public static void RunSimulation(int []taskLength,int taskNum){System.out.println("Starting to run simulations...");try{int num_user = 1; // number of cloud usersCalendar calendar = Calendar.getInstance();boolean trace_flag = false;CloudSim.init(num_user, calendar, trace_flag);//下面创建的datacenter是用来运行任务的物理硬件，是必需的，否则不能运行。它被创建之后看似没有调用，好像没啥用，其实DataCenter构造函数把它与CloudSim类进行了绑定，所以能够发挥作用@SuppressWarnings("unused")Datacenter datacenter0 = createDatacenter("Datacenter_0");// #3 step: Create BrokerDatacenterBroker broker = createBroker();int brokerId = broker.getId();// #4 step: Create one virtual machinevmlist = new ArrayList<Vm>();// VM descriptionlong size = 10000; // image size (MB)int ram = 512; // vm memory (MB)long bw = 1000;int pesNumber = 1; // number of cpusString vmm = "Xen"; // VMM namedouble mips=5000;//mips是虚拟机的cpu处理速度，cloudlet的length/虚拟机mips=任务执行所需时间//所有虚拟机的mips之和不能超过datacenter中定义的主机的物理cpu的mips之和，而虚拟cpu的mips的最大值也不能超过物理cpu的最大值，否则虚拟机将创建失败。Vm vm1 = new Vm(0, brokerId, mips, pesNumber, ram, bw, size,vmm, new CloudletSchedulerSpaceShared());mips=2500;Vm vm2 = new Vm(1, brokerId, mips, pesNumber, ram, bw, size,vmm,new CloudletSchedulerTimeShared());mips=2500;Vm vm3 = new Vm(2, brokerId, mips, pesNumber, ram, bw, size,vmm,new CloudletSchedulerTimeShared());mips=1500;Vm vm4 = new Vm(3, brokerId, mips, pesNumber, ram, bw, size,vmm, new CloudletSchedulerSpaceShared());mips=1000;Vm vm5 = new Vm(4, brokerId, mips, pesNumber, ram, bw, size,vmm, new CloudletSchedulerSpaceShared());// add the VMs to the vmListvmlist.add(vm1);vmlist.add(vm2);vmlist.add(vm3);vmlist.add(vm4);vmlist.add(vm5);// submit vm list to the brokerbroker.submitVmList(vmlist);// #5 step: Create cloudletscloudletList = new ArrayList<Cloudlet>();// Cloudlet propertiesint id = 0;pesNumber = 1;long fileSize = 250;long outputSize = 10000000;UtilizationModel utilizationModel = new UtilizationModelFull();for(int i=0;i<taskNum;i++){//Cloudlet构造函数的一个参数为任务id，第二个参数为任务长度(指令数量)Cloudlet task = new Cloudlet(i, taskLength[i], pesNumber, fileSize,outputSize, utilizationModel, utilizationModel,utilizationModel);task.setUserId(brokerId);cloudletList.add(task);}broker.submitCloudletList(cloudletList);for(int i=0;i<taskNum;i++){//下面的两行代码用于把任务绑定到指定的虚拟机上，两行代码效果是一样的//如果需要用自己实现的算法来进行资源调度，则可以在算法中动态调用DataCenterBroker.bindCloudletToVm()方法或者Cloudlet.setVmId()方法//broker.bindCloudletToVm(cloudletList.get(i).getCloudletId(),vm1.getId());cloudletList.get(i).setVmId(vm1.getId());}bindAllTaskToSameVM(cloudletList,vm1.getId());CloudSim.startSimulation();// Final step: Print results when simulation is overList<Cloudlet> newList = broker.getCloudletReceivedList();CloudSim.stopSimulation();for(Vm vm:vmlist){System.out.println(String.format("vm id= %s ,mips = %s ",vm.getId(),vm.getMips()));}printCloudletList(newList);System.out.println("CloudSim simulation is finished!");} catch (Exception e){e.printStackTrace();System.out.println("The simulation has been terminated due to an unexpected error");}}private static Datacenter createDatacenter(String name){List<Host> hostList = new ArrayList<Host>();List<Pe> peList = new ArrayList<Pe>();//创建五个cpu,mips为cpu的处理速度int mips = 5000;peList.add(new Pe(0, new PeProvisionerSimple(mips))); // need to store Pe id and MIPS Ratingmips = 2500;peList.add(new Pe(1, new PeProvisionerSimple(mips))); // need to storemips = 2500;peList.add(new Pe(2, new PeProvisionerSimple(mips))); // need to storemips = 1500;peList.add(new Pe(3, new PeProvisionerSimple(mips))); // need to storemips = 1000;peList.add(new Pe(4, new PeProvisionerSimple(mips))); // need to storeint hostId = 0;int ram = 4096; // host memory (MB)long storage = 10000000; // host storageint bw = 10000;hostList.add(new Host(hostId, new RamProvisionerSimple(ram),new BwProvisionerSimple(bw), storage, peList,new VmSchedulerTimeShared(peList)));String arch = "x86"; // system architectureString os = "Linux"; // operating systemString vmm = "Xen";double time_zone = 10.0; // time zone this resource locateddouble cost = 3.0; // the cost of using processors in this resourcedouble costPerMem = 0.05; // the cost of using memory in this resourcedouble costPerStorage = 0.001; // the cost of using storage in this// resourcedouble costPerBw = 0.001; // the cost of using bw in this resource//we are not adding SAN devices by nowLinkedList<Storage> storageList = new LinkedList<Storage>();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;}private static DatacenterBroker createBroker(){DatacenterBroker broker = null;try{broker = new DatacenterBroker("Broker");} catch (Exception e){e.printStackTrace();return null;}return broker;}private static void printCloudletList(List<Cloudlet> list){int size = list.size();Cloudlet cloudlet;String indent = "    ";System.out.println();System.out.println("========== OUTPUT ==========");System.out.println("Cloudlet ID" + indent + "STATUS" + indent+ "Data center ID" + indent + "VM ID" + indent +"CloudletLength"+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.getStatus()== Cloudlet.SUCCESS){Log.print("SUCCESS");System.out.println(indent +indent + indent + cloudlet.getResourceId()+ indent + indent + indent + cloudlet.getVmId()+ indent + indent + cloudlet.getCloudletLength()+ indent + indent+ indent + indent+ dft.format(cloudlet.getActualCPUTime()) + indent+ indent + dft.format(cloudlet.getExecStartTime())+ indent + indent+ dft.format(cloudlet.getFinishTime()));}}}