power model added

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 double 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 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;
-}
-
-class LpdsGpu {
-	public int num_pes;
-	public int gddram;
-	public int pe_mips;
-}

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

-{
-    "broker": {
-        "name": "portal"
-    },
-    "datacenters": [
-        {
-            "hosts": [
-                {
-                    "num_pes": 40,
-                    "pe_mips": 46400,
-                    "ram": 60,
-                    "type": "DUAL_INTEL_XEON_E5_2666_V3",
-                    "video_card_allocation_policy": "simple",
-                    "video_cards": []
-                },
-                {
-                    "num_pes": 40,
-                    "pe_mips": 46400,
-                    "ram": 60,
-                    "type": "DUAL_INTEL_XEON_E5_2666_V3_DUAL_NVIDIA_M60",
-                    "video_card_allocation_policy": "simple",
-                    "video_cards": [
-                        {
-                            "gpu": {
-                                "gddram": 8192,
-                                "num_pes": 16,
-                                "pe_mips": 142592
-                            },
-                            "gpu_selection_policy": "simple",
-                            "num_gpus": 2,
-                            "type": "Tesla M60"
-                        }
-                    ]
-                }
-            ],
-            "name": "DC",
-            "scheduling_interval": 1.0,
-            "vm_allocation_policy": "simple"
-        }
-    ],
-    "gpu_cloudlet_vm_map": {
-        "0": 0
-    },
-    "gpu_cloudlets": [
-        {
-            "cpu_utilization_model": "high",
-            "gpu_task": {
-                "block_length": 132813,
-                "gddram": 512,
-                "gddram_utilization_model": "medium",
-                "gpu_utilization_model": "low",
-                "num_blocks": 128
-            },
-            "id": 0,
-            "length": 652977327,
-            "num_pes": 1,
-            "tag": "BFS"
-        }
-    ],
-    "vms": [
-        {
-            "id": 0,
-            "num_vcpus": 2,
-            "ram": 3.75,
-            "type": 1,
-            "vgpu": {
-                "memory": 1024,
-                "type": null
-            }
-        }
-    ]
-}
\ No newline at end of file

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/power/models/VideoCardPowerModelLinear.java

+package org.cloudbus.cloudsim.gpu.power.models;
+
+import java.util.Map;
+import java.util.Map.Entry;
+
+import org.cloudbus.cloudsim.gpu.Pgpu;
+
+/**
+ * Implements a power model where the power consumption is linear to resource
+ * usage and frequency.
+ * 
+ * @author Ahmad Siavashi
+ * 
+ */
+public class VideoCardPowerModelLinear implements VideoCardPowerModel {
+
+	private boolean powerGate;
+	private double a3, a2, a1, a0;
+	private int frequency;
+
+	/**
+	 * A power model where the power consumption is linear to resource usage and
+	 * frequency.
+	 * 
+	 * @param frequency
+	 *            nominal frequency of the device in MHz
+	 * @param a3
+	 *            constant parameter of the model
+	 * @param a2
+	 *            constant parameter of the model
+	 * 
+	 * @param a1
+	 *            constant parameter of the model
+	 * 
+	 * @param a0
+	 *            constant parameter of the model
+	 * 
+	 * @param powerGate
+	 *            power gates individual GPUs if they are idle
+	 */
+	public VideoCardPowerModelLinear(int frequency, double a3, double a2, double a1, double a0, boolean powerGate) {
+		this.powerGate = powerGate;
+		this.frequency = frequency;
+		this.a3 = a3;
+		this.a2 = a2;
+		this.a1 = a1;
+		this.a0 = a0;
+	}
+
+	@Override
+	public double getPower(Map<Pgpu, Double> pgpuUtilization, Map<Pgpu, Double> gddramUtilization,
+			double bwUtilization) {
+		double totalVideoCardPower = 0.0;
+		for (Entry<Pgpu, Double> entry : pgpuUtilization.entrySet()) {
+			Double utilization = entry.getValue();
+			double pgpuPower = 0.0;
+			if (!this.powerGate || this.powerGate && utilization > 0.0) {
+				pgpuPower = powerFunction(frequency, utilization);
+			}
+			totalVideoCardPower += pgpuPower;
+		}
+		return totalVideoCardPower;
+	}
+
+	/**
+	 * 
+	 * @param f
+	 *            pgpu frequency
+	 * @param u
+	 *            pgpu utilization
+	 * @return power consumption for the given f and u
+	 */
+	protected double powerFunction(double f, double u) {
+		u *= 100;
+		double power = a3 * f * u + a2 * f + a1 * u + a0;
+		return power;
+	}
+}

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/power/models/VideoCardPowerModelNvidiaGridK1.java

@@ -8,7 +8,7 @@ import org.cloudbus.cloudsim.gpu.Pgpu;
 import org.cloudbus.cloudsim.gpu.VideoCardTags;
 
 /**
- * Implements a power model for NVIDIA GRID K1 video card where the power consumption is linear to resource
+ * Implements a process variation-aware power model for NVIDIA GRID K1 video card where the power consumption is linear to resource
  * usage and frequency.
  * 
  * @author Ahmad Siavashi

modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/power/models/VideoCardPowerModelNvidiaGridK2.java

@@ -8,7 +8,7 @@ import org.cloudbus.cloudsim.gpu.Pgpu;
 import org.cloudbus.cloudsim.gpu.VideoCardTags;
 
 /**
- * Implements a power model for NVIDIA GRID K2 video card where the power
+ * Implements a process variation-aware power model for NVIDIA GRID K2 video card where the power
  * consumption is linear to resource usage and frequency.
  * 
  * @author Ahmad Siavashi

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

@@ -11,6 +11,7 @@ import org.cloudbus.cloudsim.gpu.Pgpu;
 import org.cloudbus.cloudsim.gpu.Vgpu;
 import org.cloudbus.cloudsim.gpu.VgpuScheduler;
 import org.cloudbus.cloudsim.gpu.VgpuSchedulerFairShare;
+import org.cloudbus.cloudsim.gpu.performance.PerformanceScheduler;
 import org.cloudbus.cloudsim.gpu.performance.PerformanceVgpuSchedulerFairShare;
 import org.cloudbus.cloudsim.gpu.performance.models.PerformanceModel;
 import org.cloudbus.cloudsim.gpu.selection.PgpuSelectionPolicy;
@@ -21,7 +22,7 @@ import org.cloudbus.cloudsim.util.MathUtil;
  * 
  * @author Ahmad Siavashi
  */
-public class RemoteVgpuSchedulerFairShare extends PerformanceVgpuSchedulerFairShare {
+public class RemoteVgpuSchedulerFairShare extends PerformanceVgpuSchedulerFairShare implements PerformanceScheduler<Vgpu> {
 
 	/**
 	 * Extends {@link VgpuSchedulerFairShare} to add support for GPU remoting.