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LPDS
gpucloudsim
Commits
b0f5a68b
Commit
b0f5a68b
authored
Nov 26, 2018
by
Ahmad Siavashi
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Remote GPU partial commit.
parent
e1e89aec
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11 changed files
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804 additions
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4 deletions
+804
-4
Lpds.java
...in/java/org/cloudbus/cloudsim/examples/gpu/lpds/Lpds.java
+425
-0
LpdsWorkload.java
...org/cloudbus/cloudsim/examples/gpu/lpds/LpdsWorkload.java
+99
-0
lpds_workload_manifest.json
...us/cloudsim/examples/gpu/lpds/lpds_workload_manifest.json
+72
-0
GpuHost.java
...dsim/src/main/java/org/cloudbus/cloudsim/gpu/GpuHost.java
+1
-0
UtilizationModelGaussian.java
...a/org/cloudbus/cloudsim/gpu/UtilizationModelGaussian.java
+62
-0
PerformanceGpuHost.java
...cloudbus/cloudsim/gpu/performance/PerformanceGpuHost.java
+0
-4
PowerGpuHost.java
...in/java/org/cloudbus/cloudsim/gpu/power/PowerGpuHost.java
+26
-0
GpuHostPowerModelNull.java
...dbus/cloudsim/gpu/power/models/GpuHostPowerModelNull.java
+24
-0
VideoCardPowerModelNull.java
...us/cloudsim/gpu/power/models/VideoCardPowerModelNull.java
+29
-0
RemoteGpuHost.java
.../java/org/cloudbus/cloudsim/gpu/remote/RemoteGpuHost.java
+10
-0
RemoteGpuVmSchedulerSpaceShared.java
.../cloudsim/gpu/remote/RemoteGpuVmSchedulerSpaceShared.java
+56
-0
No files found.
modules/cloudsim-examples/src/main/java/org/cloudbus/cloudsim/examples/gpu/lpds/Lpds.java
0 → 100644
View file @
b0f5a68b
package
org
.
cloudbus
.
cloudsim
.
examples
.
gpu
.
lpds
;
import
java.io.File
;
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.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.GridVgpuTags
;
import
org.cloudbus.cloudsim.gpu.Pgpu
;
import
org.cloudbus.cloudsim.gpu.UtilizationModelGaussian
;
import
org.cloudbus.cloudsim.gpu.Vgpu
;
import
org.cloudbus.cloudsim.gpu.VgpuScheduler
;
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.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.lists.VmList
;
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
;
import
de.vandermeer.asciitable.AsciiTable
;
public
class
Lpds
{
public
static
final
int
TYPE_CUSTOM
=
-
1
;
public
static
final
long
SEED
=
1
;
public
static
void
main
(
String
[]
args
)
{
try
{
// Loading workload description from file...
ObjectMapper
mapper
=
new
ObjectMapper
();
LpdsWorkload
workloadManifest
=
mapper
.
readValue
(
new
File
(
"//home//gpu//Desktop//gitlab//gpucloudsim//modules//cloudsim-examples//src//main//java//org//cloudbus//cloudsim//examples//gpu//lpds//lpds_workload_manifest.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
.
enable
();
CloudSim
.
startSimulation
();
CloudSim
.
stopSimulation
();
// Final step: Print results when simulation is over
List
<
Cloudlet
>
newList
=
broker
.
getCloudletReceivedList
();
printCloudletList
(
newList
,
vms
);
Log
.
printLine
(
"The End."
);
}
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
)
{
List
<
GpuVm
>
vms
=
new
ArrayList
<>();
int
vm_id
=
0
;
for
(
LpdsVm
vmManifest
:
vmsManifest
)
{
// 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
=
Long
.
MAX_VALUE
;
// 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
,
TYPE_CUSTOM
,
new
CloudletSchedulerTimeShared
());
vm_id
+=
1
;
if
(
vgpuManifest
!=
null
)
{
Vgpu
vgpu
=
createVgpu
(
vgpuManifest
);
vm
.
setVgpu
(
vgpu
);
}
vms
.
add
(
vm
);
}
return
vms
;
}
private
static
GpuTask
createGpuTask
(
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
(
0
,
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."
);
}
GpuTask
gpuTask
=
createGpuTask
(
gpuCloudletManifest
.
gpu_task
);
GpuCloudlet
gpuCloudlet
=
new
GpuCloudlet
(
gpuCloudletManifest
.
id
,
length
,
pesNumber
,
inputSize
,
outputSize
,
cpuUtilizationModel
,
ramUtilizationModel
,
bwUtilizationModel
,
gpuTask
);
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
GpuDatacenterBroker
(
name
);
}
catch
(
Exception
e
)
{
e
.
printStackTrace
();
return
null
;
}
return
broker
;
}
private
static
List
<
GpuDatacenter
>
createDatacenters
(
LpdsWorkload
workloadManifest
)
{
List
<
GpuDatacenter
>
datacenters
=
new
ArrayList
<>();
for
(
LpdsDatacenter
datacenterManifest
:
workloadManifest
.
datacenters
)
{
// We need to create a list to store our machine
List
<
GpuHost
>
hostList
=
new
ArrayList
<>();
int
hostId
=
0
;
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
(
i
,
new
PeProvisionerSimple
(
hostManifest
.
pe_mips
)));
}
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
<>();
int
videoCardId
=
0
;
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
(
k
,
peProvisioner
));
}
pgpus
.
add
(
new
Pgpu
(
j
,
pgpuPes
,
new
GpuGddramProvisionerSimple
(
gpu
.
gddram
),
new
GpuBwProvisionerSimple
(
Long
.
MAX_VALUE
)));
}
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
);
}
VgpuScheduler
vgpuScheduler
=
new
RemoteVgpuSchedulerFairShare
(
TYPE_CUSTOM
,
pgpus
,
pgpuSelectionPolicy
,
new
PerformanceModelGpuNull
());
VideoCard
videoCard
=
new
VideoCard
(
videoCardId
,
TYPE_CUSTOM
,
vgpuScheduler
,
videoCardBwProvisioner
);
videoCards
.
add
(
videoCard
);
videoCardId
+=
1
;
}
VideoCardAllocationPolicy
videoCardAllocationPolicy
=
null
;
switch
(
hostManifest
.
video_card_allocation_policy
)
{
case
"simple"
:
videoCardAllocationPolicy
=
new
VideoCardAllocationPolicySimple
(
videoCards
);
break
;
case
"least_load"
:
videoCardAllocationPolicy
=
new
VideoCardAllocationPolicyLeastLoad
(
videoCards
);
break
;
}
GpuHost
host
=
new
RemoteGpuHost
(
hostId
,
TYPE_CUSTOM
,
ramProvisioner
,
bwProvisioner
,
Long
.
MAX_VALUE
,
hostPes
,
vmScheduler
,
videoCardAllocationPolicy
);
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
GpuDatacenter
(
datacenterManifest
.
name
,
characteristics
,
vmAllocationPolicy
,
storageList
,
schedulingInterval
);
}
catch
(
Exception
e
)
{
e
.
printStackTrace
();
}
datacenters
.
add
(
datacenter
);
}
return
datacenters
;
}
private
static
void
printCloudletList
(
List
<
Cloudlet
>
cloudlets
,
List
<
GpuVm
>
vmlist
)
{
DecimalFormat
dft
=
new
DecimalFormat
(
"###.##"
);
for
(
Cloudlet
cloudlet
:
cloudlets
)
{
AsciiTable
at
=
new
AsciiTable
();
at
.
addRule
();
at
.
addRow
(
"Cloudlet ID"
,
"Status"
,
"Datacenter ID"
,
"VM ID"
,
"Time"
,
"Start Time"
,
"Finish Time"
);
at
.
addRule
();
if
(
cloudlet
.
getCloudletStatus
()
==
Cloudlet
.
SUCCESS
)
{
at
.
addRow
(
cloudlet
.
getCloudletId
(),
"SUCCESS"
,
cloudlet
.
getResourceId
(),
cloudlet
.
getVmId
(),
dft
.
format
(
cloudlet
.
getActualCPUTime
()).
toString
(),
dft
.
format
(
cloudlet
.
getExecStartTime
()).
toString
(),
dft
.
format
(
cloudlet
.
getFinishTime
()).
toString
());
at
.
addRule
();
}
GpuTask
gpuTask
=
((
GpuCloudlet
)
cloudlet
).
getGpuTask
();
if
(
gpuTask
!=
null
&&
gpuTask
.
getTaskStatus
()
==
GpuTask
.
SUCCESS
)
{
at
.
addRow
(
"Task ID"
,
"Cloudlet ID"
,
"Status"
,
"vGPU Profile"
,
"Time"
,
"Start Time"
,
"Finish Time"
);
at
.
addRule
();
at
.
addRow
(
gpuTask
.
getTaskId
(),
gpuTask
.
getCloudlet
().
getCloudletId
(),
"SUCCESS"
,
GridVgpuTags
.
getVgpuTypeString
(
((
GpuVm
)
VmList
.
getById
(
vmlist
,
gpuTask
.
getCloudlet
().
getVmId
())).
getVgpu
().
getType
()),
dft
.
format
(
gpuTask
.
getActualGPUTime
()).
toString
(),
dft
.
format
(
gpuTask
.
getExecStartTime
()).
toString
(),
dft
.
format
(
gpuTask
.
getFinishTime
()).
toString
());
at
.
addRule
();
}
at
.
getContext
().
setWidth
(
100
);
Log
.
print
(
at
.
render
());
Log
.
printLine
();
}
}
}
\ No newline at end of file
modules/cloudsim-examples/src/main/java/org/cloudbus/cloudsim/examples/gpu/lpds/LpdsWorkload.java
0 → 100644
View file @
b0f5a68b
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
0 → 100644
View file @
b0f5a68b
{
"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/GpuHost.java
View file @
b0f5a68b
...
...
@@ -61,6 +61,7 @@ public class GpuHost extends Host {
List
<?
extends
Pe
>
peList
,
VmScheduler
vmScheduler
)
{
super
(
id
,
ramProvisioner
,
bwProvisioner
,
storage
,
peList
,
vmScheduler
);
setType
(
type
);
setVideoCardAllocationPolicy
(
null
);
}
@Override
...
...
modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/UtilizationModelGaussian.java
0 → 100644
View file @
b0f5a68b
package
org
.
cloudbus
.
cloudsim
.
gpu
;
import
java.util.Random
;
import
org.cloudbus.cloudsim.UtilizationModel
;
public
class
UtilizationModelGaussian
implements
UtilizationModel
{
private
Random
random
;
private
double
mean
;
private
double
std
;
public
UtilizationModelGaussian
(
double
mean
,
double
std
)
{
setMean
(
mean
);
setStd
(
std
);
setRandom
(
new
Random
());
}
public
UtilizationModelGaussian
(
double
mean
,
double
std
,
long
seed
)
{
setMean
(
mean
);
setStd
(
std
);
setRandom
(
new
Random
(
seed
));
}
public
UtilizationModelGaussian
(
long
seed
)
{
this
(
0
,
1
,
seed
);
}
public
UtilizationModelGaussian
()
{
this
(
0
,
1
);
}
@Override
public
double
getUtilization
(
double
time
)
{
return
getRandom
().
nextGaussian
()
*
getStd
()
+
getMean
();
}
public
Random
getRandom
()
{
return
random
;
}
protected
void
setRandom
(
Random
random
)
{
this
.
random
=
random
;
}
public
double
getMean
()
{
return
mean
;
}
protected
void
setMean
(
double
mean
)
{
this
.
mean
=
mean
;
}
public
double
getStd
()
{
return
std
;
}
protected
void
setStd
(
double
std
)
{
this
.
std
=
std
;
}
}
modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/performance/PerformanceGpuHost.java
View file @
b0f5a68b
/**
*
*/
package
org
.
cloudbus
.
cloudsim
.
gpu
.
performance
;
import
java.util.ArrayList
;
...
...
@@ -10,7 +7,6 @@ import org.cloudbus.cloudsim.Pe;
import
org.cloudbus.cloudsim.Vm
;
import
org.cloudbus.cloudsim.VmScheduler
;
import
org.cloudbus.cloudsim.gpu.GpuHost
;
import
org.cloudbus.cloudsim.gpu.GpuVm
;
import
org.cloudbus.cloudsim.gpu.Vgpu
;
import
org.cloudbus.cloudsim.gpu.allocation.VideoCardAllocationPolicy
;
import
org.cloudbus.cloudsim.provisioners.BwProvisioner
;
...
...
modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/power/PowerGpuHost.java
View file @
b0f5a68b
...
...
@@ -10,6 +10,7 @@ import org.cloudbus.cloudsim.gpu.GpuVm;
import
org.cloudbus.cloudsim.gpu.VideoCard
;
import
org.cloudbus.cloudsim.gpu.allocation.VideoCardAllocationPolicy
;
import
org.cloudbus.cloudsim.gpu.performance.PerformanceGpuHost
;
import
org.cloudbus.cloudsim.gpu.power.models.GpuHostPowerModelNull
;
import
org.cloudbus.cloudsim.power.models.PowerModel
;
import
org.cloudbus.cloudsim.provisioners.BwProvisioner
;
import
org.cloudbus.cloudsim.provisioners.RamProvisioner
;
...
...
@@ -43,6 +44,19 @@ public class PowerGpuHost extends PerformanceGpuHost {
setPowerModel
(
powerModel
);
}
/**
*
* @see PerformanceGpuHost#PerformanceGpuHost(int, int, RamProvisioner,
* BwProvisioner, long, List, VmScheduler, VideoCardAllocationPolicy)
* erformanceGpuHost(int, int, RamProvisioner, BwProvisioner, long, List,
* VmScheduler, VideoCardAllocationPolicy)
*/
public
PowerGpuHost
(
int
id
,
int
type
,
RamProvisioner
ramProvisioner
,
BwProvisioner
bwProvisioner
,
long
storage
,
List
<?
extends
Pe
>
peList
,
VmScheduler
vmScheduler
,
VideoCardAllocationPolicy
videoCardAllocationPolicy
)
{
super
(
id
,
type
,
ramProvisioner
,
bwProvisioner
,
storage
,
peList
,
vmScheduler
,
videoCardAllocationPolicy
);
setPowerModel
(
new
GpuHostPowerModelNull
());
}
/**
*
* @see PerformanceGpuHost#PerformanceGpuHost(int, int, RamProvisioner,
...
...
@@ -55,6 +69,18 @@ public class PowerGpuHost extends PerformanceGpuHost {
setPowerModel
(
powerModel
);
}
/**
*
* @see PerformanceGpuHost#PerformanceGpuHost(int, int, RamProvisioner,
* BwProvisioner, long, List, VmScheduler) erformanceGpuHost(int, int,
* RamProvisioner, BwProvisioner, long, List, VmScheduler)
*/
public
PowerGpuHost
(
int
id
,
int
type
,
RamProvisioner
ramProvisioner
,
BwProvisioner
bwProvisioner
,
long
storage
,
List
<?
extends
Pe
>
peList
,
VmScheduler
vmScheduler
)
{
super
(
id
,
type
,
ramProvisioner
,
bwProvisioner
,
storage
,
peList
,
vmScheduler
);
setPowerModel
(
new
GpuHostPowerModelNull
());
}
/**
* Returns the current total utilization of host's CPUs.
*
...
...
modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/power/models/GpuHostPowerModelNull.java
0 → 100644
View file @
b0f5a68b
package
org
.
cloudbus
.
cloudsim
.
gpu
.
power
.
models
;
import
org.cloudbus.cloudsim.power.models.PowerModel
;
/**
* Implements a power model where the power consumption is zeroed out.
*
* @author Ahmad Siavashi
*
*/
public
class
GpuHostPowerModelNull
implements
PowerModel
{
/**
* The host will be zeroed out.
*/
public
GpuHostPowerModelNull
()
{
}
@Override
public
double
getPower
(
double
utilization
)
throws
IllegalArgumentException
{
return
0
;
}
}
modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/power/models/VideoCardPowerModelNull.java
0 → 100644
View file @
b0f5a68b
package
org
.
cloudbus
.
cloudsim
.
gpu
.
power
.
models
;
import
java.util.Map
;
import
org.cloudbus.cloudsim.gpu.Pgpu
;
/**
* Implements a power model for which zeroes out the video card power
* consumption.
*
* @author Ahmad Siavashi
*
*/
public
class
VideoCardPowerModelNull
implements
VideoCardPowerModel
{
/**
* Implements a power model for which zeroes out the video card power
* consumption. *
*/
public
VideoCardPowerModelNull
()
{
}
@Override
public
double
getPower
(
Map
<
Pgpu
,
Double
>
pgpuUtilization
,
Map
<
Pgpu
,
Double
>
gddramUtilization
,
double
bwUtilization
)
{
return
0
;
}
}
modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/remote/RemoteGpuHost.java
View file @
b0f5a68b
...
...
@@ -26,6 +26,16 @@ import org.cloudbus.cloudsim.provisioners.RamProvisioner;
*/
public
class
RemoteGpuHost
extends
PowerGpuHost
{
public
RemoteGpuHost
(
int
id
,
int
type
,
RamProvisioner
ramProvisioner
,
BwProvisioner
bwProvisioner
,
long
storage
,
List
<?
extends
Pe
>
peList
,
VmScheduler
vmScheduler
,
VideoCardAllocationPolicy
videoCardAllocationPolicy
)
{
super
(
id
,
type
,
ramProvisioner
,
bwProvisioner
,
storage
,
peList
,
vmScheduler
,
videoCardAllocationPolicy
);
}
public
RemoteGpuHost
(
int
id
,
int
type
,
RamProvisioner
ramProvisioner
,
BwProvisioner
bwProvisioner
,
long
storage
,
List
<?
extends
Pe
>
peList
,
VmScheduler
vmScheduler
)
{
super
(
id
,
type
,
ramProvisioner
,
bwProvisioner
,
storage
,
peList
,
vmScheduler
);
}
/**
* A {@link PowerGpuHost} which supports GPU remoting.
*/
...
...
modules/cloudsim/src/main/java/org/cloudbus/cloudsim/gpu/remote/RemoteGpuVmSchedulerSpaceShared.java
0 → 100644
View file @
b0f5a68b
package
org
.
cloudbus
.
cloudsim
.
gpu
.
remote
;
import
java.util.ArrayList
;
import
java.util.Iterator
;
import
java.util.List
;
import
org.cloudbus.cloudsim.Pe
;
import
org.cloudbus.cloudsim.Vm
;
import
org.cloudbus.cloudsim.VmSchedulerSpaceShared
;
public
class
RemoteGpuVmSchedulerSpaceShared
extends
VmSchedulerSpaceShared
{
public
RemoteGpuVmSchedulerSpaceShared
(
List
<?
extends
Pe
>
pelist
)
{
super
(
pelist
);
}
@Override
public
boolean
allocatePesForVm
(
Vm
vm
,
List
<
Double
>
mipsShare
)
{
// if there is no enough free PEs, fails
if
(
getFreePes
().
size
()
<
vm
.
getNumberOfPes
())
{
return
false
;
}
List
<
Pe
>
selectedPes
=
new
ArrayList
<
Pe
>();
Iterator
<
Pe
>
peIterator
=
getFreePes
().
iterator
();
Pe
pe
=
peIterator
.
next
();
double
totalMips
=
0
;
for
(
int
i
=
0
;
i
<
vm
.
getNumberOfPes
();
i
++)
{
selectedPes
.
add
(
pe
);
if
(!
peIterator
.
hasNext
())
{
break
;
}
pe
=
peIterator
.
next
();
totalMips
+=
pe
.
getPeProvisioner
().
getMips
();
}
if
(
vm
.
getNumberOfPes
()
>
selectedPes
.
size
())
{
return
false
;
}
List
<
Double
>
allocatedMips
=
new
ArrayList
<>();
for
(
Pe
selectedPe
:
selectedPes
)
{
allocatedMips
.
add
(
selectedPe
.
getPeProvisioner
().
getMips
());
}
vm
.
setCurrentAllocatedMips
(
allocatedMips
);
getFreePes
().
removeAll
(
selectedPes
);
getPeAllocationMap
().
put
(
vm
.
getUid
(),
selectedPes
);
getMipsMap
().
put
(
vm
.
getUid
(),
allocatedMips
);
setAvailableMips
(
getAvailableMips
()
-
totalMips
);
return
true
;
}
}
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