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。