 String os = "Linux"; // operating system
148 String vmm = "Xen";
149 double time_zone = 10.0; // time zone this resource located
150 double cost = 3.0; // the cost of using processing in this resource
151 double costPerMem = 0.05; // the cost of using memory in this resource
152 double costPerStorage = 0.001; // the cost of using storage in this resource
153 double costPerBw = 0.0; // the cost of using bw in this resource
154 LinkedList<Storage> storageList = new LinkedList<Storage>(); //we are not adding SAN devices by now
155
156 DatacenterCharacteristics characteristics = new DatacenterCharacteristics(
157 arch, os, vmm, hostList, time_zone, cost, costPerMem, costPerStorage, costPerBw);
158
159
160
161 Datacenter datacenter = null;
162 try {
163 datacenter = new Datacenter(name, characteristics, new VmAllocationPolicySimple(hostList), storageList, 0);
164 } catch (Exception e) {
165 e.printStackTrace();
166 }
167
168 return datacenter;
169 }
170
171 //创建数据中心
172 private static Datacenter createDatacenter(String name) {
173
174 //1.定义主机列表
175 List<Host> hostList = new ArrayList<Host>();
176 //2.创建主机包含的PE或者CPU处理器列表，定义为MIPS速率
177 List<Pe> peList = new ArrayList<Pe>();
178 int mips = 2000;
179 //3. 创建处理器，并添加到Pe列表中
180 peList.add(new Pe(0, new PeProvisionerSimple(mips))); // 需要Pe id 和 MIPS 速率
181 // 4. 创建主机，并将其添加至主机列表
182 int hostId = 0;
183 int ram = 2048; // 主机内存 (MB)
184 long storage = 1000000; // 主机的存储空间
185 int bw = 10000;//主机带宽
186 hostList.add(
187 new Host(
188 hostId,
189 new RamProvisionerSimple(ram),//内存提供者，为虚拟机提供内存
190 new BwProvisionerSimple(bw),//带宽提供者
191 storage,
192 peList,
193 new VmSchedulerSpaceShared(peList)//空间共享的VM调度
194 )
195 );
196
197 // 5. 创建存储数据中心属性的DatacenterCharacteristics对象：架构，操作系统，机器列表，
198 // 分配策略：时间或空间共享，时区及其价格（G $ / Pe时间单位）。
199 String arch = "x86"; // 架构
200 String os = "Linux"; // 操作系统
201 String vmm = "Xen"; //虚拟机监视器
202 double time_zone = 10.0; // 此资源所在的时区
203 double cost = 3.0; // 处理器花费
204 double costPerMem = 0.05; // 内存花费
205 double costPerStorage = 0.001; // 存储花费
206 double costPerBw = 0.0; //带宽花费
207 LinkedList<Storage> storageList = new LinkedList<Storage>(); // 我们现在不添加SAN设备
208 DatacenterCharacteristics characteristics = new DatacenterCharacteristics(
209 arch, os, vmm, hostList, time_zone, cost, costPerMem,
210 costPerStorage, costPerBw);
211
212 // 6. 最后，我们需要创建一个PowerDatacenter对象。
213 Datacenter datacenter = null;
214 try {
215 datacenter = new Datacenter(name, characteristics, new VmAllocationPolicySimple(hostList), storageList, 0);
216 } catch (Exception e) {
217 e.printStackTrace();
218 }
219
220 return datacenter;
221 }
222 private static void printCloudletList(List<Cloudlet> list) {
223 int size = list.size();
224 Cloudlet cloudlet;
225
226 String indent = " ";
227 Log.printLine();
228 Log.printLine("========== OUTPUT ==========");
229 Log.printLine("Cloudlet ID" + indent + "STATUS" + indent
230 + "Data center ID" + indent + "VM ID" + indent + "Time" + indent
231 + "Start Time" + indent + "Finish Time");
232
233 DecimalFormat dft = new DecimalFormat("###.##");
234 for (int i = 0; i < size; i++) {
235 cloudlet = list.get(i);
236 Log.print(indent + cloudlet.getCloudletId() + indent + indent);
237
238 if (cloudlet.getCloudletStatus() == Cloudlet.SUCCESS) {
239 Log.print("SUCCESS");
240
241 Log.printLine(indent + indent + cloudlet.getResourceId()
242 + indent + indent + indent + cloudlet.getVmId()
243 + indent + indent
244 + dft.format(cloudlet.getActualCPUTime()) + indent
245 + indent + dft.format(cloudlet.getExecStartTime())
246 + indent + indent
247 + dft.format(cloudlet.getFinishTime()));
248 }
249 }
250 }
251 }
MyCloudSim4.java
4、执行效果如下：
标签：仿真,indent,org,cloudsim,CloudSimExample4,new,import,cloudbus From： https://www.cnblogs.com/holly8/p/17453077.html