cloudsim4.0中CloudSimExample2分析

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CloudSimExample2展示如何创建一个只含一个主机的数据中心，并在其上运行两个云任务。（两个云任务运行在具有相同计算能力的虚拟机上，即两个云任务的执行需要相同的时间）

首先附上CloudSimExample1全部代码：

/*
* 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
*/
package org.cloudbus.cloudsim.examples;
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 datacenter with one host and run two
* cloudlets on it. The cloudlets run in
* VMs with the same MIPS requirements.
* The cloudlets will take the same time to
* complete the execution.
*/
public class CloudSimExample2 {
/** The cloudlet list. */
private static List<Cloudlet> cloudletList;
/** The vmlist. */
private static List<Vm> vmlist;
/**
* Creates main() to run this example
*/
public static void main(String[] args) {
Log.printLine("Starting CloudSimExample2...");
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();
boolean trace_flag = false;  // mean trace events
// Initialize the CloudSim library
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
@SuppressWarnings("unused")
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 = 250;
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 two VMs
Vm vm1 = new Vm(vmid, brokerId, mips, pesNumber, ram, bw, size, vmm, new CloudletSchedulerTimeShared());
vmid++;
Vm vm2 = new Vm(vmid, brokerId, mips, pesNumber, ram, bw, size, vmm, new CloudletSchedulerTimeShared());
//add the VMs to the vmList
vmlist.add(vm1);
vmlist.add(vm2);
//submit vm list to the broker
broker.submitVmList(vmlist);
//Fifth step: Create two Cloudlets
cloudletList = new ArrayList<Cloudlet>();
//Cloudlet properties
int id = 0;
pesNumber=1;
long length = 250000;
long fileSize = 300;
long outputSize = 300;
UtilizationModel utilizationModel = new UtilizationModelFull();
Cloudlet cloudlet1 = new Cloudlet(id, length, pesNumber, fileSize, outputSize, utilizationModel, utilizationModel, utilizationModel);
cloudlet1.setUserId(brokerId);
id++;
Cloudlet cloudlet2 = new Cloudlet(id, length, pesNumber, fileSize, outputSize, utilizationModel, utilizationModel, utilizationModel);
cloudlet2.setUserId(brokerId);
//add the cloudlets to the list
cloudletList.add(cloudlet1);
cloudletList.add(cloudlet2);
//submit cloudlet list to the 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(),vm1.getId());
broker.bindCloudletToVm(cloudlet2.getCloudletId(),vm2.getId());
// Sixth step: Starts the simulation
CloudSim.startSimulation();
// Final step: Print results when simulation is over
List<Cloudlet> newList = broker.getCloudletReceivedList();
CloudSim.stopSimulation();
printCloudletList(newList);
Log.printLine("CloudSimExample2 finished!");
}
catch (Exception e) {
e.printStackTrace();
Log.printLine("The simulation has been terminated due to an unexpected error");
}
}
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
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()));
}
}
}
}

接下来进行详细的分析：（与CloudSimExample1相同之处不再赘述）

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。

// First step: Initialize the CloudSim package. It should be called
// before creating any entities.
int num_user = 1;   // number of cloud users//指定云用户数量为1个。
Calendar calendar = Calendar.getInstance();
boolean trace_flag = false;  // mean trace events
// Initialize the CloudSim library
CloudSim.init(num_user, calendar, trace_flag);//初始化cloudsim包。//指定云用户数量为1个。
Calendar calendar = Calendar.getInstance();
boolean trace_flag = false;  // mean trace events
// Initialize the CloudSim library
CloudSim.init(num_user, calendar, trace_flag);//初始化cloudsim包。

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。

// Second step: Create Datacenters
//Datacenters are the resource providers in CloudSim. We need at list one of them to run a CloudSim simulation
@SuppressWarnings("unused")
Datacenter datacenter0 = createDatacenter("Datacenter_0");

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。

//Third step: Create Broker
DatacenterBroker broker = createBroker();
int brokerId = broker.getId();

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。

//Fourth step: Create one virtual machine
vmlist = new ArrayList<Vm>();
//VM description
int vmid = 0;
int mips = 250;
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 two VMs
Vm vm1 = new Vm(vmid, brokerId, mips, pesNumber, ram, bw, size, vmm, new CloudletSchedulerTimeShared());
vmid++;
Vm vm2 = new Vm(vmid, brokerId, mips, pesNumber, ram, bw, size, vmm, new CloudletSchedulerTimeShared());
//add the VMs to the vmList
vmlist.add(vm1);
vmlist.add(vm2);
//submit vm list to the broker
broker.submitVmList(vmlist);

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。

//Fifth step: Create two Cloudlets
cloudletList = new ArrayList<Cloudlet>();
//Cloudlet properties
int id = 0;
pesNumber=1;
long length = 250000;
long fileSize = 300;
long outputSize = 300;
UtilizationModel utilizationModel = new UtilizationModelFull();
Cloudlet cloudlet1 = new Cloudlet(id, length, pesNumber, fileSize, outputSize, utilizationModel, utilizationModel, utilizationModel);
cloudlet1.setUserId(brokerId);
id++;
Cloudlet cloudlet2 = new Cloudlet(id, length, pesNumber, fileSize, outputSize, utilizationModel, utilizationModel, utilizationModel);
cloudlet2.setUserId(brokerId);
//add the cloudlets to the list
cloudletList.add(cloudlet1);
cloudletList.add(cloudlet2);
//submit cloudlet list to the 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(),vm1.getId());
broker.bindCloudletToVm(cloudlet2.getCloudletId(),vm2.getId());

第六步：开始仿真，直到仿真结束。

                        // Sixth step: Starts the simulation
CloudSim.startSimulation();

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）

// Final step: Print results when simulation is over
List<Cloudlet> newList = broker.getCloudletReceivedList();
CloudSim.stopSimulation();
printCloudletList(newList);
Log.printLine("CloudSimExample2 finished!");

接下来是创建数据中心的步骤：

第一步：创建主机列表，来存储主机。

// 1. We need to create a list to store
//    our machine
List<Host> hostList = new ArrayList<Host>();

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。

 // 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;

第三步：创建Pe（指定peid，mips），并将其添加到Pe列表。

// 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。

//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。

// 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。

// 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;
}