completed version

modules/cloudsim-examples/pom.xml

@@ -37,6 +37,12 @@
 			<version>2.9.6</version>
 		</dependency>
 
+		<dependency>
+			<groupId>org.apache.commons</groupId>
+			<artifactId>commons-io</artifactId>
+			<version>1.3.2</version>
+		</dependency>
+
 		<dependency>
 			<groupId>com.fasterxml.jackson.core</groupId>
 			<artifactId>jackson-databind</artifactId>

modules/cloudsim-examples/src/main/java/org/cloudbus/cloudsim/examples/gpu/CloudSimGpuExample6.java

@@ -276,8 +276,8 @@ public class CloudSimGpuExample6 {
 			double performanceLoss = 0.1;
 			PerformanceModel<VgpuScheduler, Vgpu> performanceModel = new PerformanceModelGpuConstant(performanceLoss);
 			// Scheduler
-			RemoteVgpuSchedulerFairShare vgpuScheduler = new RemoteVgpuSchedulerFairShare(
-					VideoCardTags.NVIDIA_K1_CARD, pgpus, pgpuSelectionPolicy, performanceModel);
+			RemoteVgpuSchedulerFairShare vgpuScheduler = new RemoteVgpuSchedulerFairShare(VideoCardTags.NVIDIA_K1_CARD,
+					pgpus, pgpuSelectionPolicy, performanceModel);
 			// PCI Express Bus Bw Provisioner
 			VideoCardBwProvisioner videoCardBwProvisioner = new VideoCardBwProvisionerShared(
 					VideoCardTags.PCI_E_3_X16_BW);
@@ -372,8 +372,8 @@ public class CloudSimGpuExample6 {
 		// We need to create a Datacenter object.
 		PowerGpuDatacenter datacenter = null;
 		try {
-			datacenter = new PowerGpuDatacenter(name, characteristics, new RemoteGpuVmAllocationPolicyFirstFit(hostList),
-					storageList, schedulingInterval);
+			datacenter = new PowerGpuDatacenter(name, characteristics,
+					new RemoteGpuVmAllocationPolicyFirstFit(hostList), storageList, schedulingInterval);
 		} catch (Exception e) {
 			e.printStackTrace();
 		}

modules/cloudsim-examples/src/main/java/org/cloudbus/cloudsim/examples/gpu/lpds/Lpds.java

+package org.cloudbus.cloudsim.examples.gpu.lpds;
+
+import java.io.File;
+import java.io.FileOutputStream;
+import java.io.PrintStream;
+import java.text.DecimalFormat;
+import java.util.ArrayList;
+import java.util.Calendar;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Map;
+
+import org.apache.commons.io.output.TeeOutputStream;
+import org.cloudbus.cloudsim.Cloudlet;
+import org.cloudbus.cloudsim.CloudletSchedulerTimeShared;
+import org.cloudbus.cloudsim.DatacenterCharacteristics;
+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.VmAllocationPolicy;
+import org.cloudbus.cloudsim.VmScheduler;
+import org.cloudbus.cloudsim.core.CloudSim;
+import org.cloudbus.cloudsim.gpu.GpuCloudlet;
+import org.cloudbus.cloudsim.gpu.GpuDatacenter;
+import org.cloudbus.cloudsim.gpu.GpuDatacenterBroker;
+import org.cloudbus.cloudsim.gpu.GpuHost;
+import org.cloudbus.cloudsim.gpu.GpuTask;
+import org.cloudbus.cloudsim.gpu.GpuTaskScheduler;
+import org.cloudbus.cloudsim.gpu.GpuTaskSchedulerLeftover;
+import org.cloudbus.cloudsim.gpu.GpuVm;
+import org.cloudbus.cloudsim.gpu.Pgpu;
+import org.cloudbus.cloudsim.gpu.UtilizationModelGaussian;
+import org.cloudbus.cloudsim.gpu.Vgpu;
+import org.cloudbus.cloudsim.gpu.VideoCard;
+import org.cloudbus.cloudsim.gpu.VideoCardTags;
+import org.cloudbus.cloudsim.gpu.allocation.VideoCardAllocationPolicy;
+import org.cloudbus.cloudsim.gpu.allocation.VideoCardAllocationPolicyLeastLoad;
+import org.cloudbus.cloudsim.gpu.allocation.VideoCardAllocationPolicySimple;
+import org.cloudbus.cloudsim.gpu.performance.models.PerformanceModelGpuNull;
+import org.cloudbus.cloudsim.gpu.power.PowerGpuDatacenter;
+import org.cloudbus.cloudsim.gpu.power.PowerGpuDatacenterBroker;
+import org.cloudbus.cloudsim.gpu.power.PowerGpuHost;
+import org.cloudbus.cloudsim.gpu.power.PowerVideoCard;
+import org.cloudbus.cloudsim.gpu.power.models.GpuHostPowerModelLinear;
+import org.cloudbus.cloudsim.gpu.power.models.VideoCardPowerModel;
+import org.cloudbus.cloudsim.gpu.power.models.VideoCardPowerModelLinear;
+import org.cloudbus.cloudsim.gpu.provisioners.GpuBwProvisionerSimple;
+import org.cloudbus.cloudsim.gpu.provisioners.GpuGddramProvisionerSimple;
+import org.cloudbus.cloudsim.gpu.provisioners.VideoCardBwProvisioner;
+import org.cloudbus.cloudsim.gpu.provisioners.VideoCardBwProvisionerShared;
+import org.cloudbus.cloudsim.gpu.remote.RemoteGpuHost;
+import org.cloudbus.cloudsim.gpu.remote.RemoteGpuVmAllocationPolicyFirstFit;
+import org.cloudbus.cloudsim.gpu.remote.RemoteGpuVmAllocationPolicyLeastLoad;
+import org.cloudbus.cloudsim.gpu.remote.RemoteGpuVmSchedulerSpaceShared;
+import org.cloudbus.cloudsim.gpu.remote.RemoteVgpuSchedulerFairShare;
+import org.cloudbus.cloudsim.gpu.selection.PgpuSelectionPolicy;
+import org.cloudbus.cloudsim.gpu.selection.PgpuSelectionPolicyLeastLoad;
+import org.cloudbus.cloudsim.gpu.selection.PgpuSelectionPolicySimple;
+import org.cloudbus.cloudsim.power.models.PowerModel;
+import org.cloudbus.cloudsim.provisioners.BwProvisioner;
+import org.cloudbus.cloudsim.provisioners.BwProvisionerSimple;
+import org.cloudbus.cloudsim.provisioners.PeProvisioner;
+import org.cloudbus.cloudsim.provisioners.PeProvisionerSimple;
+import org.cloudbus.cloudsim.provisioners.RamProvisioner;
+import org.cloudbus.cloudsim.provisioners.RamProvisionerSimple;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+public class Lpds {
+
+	public static final long SEED = 1;
+
+	public static void main(String[] args) {
+		try {
+			String workloadName = "lpds_workload_1";
+			// Set output stream
+			FileOutputStream fileOutputStream = new FileOutputStream(workloadName + "_output.txt");
+			TeeOutputStream teeOutputStream = new TeeOutputStream(System.out, fileOutputStream);
+			PrintStream printStream = new PrintStream(teeOutputStream, true);
+			System.setOut(printStream);
+			// Loading workload description from file...
+			ObjectMapper mapper = new ObjectMapper();
+			LpdsWorkload workloadManifest = mapper.readValue(new File(
+					"//home//gpu//gitrepos//gpucloudsim//modules//cloudsim-examples//src//main//java//org//cloudbus//cloudsim//examples//gpu//lpds//" + workloadName + ".json"),
+					LpdsWorkload.class);
+			// number of cloud users
+			int num_user = 1;
+			Calendar calendar = Calendar.getInstance();
+			// trace events
+			boolean trace_flag = true;
+			// CloudSim initialization
+			CloudSim.init(num_user, calendar, trace_flag);
+
+			// Creation of Datacenters
+			List<GpuDatacenter> datacenters = createDatacenters(workloadManifest);
+
+			// Creation of Datacenter Broker
+			GpuDatacenterBroker broker = createBroker(workloadManifest.broker.name);
+
+			// Creation of VMs
+			List<GpuVm> vms = createVms(broker.getId(), workloadManifest.vms);
+
+			broker.submitVmList(vms);
+
+			// Creation of GpuCloudlets
+			List<GpuCloudlet> gpuCloudlets = createGpuCloudlets(broker.getId(), workloadManifest.gpu_cloudlets,
+					workloadManifest.gpu_cloudlet_vm_map);
+
+			broker.submitCloudletList(gpuCloudlets);
+
+			Log.disable();
+			System.out.println("+ Start");
+			System.out.println("+ Events");
+			CloudSim.startSimulation();
+
+			CloudSim.stopSimulation();
+			System.out.println("+ Finish");
+
+			System.out.println("+ Results");
+			List<Cloudlet> cloudlets = broker.getCloudletReceivedList();
+			printCloudletList(cloudlets, vms, datacenters);
+			System.out.println("+ End");
+			teeOutputStream.close();
+
+		} catch (Exception ex) {
+			Log.printLine(ex.getMessage());
+			ex.printStackTrace();
+		}
+	}
+
+	private static Vgpu createVgpu(LpdsVgpu vgpuManifest) {
+		final int DONT_CARE = 0;
+		final int type = vgpuManifest.type;
+		// GPU Clock: 850 MHz
+		final double mips = DONT_CARE;
+		// SMX count: 1
+		final int numberOfPes = DONT_CARE;
+		// GDDRAM: 256 MB
+		final int gddram = vgpuManifest.memory;
+		// Bandwidth: 28 GB/s
+		final long bw = DONT_CARE;
+		GpuTaskScheduler gpuTaskScheduler = new GpuTaskSchedulerLeftover();
+		Vgpu vgpu = new Vgpu(0, mips, numberOfPes, gddram, bw, type, gpuTaskScheduler, VideoCardTags.PCI_E_3_X16_BW);
+		return vgpu;
+	}
+
+	private static List<GpuVm> createVms(int brokerId, List<LpdsVm> vmsManifest) {
+		final int DONT_CARE = 0;
+		List<GpuVm> vms = new ArrayList<>();
+		int vm_id = 0;
+		for (LpdsVm vmManifest : vmsManifest) {
+			// VM type
+			int vmType = LpdsTags.getVmType(vmManifest.type);
+			// vGPU
+			LpdsVgpu vgpuManifest = vmManifest.vgpu;
+			// VM description
+			double mips = 0;
+			// image size (MB)
+			long size = 0;
+			// vm memory (MB)
+			int ram = (int) (vmManifest.ram * 1024);
+			long bw = DONT_CARE;
+			// number of cpus
+			int pesNumber = vmManifest.num_vcpus;
+			// VMM name
+			String vmm = "Xen";
+			// create VM
+			GpuVm vm = new GpuVm(vm_id, brokerId, mips, pesNumber, ram, bw, size, vmm, vmType,
+					new CloudletSchedulerTimeShared());
+			vm_id += 1;
+			if (vgpuManifest != null) {
+				Vgpu vgpu = createVgpu(vgpuManifest);
+				vm.setVgpu(vgpu);
+			}
+			vms.add(vm);
+		}
+		return vms;
+	}
+
+	private static GpuTask createGpuTask(int gpuCloudletId, LpdsGpuTask gpuTaskManifest) {
+		// GpuTask properties
+		long blockLength = gpuTaskManifest.block_length;
+		long inputSize = 512;
+		long outputSize = 512;
+		long requestedGddramSize = inputSize + outputSize;
+		int numberOfBlocks = gpuTaskManifest.num_blocks;
+
+		UtilizationModel gpuUtilizationModel = null;
+		UtilizationModel gddramUtilizationModel = null;
+		UtilizationModel bwUtilizationModel = new UtilizationModelFull();
+
+		switch (gpuTaskManifest.gpu_utilization_model) {
+		case "full":
+			gpuUtilizationModel = new UtilizationModelFull();
+			break;
+		case "low":
+			gpuUtilizationModel = new UtilizationModelGaussian(0.2, 0.05, SEED);
+			break;
+		case "medium":
+			gpuUtilizationModel = new UtilizationModelGaussian(0.5, 0.05, SEED);
+			break;
+		case "high":
+			gpuUtilizationModel = new UtilizationModelGaussian(0.8, 0.05, SEED);
+			break;
+		default:
+			throw new IllegalArgumentException("[-] Unknown GPU Utilization Model for GpuTask.");
+		}
+
+		switch (gpuTaskManifest.gddram_utilization_model) {
+		case "full":
+			gddramUtilizationModel = new UtilizationModelFull();
+			break;
+		case "low":
+			gddramUtilizationModel = new UtilizationModelGaussian(0.2, 0.05, SEED);
+			break;
+		case "medium":
+			gddramUtilizationModel = new UtilizationModelGaussian(0.5, 0.05, SEED);
+			break;
+		case "high":
+			gddramUtilizationModel = new UtilizationModelGaussian(0.8, 0.05, SEED);
+			break;
+		default:
+			throw new IllegalArgumentException("[-] Unknown GDDRAM Utilization Model for GpuTask.");
+		}
+
+		GpuTask gpuTask = new GpuTask(gpuCloudletId, blockLength, numberOfBlocks, inputSize, outputSize, requestedGddramSize,
+				gpuUtilizationModel, gddramUtilizationModel, bwUtilizationModel);
+
+		return gpuTask;
+	}
+
+	private static List<GpuCloudlet> createGpuCloudlets(int brokerId, List<LpdsGpuCloudlet> gpuCloudletsManifest,
+			Map<Integer, Integer> gpuCloudletVmMap) {
+		List<GpuCloudlet> gpuCloudlets = new ArrayList<>();
+		for (LpdsGpuCloudlet gpuCloudletManifest : gpuCloudletsManifest) {
+			// Cloudlet properties
+			long length = gpuCloudletManifest.length;
+			long inputSize = 0;
+			long outputSize = 0;
+			int pesNumber = gpuCloudletManifest.num_pes;
+
+			UtilizationModel cpuUtilizationModel = null;
+			UtilizationModel ramUtilizationModel = new UtilizationModelFull();
+			UtilizationModel bwUtilizationModel = new UtilizationModelFull();
+
+			switch (gpuCloudletManifest.cpu_utilization_model) {
+			case "full":
+				cpuUtilizationModel = new UtilizationModelFull();
+				break;
+			case "low":
+				cpuUtilizationModel = new UtilizationModelGaussian(0.2, 0.05, SEED);
+				break;
+			case "medium":
+				cpuUtilizationModel = new UtilizationModelGaussian(0.5, 0.05, SEED);
+				break;
+			case "high":
+				cpuUtilizationModel = new UtilizationModelGaussian(0.8, 0.05, SEED);
+				break;
+			default:
+				throw new IllegalArgumentException("[-] Unknown CPU Utilization Model for Cloudlet.");
+			}
+
+			LpdsGpuTask gpuTaskManifest = gpuCloudletManifest.gpu_task;
+			GpuTask gpuTask = null;
+			if (gpuTaskManifest != null) {
+				gpuTask = createGpuTask(gpuCloudletManifest.id, gpuTaskManifest);
+			}
+
+			GpuCloudlet gpuCloudlet = new GpuCloudlet(gpuCloudletManifest.id, length, pesNumber, inputSize, outputSize,
+					cpuUtilizationModel, ramUtilizationModel, bwUtilizationModel, gpuTask);
+			gpuCloudlet.setTag(gpuCloudletManifest.tag);
+			gpuCloudlet.setUserId(brokerId);
+			gpuCloudlet.setVmId(gpuCloudletVmMap.get(gpuCloudlet.getCloudletId()));
+			gpuCloudlets.add(gpuCloudlet);
+		}
+		return gpuCloudlets;
+	}
+
+	private static GpuDatacenterBroker createBroker(String name) {
+		GpuDatacenterBroker broker = null;
+		try {
+			broker = new PowerGpuDatacenterBroker(name);
+		} catch (Exception e) {
+			e.printStackTrace();
+			return null;
+		}
+		return broker;
+	}
+
+	private static List<GpuDatacenter> createDatacenters(LpdsWorkload workloadManifest) {
+		List<GpuDatacenter> datacenters = new ArrayList<>();
+		// unique across all datacenters
+		int hostId = 0;
+		int peId = 0;
+		int videoCardId = 0;
+		int pgpuId = 0;
+		for (LpdsDatacenter datacenterManifest : workloadManifest.datacenters) {
+			// We need to create a list to store our machine
+			List<GpuHost> hostList = new ArrayList<>();
+			for (LpdsHost hostManifest : datacenterManifest.hosts) {
+				// A Machine contains one or more PEs or CPUs/Cores.
+				List<Pe> hostPes = new ArrayList<>();
+				for (int i = 0; i < hostManifest.num_pes; i++) {
+					hostPes.add(new Pe(peId, new PeProvisionerSimple(hostManifest.pe_mips)));
+					peId += 1;
+				}
+
+				VmScheduler vmScheduler = new RemoteGpuVmSchedulerSpaceShared(hostPes);
+				RamProvisioner ramProvisioner = new RamProvisionerSimple(hostManifest.ram * 1024);
+				BwProvisioner bwProvisioner = new BwProvisionerSimple(Long.MAX_VALUE);
+
+				// Adding video cards with pgpus
+				List<VideoCard> videoCards = new ArrayList<>();
+				for (LpdsVideoCard videoCardManifest : hostManifest.video_cards) {
+					List<Pgpu> pgpus = new ArrayList<>();
+					LpdsGpu gpu = videoCardManifest.gpu;
+					for (int j = 0; j < videoCardManifest.num_gpus; j++) {
+						List<Pe> pgpuPes = new ArrayList<Pe>();
+						for (int k = 0; k < videoCardManifest.gpu.num_pes; k++) {
+							PeProvisioner peProvisioner = new PeProvisionerSimple(gpu.pe_mips);
+							pgpuPes.add(new Pe(peId, peProvisioner));
+							peId += 1;
+						}
+						pgpus.add(new Pgpu(pgpuId, pgpuPes, new GpuGddramProvisionerSimple(gpu.gddram),
+								new GpuBwProvisionerSimple(Long.MAX_VALUE)));
+						pgpuId += 1;
+					}
+					VideoCardBwProvisioner videoCardBwProvisioner = new VideoCardBwProvisionerShared(Long.MAX_VALUE);
+					PgpuSelectionPolicy pgpuSelectionPolicy = null;
+					switch (videoCardManifest.gpu_selection_policy) {
+					case "simple":
+						pgpuSelectionPolicy = new PgpuSelectionPolicySimple();
+						break;
+					case "least_load":
+						pgpuSelectionPolicy = new PgpuSelectionPolicyLeastLoad();
+						break;
+					default:
+						throw new IllegalArgumentException(
+								"[!] Unknown GpuSelection Policy: " + videoCardManifest.gpu_selection_policy);
+
+					}
+					int videoCardType = LpdsTags.getVideoCardType(videoCardManifest.type);
+					RemoteVgpuSchedulerFairShare vgpuScheduler = new RemoteVgpuSchedulerFairShare(videoCardType, pgpus,
+							pgpuSelectionPolicy, new PerformanceModelGpuNull());
+					int pgpuFrequency = pgpus.get(0).getPeList().get(0).getMips();
+					LpdsVideoCardPowerModel videoCardPowerModelManifest = videoCardManifest.power_model;
+					VideoCardPowerModel videoCardPowerModel = new VideoCardPowerModelLinear(pgpuFrequency,
+							videoCardPowerModelManifest.a3, videoCardPowerModelManifest.a2,
+							videoCardPowerModelManifest.a1, videoCardPowerModelManifest.a0, false);
+					VideoCard videoCard = new PowerVideoCard(videoCardId, videoCardType, vgpuScheduler,
+							videoCardBwProvisioner, videoCardPowerModel);
+					videoCardId += 1;
+					videoCards.add(videoCard);
+				}
+				VideoCardAllocationPolicy videoCardAllocationPolicy = null;
+				switch (hostManifest.video_card_allocation_policy) {
+				case "simple":
+					videoCardAllocationPolicy = new VideoCardAllocationPolicySimple(videoCards);
+					break;
+				case "least_load":
+					videoCardAllocationPolicy = new VideoCardAllocationPolicyLeastLoad(videoCards);
+					break;
+				}
+				PowerModel powerModel = new GpuHostPowerModelLinear(hostManifest.peak_power,
+						hostManifest.peak_power * 0.7);
+				int hostType = LpdsTags.getHostType(hostManifest.type);
+				GpuHost host = new RemoteGpuHost(hostId, hostType, ramProvisioner, bwProvisioner, Long.MAX_VALUE,
+						hostPes, vmScheduler, videoCardAllocationPolicy, powerModel);
+				hostList.add(host);
+				hostId += 1;
+			}
+
+			String datacenterName = datacenterManifest.name;
+			VmAllocationPolicy vmAllocationPolicy = null;
+			switch (datacenterManifest.vm_allocation_policy) {
+			case "simple":
+				vmAllocationPolicy = new RemoteGpuVmAllocationPolicyFirstFit(hostList);
+				break;
+			case "least_load":
+				vmAllocationPolicy = new RemoteGpuVmAllocationPolicyLeastLoad(hostList);
+				break;
+			default:
+				throw new IllegalArgumentException(
+						"[-] Vm Allocation Policy for Datacenter " + datacenterName + " is unknown.");
+			}
+			// 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).
+			// system architecture
+			String arch = "x86";
+			// operating system
+			String os = "Linux";
+			// VM Manager
+			String vmm = "Xen";
+			// time zone this resource located
+			double time_zone = 3.5;
+			// the cost of using processing in this resource
+			double cost = 0.0;
+			// the cost of using memory in this resource
+			double costPerMem = 0.0;
+			// the cost of using storage in this resource
+			double costPerStorage = 0.0;
+			// the cost of using bw in this resource
+			double costPerBw = 0.0;
+			// we are not adding SAN devices by now
+			LinkedList<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 Datacenter object.
+			GpuDatacenter datacenter = null;
+			final double schedulingInterval = datacenterManifest.scheduling_interval;
+			try {
+				datacenter = new PowerGpuDatacenter(datacenterManifest.name, characteristics, vmAllocationPolicy,
+						storageList, schedulingInterval);
+			} catch (Exception e) {
+				e.printStackTrace();
+			}
+			datacenters.add(datacenter);
+		}
+		return datacenters;
+	}
+
+	@SuppressWarnings("unchecked")
+	private static void printCloudletList(List<Cloudlet> cloudlets, List<GpuVm> vms, List<GpuDatacenter> datacenters) {
+		DecimalFormat dft = new DecimalFormat("###.##");
+		System.out.println("+ GpuCloudlets");
+		for (Cloudlet gpuCloudlet : cloudlets) {
+			int id = gpuCloudlet.getCloudletId();
+			String tag = ((GpuCloudlet) gpuCloudlet).getTag();
+			int vmId = gpuCloudlet.getVmId();
+			double duration = gpuCloudlet.getActualCPUTime();
+			double startTime = gpuCloudlet.getExecStartTime();
+			double finishTime = gpuCloudlet.getFinishTime();
+			GpuTask gpuTask = ((GpuCloudlet) gpuCloudlet).getGpuTask();
+			boolean hasGpuTask = (gpuTask == null ? false : true);
+			String task = "{}";
+			String memoryTransfers = "{}";
+			if (hasGpuTask) {
+				int taskId = gpuTask.getTaskId();
+				double taskDuration = gpuTask.getActualGPUTime();
+				double taskStartTime = gpuTask.getExecStartTime();
+				double taskFinishTime = gpuTask.getFinishTime();
+				task = "{'id': " + taskId + ", " + "'duration': "
+						+ dft.format(taskDuration).toString() + ", " + "'start_time': "
+						+ dft.format(taskStartTime).toString() + ", " + "'finish_time': "
+						+ dft.format(taskFinishTime).toString() + "}";
+				// H2D memory transfer
+				String h2d;
+				{
+					double h2dDuration = gpuTask.getMemoryTransferHostToDevice().getTime();
+					double h2dStartTime = gpuTask.getMemoryTransferHostToDevice().startTime;
+					double h2dFinishTime = gpuTask.getMemoryTransferHostToDevice().endTime;
+					h2d = "{" + "'duration':" + dft.format(h2dDuration).toString() + ", " + "'start_time': "
+							+ dft.format(h2dStartTime).toString() + ", " + "'finish_time': "
+							+ dft.format(h2dFinishTime).toString() + "}";
+				}
+				// D2H memory transfer
+				String d2h;
+				{
+					double d2hDuration = gpuTask.getMemoryTransferDeviceToHost().getTime();
+					double d2hStartTime = gpuTask.getMemoryTransferDeviceToHost().startTime;
+					double d2hFinishTime = gpuTask.getMemoryTransferDeviceToHost().endTime;
+					d2h = "{" + "'duration':" + dft.format(d2hDuration).toString() + ", " + "'start_time': "
+							+ dft.format(d2hStartTime).toString() + ", " + "'finish_time': "
+							+ dft.format(d2hFinishTime).toString() + "}";
+				}
+				memoryTransfers = "{" + "'h2d': " + h2d + ", " + "'d2h': " + d2h + "}";
+			}
+			String line = "{'id': " + id + ", " + "'tag': '" + tag + "'," 	+ "'vm': " + vmId + ", " + "'duration': "
+					+ dft.format(duration).toString() + ", " + "'start_time': " + dft.format(startTime).toString()
+					+ ", " + "'finish_time': " + dft.format(finishTime).toString() + ", " + "'gpu_task': " + task + ", "
+					+ "'memory_transfer': " + memoryTransfers + "}";
+			System.out.println(line);
+		}
+
+		System.out.println("+ VMs");
+		for(GpuVm vm : vms) {
+			int vm_id = vm.getId();
+			String type = LpdsTags.getVmType(vm.getType());
+			Vgpu vgpu = vm.getVgpu();
+			int vgpuMemory = 0;
+			if (vgpu != null) {
+				vgpuMemory = vgpu.getGddram();
+			}
+			String line = "{" + "'id': " + vm_id + ", " + "'type': '" + type + "', " + "'vgpu_memory': " + vgpuMemory + "}";
+			System.out.println(line);
+		}
+		
+		for (PowerGpuDatacenter datacenter : (List<PowerGpuDatacenter>) (List<?>) datacenters) {
+			System.out.println("+ Datacenter");
+			{
+				int id = datacenter.getId();
+				String name = datacenter.getName();
+				double energy = datacenter.getConsumedEnergy();
+				String line = "{" + "'id': " + id + ", " + "'name': '" + name + "', " + "'energy': " + energy + "}";
+				System.out.println(line);
+			}
+			for (PowerGpuHost host : (List<PowerGpuHost>) (List<?>) datacenter.getHostList()) {
+				{
+					System.out.println("+ Host");
+					int id = host.getId();
+					double cpuEnergy = datacenter.getHostCpuEnergyMap().get(host);
+					double totalEnergy = datacenter.getHostEnergyMap().get(host);
+					String hostType = LpdsTags.getHostType(host.getType());
+					String line = "{'id': " + id + ", " + "'type': '" + hostType + "', " + "'cpu_energy': "
+							+ dft.format(cpuEnergy).toString() + ", " + "'total_energy': "
+							+ dft.format(totalEnergy).toString() + "}";
+					System.out.println(line);
+				}
+				if (host.getVideoCardAllocationPolicy() != null) {
+					for (PowerVideoCard videoCard : (List<PowerVideoCard>) host.getVideoCardAllocationPolicy()
+							.getVideoCards()) {
+						System.out.println("+ VideoCard");
+						int id = videoCard.getId();
+						String type = LpdsTags.getVideoCardType(videoCard.getType());
+						double energy = datacenter.getHostVideoCardEnergyMap().get(host).get(videoCard);
+						String line = "{" + "'id': " + id + ", " + "'type': '" + type + "', " + "'energy': "
+								+ dft.format(energy).toString() + "}";
+						System.out.println(line);
+					}
+				}
+			}
+		}
+	}
+}
\ No newline at end of file

modules/cloudsim-examples/src/main/java/org/cloudbus/cloudsim/examples/gpu/lpds/LpdsTags.java

+package org.cloudbus.cloudsim.examples.gpu.lpds;
+
+/***
+ * 
+ * This class contains functions to translate integer entity types to their
+ * corresponding string representations.
+ * 
+ * @author Ahmad Siavashi
+ *
+ */
+public class LpdsTags {
+
+	private final static int UNKNOWN_TYPE = -1;
+
+	private final static int DUAL_INTEL_XEON_E5_2666_V3 = 0;
+	private final static int DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_K80 = 1;
+	private final static int DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_M60 = 2;
+
+	private final static String UNKNOWN_STR = "Unknonw";
+	private final static String DUAL_INTEL_XEON_E5_2666_V3_STR = "Dual Intel Xeon E5 2666 V3";
+	private final static String DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_K80_STR = "Dual Intel Xeon E5 2666 V3 Dual Nvidia K80";
+	private final static String DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_M60_STR = "Dual Intel Xeon E5 2666 V3 Dual Nvidia M60";
+
+	private final static int TESLA_K80 = 0;
+	private final static int TESLA_M60 = 1;
+
+	private final static String TESLA_K80_STR = "Tesla K80";
+	private final static String TESLA_M60_STR = "Tesla M60";
+
+	private final static int C4_LARGE = 0;
+	private final static int C4_XLARGE = 1;
+	private final static int C4_2XLARGE = 2;
+	private final static int C4_4XLARGE = 3;
+	private final static int C4_8XLARGE = 4;
+
+	private final static String C4_LARGE_STR = "c4.large";
+	private final static String C4_XLARGE_STR = "c4.xlarge";
+	private final static String C4_2XLARGE_STR = "c4.2xlarge";
+	private final static String C4_4XLARGE_STR = "c4.4xlarge";
+	private final static String C4_8XLARGE_STR = "c4.8xlarge";
+
+	public static int getHostType(String type) {
+		switch (type) {
+		case DUAL_INTEL_XEON_E5_2666_V3_STR:
+			return DUAL_INTEL_XEON_E5_2666_V3;
+		case DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_M60_STR:
+			return DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_M60;
+		case DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_K80_STR:
+			return DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_K80;
+		default:
+			return UNKNOWN_TYPE;
+		}
+	}
+
+	public static String getHostType(int type) {
+		switch (type) {
+		case DUAL_INTEL_XEON_E5_2666_V3:
+			return DUAL_INTEL_XEON_E5_2666_V3_STR;
+		case DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_M60:
+			return DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_M60_STR;
+		case DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_K80:
+			return DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_K80_STR;
+		default:
+			return UNKNOWN_STR;
+		}
+	}
+
+	public static String getVideoCardType(int type) {
+		switch (type) {
+		case TESLA_K80:
+			return TESLA_K80_STR;
+		case TESLA_M60:
+			return TESLA_M60_STR;
+		default:
+			return UNKNOWN_STR;
+		}
+	}
+
+	public static int getVideoCardType(String type) {
+		switch (type) {
+		case TESLA_K80_STR:
+			return TESLA_K80;
+		case TESLA_M60_STR:
+			return TESLA_M60;
+		default:
+			return UNKNOWN_TYPE;
+		}
+	}
+
+	public static String getVmType(int type) {
+		switch (type) {
+		case C4_LARGE:
+			return C4_LARGE_STR;
+		case C4_XLARGE:
+			return C4_XLARGE_STR;
+		case C4_2XLARGE:
+			return C4_2XLARGE_STR;
+		case C4_4XLARGE:
+			return C4_4XLARGE_STR;
+		case C4_8XLARGE:
+			return C4_8XLARGE_STR;
+		default:
+			return UNKNOWN_STR;
+		}
+	}
+
+	public static int getVmType(String type) {
+		switch (type) {
+		case C4_LARGE_STR:
+			return C4_LARGE;
+		case C4_XLARGE_STR:
+			return C4_XLARGE;
+		case C4_2XLARGE_STR:
+			return C4_2XLARGE;
+		case C4_4XLARGE_STR:
+			return C4_4XLARGE;
+		case C4_8XLARGE_STR:
+			return C4_8XLARGE;
+		default:
+			return UNKNOWN_TYPE;
+		}
+	}
+
+}

modules/cloudsim-examples/src/main/java/org/cloudbus/cloudsim/examples/gpu/lpds/LpdsWorkload.java

+package org.cloudbus.cloudsim.examples.gpu.lpds;
+
+import java.util.List;
+import java.util.Map;
+
+import com.fasterxml.jackson.databind.annotation.JsonDeserialize;
+import com.fasterxml.jackson.databind.annotation.JsonSerialize;
+
+public class LpdsWorkload {
+	@JsonSerialize
+	@JsonDeserialize
+	public List<LpdsDatacenter> datacenters;
+	@JsonSerialize
+	@JsonDeserialize
+	public Map<Integer, Integer> gpu_cloudlet_vm_map;
+	@JsonSerialize
+	@JsonDeserialize
+	public List<LpdsGpuCloudlet> gpu_cloudlets;
+	@JsonSerialize
+	@JsonDeserialize
+	public List<LpdsVm> vms;
+	@JsonSerialize
+	@JsonDeserialize
+	public LpdsBroker broker;
+	
+}
+
+class LpdsVgpu {
+	public int type;
+	public int memory;
+}
+
+class LpdsVm {
+	public int id;
+	public int num_vcpus;
+	public String type;
+	public float ram;
+	@JsonSerialize
+	@JsonDeserialize
+	public LpdsVgpu vgpu;
+}
+
+class LpdsGpuTask {
+	public int block_length;
+	public int num_blocks;;
+	public int gddram;
+	public String gddram_utilization_model;
+	public String gpu_utilization_model;
+}
+
+class LpdsGpuCloudlet {
+	public int id;
+	public int length;
+	public int num_pes;
+	public String tag;
+	public String cpu_utilization_model;
+	@JsonSerialize
+	@JsonDeserialize
+	public LpdsGpuTask gpu_task;
+}
+
+class LpdsBroker {
+	public String name;
+}
+
+class LpdsDatacenter {
+	public String name;
+	public double scheduling_interval;
+	@JsonSerialize
+	@JsonDeserialize
+	public List<LpdsHost> hosts;
+	public String vm_allocation_policy;
+}
+
+class LpdsHost {
+	public String type;
+	public int num_pes;
+	public int pe_mips;
+	public int ram;
+	public int peak_power;
+	public String video_card_allocation_policy;
+	@JsonSerialize
+	@JsonDeserialize
+	public List<LpdsVideoCard> video_cards;
+}
+
+class LpdsVideoCard {
+	@JsonSerialize
+	@JsonDeserialize
+	public LpdsGpu gpu;
+	public int num_gpus;
+	public String type;
+	public String gpu_selection_policy;
+	@JsonSerialize
+	@JsonDeserialize
+	public LpdsVideoCardPowerModel power_model;
+}
+
+class LpdsVideoCardPowerModel{
+	public double a3;
+	public double a2;
+	public double a1;
+	public double a0;
+}
+
+class LpdsGpu {
+	public int num_pes;
+	public int gddram;
+	public int pe_mips;
+}

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/GpuDatacenterBroker.java

@@ -32,7 +32,7 @@ import org.cloudbus.cloudsim.lists.VmList;
 public class GpuDatacenterBroker extends DatacenterBroker {
 
 	/** A structure to maintain VM-GpuCloudlet mapping */
-	private HashMap<String, List<GpuCloudlet>> VmGpuCloudletMap;
+	private HashMap<String, List<GpuCloudlet>> vmGpuCloudletMap;
 
 	/** The number of submitted gpuCloudlets in each vm. */
 	private HashMap<String, Integer> vmGpuCloudletsSubmitted;
@@ -107,11 +107,6 @@ public class GpuDatacenterBroker extends DatacenterBroker {
 			getCloudletList().removeAll(vmCloudlets);
 			getVmGpuCloudletMap().get(vmUid).removeAll(vmCloudlets);
 			getVmGpuCloudletMap().remove(vmUid);
-			// If this was the last cloudlet, then there is no need to hold
-			// vm-gpucloudlet mapping anymore.
-			if (getCloudletList().size() == 0) {
-				getVmGpuCloudletMap().clear();
-			}
 		} else {
 			Log.printConcatLine(CloudSim.clock(), ": ", getName(), ": Creation of VM #", vmId,
 					" failed in Datacenter #", datacenterId);
@@ -196,10 +191,17 @@ public class GpuDatacenterBroker extends DatacenterBroker {
 				throw new IllegalArgumentException("no such vm (Id #" + cloudlet.getVmId() + ") exists for cloudlet (#"
 						+ cloudlet.getCloudletId() + ")");
 			}
+			getVmGpuCloudletMap().get(vm.getUid()).add((GpuCloudlet) cloudlet);
+		}
+	}
+
+	@Override
+	public void submitVmList(List<? extends Vm> list) {
+		super.submitVmList(list);
+		for (Vm vm : vmList) {
 			if (!getVmGpuCloudletMap().containsKey(vm.getUid())) {
-				getVmGpuCloudletMap().put(vm.getUid(), new ArrayList<GpuCloudlet>());
+				getVmGpuCloudletMap().put(vm.getUid(), new ArrayList<>());
 			}
-			getVmGpuCloudletMap().get(vm.getUid()).add((GpuCloudlet) cloudlet);
 		}
 	}
 
@@ -222,7 +224,7 @@ public class GpuDatacenterBroker extends DatacenterBroker {
 	 * @return the vmGpuCloudletMap
 	 */
 	protected HashMap<String, List<GpuCloudlet>> getVmGpuCloudletMap() {
-		return VmGpuCloudletMap;
+		return vmGpuCloudletMap;
 	}
 
 	/**
@@ -230,6 +232,6 @@ public class GpuDatacenterBroker extends DatacenterBroker {
 	 *            the vmGpuCloudletMap to set
 	 */
 	protected void setGpuVmCloudletMap(HashMap<String, List<GpuCloudlet>> vmGpuCloudletMap) {
-		VmGpuCloudletMap = vmGpuCloudletMap;
+		this.vmGpuCloudletMap = vmGpuCloudletMap;
 	}
 }

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/GpuHost.java

@@ -132,7 +132,7 @@ public class GpuHost extends Host {
 		}
 		// if the VM has a vGPU but the host has no local video card -> fail.
 		else if (getVideoCardAllocationPolicy() == null) {
-			rollbackHostResourceAllocation(vm);
+			super.vmDeallocate(vm);
 			return false;
 		}
 		// if the VM has a vGPU and the host has local video card(s) -> check
@@ -141,7 +141,7 @@ public class GpuHost extends Host {
 		if (!isVgpuAllocated) {
 			Log.printConcatLine("[VmScheduler.vmCreate] Allocation of GPU accelerated VM #", vm.getId(), " to Host #",
 					getId(), " failed due to vgpu allocation failure.");
-			rollbackHostResourceAllocation(vm);
+			super.vmDeallocate(vm);
 			return false;
 		} // else -> success
 		getVmList().add(vm);
@@ -149,29 +149,15 @@ public class GpuHost extends Host {
 		return true;
 	}
 
-	/**
-	 * Deallocation of host resources for a given vm
-	 * 
-	 * @param vm
-	 *            the vm
-	 */
-	protected void rollbackHostResourceAllocation(Vm vm) {
-		getRamProvisioner().deallocateRamForVm(vm);
-		getBwProvisioner().deallocateBwForVm(vm);
-		getVmScheduler().deallocatePesForVm(vm);
-		setStorage(getStorage() + vm.getSize());
-	}
-
 	@Override
 	protected void vmDeallocate(Vm vm) {
 		// Vm deallocation */
-		rollbackHostResourceAllocation(vm);
+		super.vmDeallocate(vm);
 		// Vgpu deallocation
-		if (getVideoCardAllocationPolicy() != null) {
-			getVideoCardAllocationPolicy().deallocate(((GpuVm) vm).getVgpu());
+		Vgpu vgpu = ((GpuVm) vm).getVgpu();
+		if (vgpu != null && getVideoCardAllocationPolicy() != null) {
+			getVideoCardAllocationPolicy().deallocate(vgpu);
 		}
-		// vm removal
-		getVmList().remove(vm);
 	}
 
 	@Override

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/GpuVmAllocationPolicy.java

@@ -42,7 +42,7 @@ public abstract class GpuVmAllocationPolicy extends VmAllocationPolicy {
 	public void deallocateHostForVm(Vm vm) {
 		Host host = getVmTable().remove(vm.getUid());
 		if (host != null) {
-			Log.printLine("{'clock': " + CloudSim.clock() + ", 'event': 'vm deallocation',  'vm': " + vm.getId()
+			System.out.println("{'clock': " + CloudSim.clock() + ", 'event': 'vm deallocation',  'vm': " + vm.getId()
 					+ ", 'host': " + host.getId() + "}");
 			host.vmDestroy(vm);
 		}

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/GpuVmAllocationPolicySimple.java

@@ -44,7 +44,7 @@ public class GpuVmAllocationPolicySimple extends GpuVmAllocationPolicy {
 				getVmTable().put(vm.getUid(), host);
 				Log.formatLine("%.2f: VM #" + vm.getId() + " has been allocated to the host #" + host.getId(),
 						CloudSim.clock());
-				Log.printLine("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': " + vm.getId()
+				System.out.println("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': " + vm.getId()
 						+ ", 'host': " + host.getId() + "}");
 				return true;
 			}

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/allocation/VideoCardAllocationPolicy.java

@@ -107,6 +107,9 @@ public abstract class VideoCardAllocationPolicy {
 	 */
 	public boolean deallocate(Vgpu vgpu) {
 		VideoCard videoCard = getVgpuVideoCardMap().get(vgpu);
+		if(videoCard == null) {
+			return false;
+		}
 		videoCard.getVgpuScheduler().deallocatePgpuForVgpu(vgpu);
 		getVgpuVideoCardMap().remove(vgpu);
 		return true;

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/remote/RemoteGpuHost.java

@@ -128,7 +128,7 @@ public class RemoteGpuHost extends PowerGpuHost {
 		}
 		// if the VM has a local vGPU but the host has no local video card -> fail.
 		else if (getVideoCardAllocationPolicy() == null) {
-			rollbackHostResourceAllocation(vm);
+			super.vmDeallocate(vm);
 			return false;
 		}
 		// if the VM has a local vGPU and the host has local video card(s) -> check
@@ -137,7 +137,7 @@ public class RemoteGpuHost extends PowerGpuHost {
 		if (!isVgpuAllocated) {
 			Log.printConcatLine("[VmScheduler.vmCreate] Allocation of GPU accelerated VM #", vm.getId(), " to Host #",
 					getId(), " failed due to vgpu allocation failure.");
-			rollbackHostResourceAllocation(vm);
+			super.vmDeallocate(vm);
 			return false;
 		} // else -> success
 		getVmList().add(vm);
@@ -145,23 +145,6 @@ public class RemoteGpuHost extends PowerGpuHost {
 		return true;
 	}
 
-	@Override
-	protected void vmDeallocate(Vm vm) {
-		// vm removal
-		getVmList().remove(vm);
-		// Vm deallocation */
-		rollbackHostResourceAllocation(vm);
-		// get vgpu
-		Vgpu vgpu = ((GpuVm) vm).getVgpu();
-		// if the VM has no vGPU -> done
-		if (vgpu == null) {
-			return;
-		} else if (isVgpuLocal(vgpu) && getVideoCardAllocationPolicy() != null) {
-			// Vgpu deallocation
-			getVideoCardAllocationPolicy().deallocate(vgpu);
-		}
-	}
-
 	protected boolean isVgpuLocal(Vgpu vgpu) {
 		if (vgpu.getType() == RemoteVgpuTags.LOCAL_EXCLUSIVE || vgpu.getType() == RemoteVgpuTags.LOCAL_SHARED) {
 			return true;

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/remote/RemoteGpuVmAllocationPolicy.java

@@ -48,9 +48,7 @@ public abstract class RemoteGpuVmAllocationPolicy extends GpuVmAllocationPolicy{
 			boolean isVgpuAllocated = gpuHost.getVideoCardAllocationPolicy().allocate(vgpu, vgpu.getPCIeBw());
 			getRemoteVgpuHosts().put(vgpu, gpuHost);
 			if (isVgpuAllocated) {
-				Log.formatLine("%.2f: Vgpu of VM #" + vgpu.getVm().getId() + " has been allocated to the host #"
-						+ gpuHost.getId(), CloudSim.clock());
-				Log.printLine("{'clock': " + CloudSim.clock() + ", 'event': 'vgpu allocation',  'vm': "
+				System.out.println("{'clock': " + CloudSim.clock() + ", 'event': 'vgpu allocation',  'vm': "
 						+ vgpu.getVm().getId() + ", 'host': " + gpuHost.getId() + "}");
 				return true;
 			}

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/remote/RemoteGpuVmAllocationPolicyFirstFit.java

@@ -40,18 +40,14 @@ public class RemoteGpuVmAllocationPolicyFirstFit extends RemoteGpuVmAllocationPo
 			// if Vm has no Vgpu or has a local Vgpu which is allocated in vmCreate
 			else if (vgpu == null || !isVgpuRemote(vgpu)) {
 				getVmTable().put(vm.getUid(), host);
-				Log.formatLine("%.2f: VM #" + vm.getId() + " has been allocated to the host #" + host.getId(),
-						CloudSim.clock());
-				Log.printLine("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': " + vm.getId()
+				System.out.println("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': " + vm.getId()
 						+ ", 'host': " + host.getId() + "}");
 				return true;
 			}
 			// else if it has a remote vGPU, then
 			if (allocateRemoteVgpu(vgpu)) {
 				getVmTable().put(vm.getUid(), host);
-				Log.formatLine("%.2f: VM #" + vm.getId() + " has been allocated to the host #" + host.getId(),
-						CloudSim.clock());
-				Log.printLine("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': " + vm.getId()
+				System.out.println("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': " + vm.getId()
 						+ ", 'host': " + host.getId() + "}");
 				return true;
 			}

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/remote/RemoteGpuVmAllocationPolicyLeastLoad.java

@@ -41,9 +41,7 @@ public class RemoteGpuVmAllocationPolicyLeastLoad extends RemoteGpuVmAllocationP
 				boolean result = host.vmCreate(vm);
 				if (result) {
 					getVmTable().put(vm.getUid(), host);
-					Log.formatLine("%.2f: VM #" + vm.getId() + " has been allocated to the host #" + host.getId(),
-							CloudSim.clock());
-					Log.printLine("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': " + vm.getId()
+					System.out.println("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': " + vm.getId()
 							+ ", 'host': " + host.getId() + "}");
 					return true;
 				}
@@ -57,9 +55,7 @@ public class RemoteGpuVmAllocationPolicyLeastLoad extends RemoteGpuVmAllocationP
 					boolean result = host.vmCreate(vm);
 					if (result) {
 						getVmTable().put(vm.getUid(), host);
-						Log.formatLine("%.2f: VM #" + vm.getId() + " has been allocated to the host #" + host.getId(),
-								CloudSim.clock());
-						Log.printLine("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': "
+						System.out.println("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': "
 								+ vm.getId() + ", 'host': " + host.getId() + "}");
 						return true;
 					}
@@ -72,14 +68,12 @@ public class RemoteGpuVmAllocationPolicyLeastLoad extends RemoteGpuVmAllocationP
 						result = allocateRemoteVgpu(vgpu);
 						if (result) {
 							getVmTable().put(vm.getUid(), host);
-							Log.formatLine(
-									"%.2f: VM #" + vm.getId() + " has been allocated to the host #" + host.getId(),
-									CloudSim.clock());
-							Log.printLine("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': "
+							System.out.println("{'clock': " + CloudSim.clock() + ", 'event': 'vm allocation',  'vm': "
 									+ vm.getId() + ", 'host': " + host.getId() + "}");
 							return true;
 						}
-						getRemoteVgpuHosts().get(vgpu).getVideoCardAllocationPolicy().deallocate(vgpu);
+						// failed to find a remote GPU -> free allocated resources
+						host.vmDestroy(vm);
 					}
 				}
 			}

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/remote/RemoteVgpuTags.java

@@ -12,4 +12,20 @@ public class RemoteVgpuTags {
 	public static final int REMOTE_SHARED = 1;
 	public static final int LOCAL_EXCLUSIVE = 2;
 	public static final int LOCAL_SHARED = 3;
+	
+	
+	public static String getVgpuMode(int vgpuMode) {
+		switch (vgpuMode) {
+		case RemoteVgpuTags.REMOTE_EXCLUSIVE:
+			return "Remote Exclusive";
+		case RemoteVgpuTags.REMOTE_SHARED:
+			return "Remote Shared";
+		case RemoteVgpuTags.LOCAL_EXCLUSIVE:
+			return "Remote Exclusive";
+		case RemoteVgpuTags.LOCAL_SHARED:
+			return "Remote Shared";
+		default:
+			return "Unknown";
+		}
+	}
 }