使用cloudsim进行云计算仿真步骤_公司分析中最重要的是

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CloudSimExample1展示如何创建一个只包含一个主机的数据中心，并且在其上运行一个云任务。

首先附上CloudSimExample1全部代码：

package org.cloudbus.cloudsim.examples;
/*
* Title:        CloudSim Toolkit
* Description:  CloudSim (Cloud Simulation) Toolkit for Modeling and Simulation
*               of Clouds
* Licence:      GPL - http://www.gnu.org/copyleft/gpl.html
*
* Copyright (c) 2009, The University of Melbourne, Australia
*/
import java.text.DecimalFormat;
import java.util.ArrayList;
import java.util.Calendar;
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;
/**
* A simple example showing how to create a data center with one host and run one cloudlet on it.
*/
public class CloudSimExample1 {
/** The cloudlet list. */
private static List<Cloudlet> cloudletList;
/** The vmlist. */
private static List<Vm> vmlist;
/**
* Creates main() to run this example.
*
* @param args the args
*/
@SuppressWarnings("unused")
public static void main(String[] args) {
Log.printLine("Starting CloudSimExample1...");
try {
// First step: Initialize the CloudSim package. It should be called before creating any entities.
int num_user = 1; // number of cloud users
Calendar calendar = Calendar.getInstance(); // Calendar whose fields have been initialized with the current date and time.
boolean trace_flag = false; // trace events
/* Comment Start - Dinesh Bhagwat 
* Initialize the CloudSim library. 
* init() invokes initCommonVariable() which in turn calls initialize() (all these 3 methods are defined in CloudSim.java).
* initialize() creates two collections - an ArrayList of SimEntity Objects (named entities which denote the simulation entities) and 
* a LinkedHashMap (named entitiesByName which denote the LinkedHashMap of the same simulation entities), with name of every SimEntity as the key.
* initialize() creates two queues - a Queue of SimEvents (future) and another Queue of SimEvents (deferred). 
* initialize() creates a HashMap of of Predicates (with integers as keys) - these predicates are used to select a particular event from the deferred queue. 
* initialize() sets the simulation clock to 0 and running (a boolean flag) to false.
* Once initialize() returns (note that we are in method initCommonVariable() now), a CloudSimShutDown (which is derived from SimEntity) instance is created 
* (with numuser as 1, its name as CloudSimShutDown, id as -1, and state as RUNNABLE). Then this new entity is added to the simulation 
* While being added to the simulation, its id changes to 0 (from the earlier -1). The two collections - entities and entitiesByName are updated with this SimEntity.
* the shutdownId (whose default value was -1) is 0    
* Once initCommonVariable() returns (note that we are in method init() now), a CloudInformationService (which is also derived from SimEntity) instance is created 
* (with its name as CloudInformatinService, id as -1, and state as RUNNABLE). Then this new entity is also added to the simulation. 
* While being added to the simulation, the id of the SimEntitiy is changed to 1 (which is the next id) from its earlier value of -1. 
* The two collections - entities and entitiesByName are updated with this SimEntity.
* the cisId(whose default value is -1) is 1
* Comment End - Dinesh Bhagwat 
*/
CloudSim.init(num_user, calendar, trace_flag);
// Second step: Create Datacenters
// Datacenters are the resource providers in CloudSim. We need at
// list one of them to run a CloudSim simulation
Datacenter datacenter0 = createDatacenter("Datacenter_0");
// Third step: Create Broker
DatacenterBroker broker = createBroker();
int brokerId = broker.getId();
// Fourth step: Create one virtual machine
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
// create VM
Vm vm = new Vm(vmid, brokerId, mips, pesNumber, ram, bw, size, vmm, new CloudletSchedulerTimeShared());
// add the VM to the vmList
vmlist.add(vm);
// submit vm list to the broker
broker.submitVmList(vmlist);
// Fifth step: Create one Cloudlet
cloudletList = new ArrayList<Cloudlet>();
// Cloudlet properties
int id = 0;
long length = 400000;
long fileSize = 300;
long outputSize = 300;
UtilizationModel utilizationModel = new UtilizationModelFull();
Cloudlet cloudlet = 
new Cloudlet(id, length, pesNumber, fileSize, 
outputSize, utilizationModel, utilizationModel, 
utilizationModel);
cloudlet.setUserId(brokerId);
cloudlet.setVmId(vmid);
// add the cloudlet to the list
cloudletList.add(cloudlet);
// submit cloudlet list to the broker
broker.submitCloudletList(cloudletList);
// Sixth step: Starts the simulation
CloudSim.startSimulation();
CloudSim.stopSimulation();
//Final step: Print results when simulation is over
List<Cloudlet> newList = broker.getCloudletReceivedList();
printCloudletList(newList);
Log.printLine("CloudSimExample1 finished!");
} catch (Exception e) {
e.printStackTrace();
Log.printLine("Unwanted errors happen");
}
}
/**
* Creates the datacenter.
*
* @param name the name
*
* @return the datacenter
*/
private static Datacenter createDatacenter(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 = 1000;
// 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 createBroker() {
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()));
}
}
}
}

接下来进行详细分析：

package org.cloudbus.cloudsim.examples;

这行代码说明该java文件所处包的位置。

import java.text.DecimalFormat;
import java.util.ArrayList;
import java.util.Calendar;
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;

这部分代码是引用接口部分：分为俩部分，一部分是引用java自身的，例如队列，日历等；另一部分是引用cloudsim的，例如存储，数据中心等。

/** The cloudlet list. */
private static List<Cloudlet> cloudletList;
/** The vmlist. */
private static List<Vm> vmlist;

这段代码声明了俩个域，分别是cloudletlist和vmlist，分别是云任务队列和虚拟机队列。

接下来是主函数部分：

public static void main(String[] args) {
Log.printLine("Starting CloudSimExample1...");

                //输出这一行“Starting CloudSimExample1...”代表main（）函数开始执行。
try {
// First step: Initialize the CloudSim package. It should be called before creating any entities.
int num_user = 1; // number of cloud users//云用户数量，建立只有一个云用户的实例。
Calendar calendar = Calendar.getInstance(); // Calendar whose fields have been initialized with the current date and time.//日历直接调用。
boolean trace_flag = false; // trace events//设置标志位。
CloudSim.init(num_user, calendar, trace_flag);//云用户数量，建立只有一个云用户的实例。
Calendar calendar = Calendar.getInstance(); // Calendar whose fields have been initialized with the current date and time.//日历直接调用。
boolean trace_flag = false; // trace events//设置标志位。
CloudSim.init(num_user, calendar, trace_flag);

                         //第一步：初始化cloudsim包（在创建数据中心的实例前必须进行初始化cloudsim包），直接调用CloudSim.init()函数，是个静态方法，有三个参数。 
// Second step: Create Datacenters
// Datacenters are the resource providers in CloudSim. We need at
// list one of them to run a CloudSim simulation
Datacenter datacenter0 = createDatacenter("Datacenter_0");//第一步：初始化cloudsim包（在创建数据中心的实例前必须进行初始化cloudsim包），直接调用CloudSim.init()函数，是个静态方法，有三个参数。 
// Second step: Create Datacenters
// Datacenters are the resource providers in CloudSim. We need at
// list one of them to run a CloudSim simulation
Datacenter datacenter0 = createDatacenter("Datacenter_0");

 //第二步：创建数据中心，此处只需要创建，不需要调用，后续继续研究。 
// Third step: Create Broker
DatacenterBroker broker = createBroker();
int brokerId = broker.getId();
// Third step: Create Broker
DatacenterBroker broker = createBroker();
int brokerId = broker.getId();

                       //第三步：创建代理，一个代理负责代表一个用户，用来提交虚拟机列表和云任务列表。
// Fourth step: Create one virtual machine
vmlist = new ArrayList<Vm>();//第三步：创建代理，一个代理负责代表一个用户，用来提交虚拟机列表和云任务列表。
// Fourth step: Create one virtual machine
vmlist = new ArrayList<Vm>();

                        //第四步：创建虚拟机VM，指定计算能力（用mips表示），内存，带宽，CPU数等，并添加到虚拟机列表，让代理提交。
// VM description//对虚拟机参数进行描述，包括虚拟机id，mips，虚拟机内存，带宽，CPU数，vmm名字等。
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
// create VM//利用之前声明的参数创建虚拟机。
Vm vm = new Vm(vmid, brokerId, mips, pesNumber, ram, bw, size, vmm, new CloudletSchedulerTimeShared());
// add the VM to the vmList//将创建好的虚拟机添加到虚拟机列表。
vmlist.add(vm);
// submit vm list to the broker//将虚拟机列表提交给代理。
broker.submitVmList(vmlist);
// Fifth step: Create one Cloudlet
cloudletList = new ArrayList<Cloudlet>(); //第四步：创建虚拟机VM，指定计算能力（用mips表示），内存，带宽，CPU数等，并添加到虚拟机列表，让代理提交。
// VM description//对虚拟机参数进行描述，包括虚拟机id，mips，虚拟机内存，带宽，CPU数，vmm名字等。
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
// create VM//利用之前声明的参数创建虚拟机。
Vm vm = new Vm(vmid, brokerId, mips, pesNumber, ram, bw, size, vmm, new CloudletSchedulerTimeShared());
// add the VM to the vmList//将创建好的虚拟机添加到虚拟机列表。
vmlist.add(vm);
// submit vm list to the broker//将虚拟机列表提交给代理。
broker.submitVmList(vmlist);
// Fifth step: Create one Cloudlet
cloudletList = new ArrayList<Cloudlet>();

                        //第五步：创建云任务，指定云任务的参数（云任务ID，长度，文件大小，输出大小，使用模式），其中length指的是MIPS数（指令数）。将云任务添加到云任务列表，并提交给代理。
// Cloudlet properties//对云任务参数进行描述，包括云任务ID，长度，文件大小，输出大小，使用模式。
int id = 0;
long length = 400000;
long fileSize = 300;
long outputSize = 300;
UtilizationModel utilizationModel = new UtilizationModelFull();
Cloudlet cloudlet = 
new Cloudlet(id, length, pesNumber, fileSize, 
outputSize, utilizationModel, utilizationModel, 
utilizationModel);
cloudlet.setUserId(brokerId);
cloudlet.setVmId(vmid);//cloudlet可以设置代理ID（一个代理和一个用户对应），表示拥有此cloudlet的用户或者vm ID，表示运行此cloudlet的vm。
// add the cloudlet to the list//将创建好的云任务添加到云任务列表。
cloudletList.add(cloudlet);
// submit cloudlet list to the broker//将云任务列表提交给用户。
broker.submitCloudletList(cloudletList);
// Sixth step: Starts the simulation
CloudSim.startSimulation();
CloudSim.stopSimulation();//第五步：创建云任务，指定云任务的参数（云任务ID，长度，文件大小，输出大小，使用模式），其中length指的是MIPS数（指令数）。将云任务添加到云任务列表，并提交给代理。
// Cloudlet properties//对云任务参数进行描述，包括云任务ID，长度，文件大小，输出大小，使用模式。
int id = 0;
long length = 400000;
long fileSize = 300;
long outputSize = 300;
UtilizationModel utilizationModel = new UtilizationModelFull();
Cloudlet cloudlet = 
new Cloudlet(id, length, pesNumber, fileSize, 
outputSize, utilizationModel, utilizationModel, 
utilizationModel);
cloudlet.setUserId(brokerId);
cloudlet.setVmId(vmid);//cloudlet可以设置代理ID（一个代理和一个用户对应），表示拥有此cloudlet的用户或者vm ID，表示运行此cloudlet的vm。
// add the cloudlet to the list//将创建好的云任务添加到云任务列表。
cloudletList.add(cloudlet);
// submit cloudlet list to the broker//将云任务列表提交给用户。
broker.submitCloudletList(cloudletList);
// Sixth step: Starts the simulation
CloudSim.startSimulation();
CloudSim.stopSimulation();

                        //第六步：开始仿真，直到仿真结束。
//Final step: Print results when simulation is over
List<Cloudlet> newList = broker.getCloudletReceivedList();
printCloudletList(newList);//第六步：开始仿真，直到仿真结束。
//Final step: Print results when simulation is over
List<Cloudlet> newList = broker.getCloudletReceivedList();
printCloudletList(newList);

                        //第七步：当仿真结束后，打印仿真结果。（结果包括云任务队列和每个用户使用数据中心的情况）
Log.printLine("CloudSimExample1 finished!");
} catch (Exception e) {
e.printStackTrace();
Log.printLine("Unwanted errors happen");
}
} //第七步：当仿真结束后，打印仿真结果。（结果包括云任务队列和每个用户使用数据中心的情况）
Log.printLine("CloudSimExample1 finished!");
} catch (Exception e) {
e.printStackTrace();
Log.printLine("Unwanted errors happen");
}
}

接下来是创建数据中心的步骤：

private static Datacenter createDatacenter(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>();

                //第一步：创建主机列表，来存储主机。
// 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 = 1000; //第一步：创建主机列表，来存储主机。
// 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 = 1000;

                 //第二步：创建Pe（CPU）列表，来存储Pe（CPU）。一个主机有一个（单核）或多个CPU（多核），一个主机含有一个Pe列表，Pe需要指定计算能力，用MIPS表示。
// 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//第二步：创建Pe（CPU）列表，来存储Pe（CPU）。一个主机有一个（单核）或多个CPU（多核），一个主机含有一个Pe列表，Pe需要指定计算能力，用MIPS表示。
// 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

                //第三步：创建Pe（指定peid，mips），并将其添加到Pe列表。
// 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//第三步：创建Pe（指定peid，mips），并将其添加到Pe列表。
// 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

               //第四步:用Pe列表和id创建主机（指定主机id，内存，存储容量，带宽，Pe（CPU）列表等），并将其添加到主机列表。其中VmSchedulerTimeShared表示 虚拟机使用时分方式共享主机CPU。
// 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$/Pe time unit).
String arch = "x86"; // system architecture
String os = "Linux"; // operating system
String vmm = "Xen";
double time_zone = 10.0; // time zone this resource located
double cost = 3.0; // the cost of using processing in this resource
double costPerMem = 0.05; // the cost of using memory in this resource
double costPerStorage = 0.001; // the cost of using storage in this resource
double costPerBw = 0.0; // the cost of using bw in this resource
LinkedList<Storage> storageList = new LinkedList<Storage>(); // we are not adding SAN devices by now
DatacenterCharacteristics characteristics = new DatacenterCharacteristics(
arch, os, vmm, hostList, time_zone, cost, costPerMem,
costPerStorage, costPerBw);
//第五步：创建数据中心特征对象来存储数据中心的参数特征（结构，操作系统，机器列表，分配策略（时间或空间共享）），跟主机架构相关。
// 6. Finally, we need to create a PowerDatacenter object.
Datacenter datacenter = null;
try {
datacenter = new Datacenter(name, characteristics, new VmAllocationPolicySimple(hostList), storageList, 0);
} catch (Exception e) {
e.printStackTrace();
}
return datacenter;  //第四步:用Pe列表和id创建主机（指定主机id，内存，存储容量，带宽，Pe（CPU）列表等），并将其添加到主机列表。其中VmSchedulerTimeShared表示 虚拟机使用时分方式共享主机CPU。
// 5. Create a DatacenterCharacteristics object that stores the
// properties of a data center: architecture, OS, list of
// Machines, allocation policy: time- or space-shared, time zone
// and its price (G$/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);
//第五步：创建数据中心特征对象来存储数据中心的参数特征（结构，操作系统，机器列表，分配策略（时间或空间共享）），跟主机架构相关。
// 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;

              //第六步：创建数据中心对象。其中VmAllocationSimple表示将VM分配到已经使用Pe最少的物理机中。
}//第六步：创建数据中心对象。其中VmAllocationSimple表示将VM分配到已经使用Pe最少的物理机中。
}

private static DatacenterBroker createBroker() {
DatacenterBroker broker = null;
try {
broker = new DatacenterBroker("Broker");
} catch (Exception e) {
e.printStackTrace();
return null;
}
return broker;
}

上述这段代码用来创建代理。

private static void printCloudletList(List<Cloudlet> list) {
int size = list.size();
Cloudlet cloudlet;
String indent = "    "; //indent即为空格。
Log.printLine();        //打印空行。
Log.printLine("========== OUTPUT ==========");
Log.printLine("Cloudlet ID" + indent + "STATUS" + indent
+ "Data center ID" + indent + "VM ID" + indent + "Time" + indent
+ "Start Time" + indent + "Finish Time");//打印参数：云任务ID，状态，数据中心ID，VM ID，时间，开始时间，结束时间。 
DecimalFormat dft = new DecimalFormat("###.##");//设置输出十进制格式的参数数据。
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()));
}
}//循环整个云任务列表，并以十进制格式输出各参数数据。
}//indent即为空格。
Log.printLine();        //打印空行。
Log.printLine("========== OUTPUT ==========");
Log.printLine("Cloudlet ID" + indent + "STATUS" + indent
+ "Data center ID" + indent + "VM ID" + indent + "Time" + indent
+ "Start Time" + indent + "Finish Time");//打印参数：云任务ID，状态，数据中心ID，VM ID，时间，开始时间，结束时间。

DecimalFormat dft = new DecimalFormat("###.##");//设置输出十进制格式的参数数据。
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()));
}
}//循环整个云任务列表，并以十进制格式输出各参数数据。
}

上述这段代码用来创建打印云任务列表。

最后仿真结果如下所示：

Starting CloudSimExample1...
Initialising...
Starting CloudSim version 3.0
Datacenter_0 is starting...
Broker is starting...
Entities started.
0.0: Broker: Cloud Resource List received with 1 resource(s)
0.0: Broker: Trying to Create VM #0 in Datacenter_0
0.1: Broker: VM #0 has been created in Datacenter #2, Host #0
0.1: Broker: Sending cloudlet 0 to VM #0
400.1: Broker: Cloudlet 0 received
400.1: Broker: All Cloudlets executed. Finishing...
400.1: Broker: Destroying VM #0
Broker is shutting down...
Simulation: No more future events
CloudInformationService: Notify all CloudSim entities for shutting down.
Datacenter_0 is shutting down...
Broker is shutting down...
Simulation completed.
Simulation completed.
========== OUTPUT ==========
Cloudlet ID    STATUS    Data center ID    VM ID    Time    Start Time    Finish Time
0        SUCCESS        2            0        400        0.1        400.1
CloudSimExample1 finished!

仿真结果显示：云任务ID为0，云任务状态为SUCCESS，数据中心ID为2，VM ID为0，云任务0运行时间为400，开始时间为0.1，结束时间为400.1。