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Sequence diagram
Interfaces
- NSI selection Request
- Input: Service profile
- NST details
- NSST details with subnet capabilities
- reuse: true/false
- Fetch Optimization policies
- Demand policy for NSI and Slice profiles
- Constraint policies for Selection
- Optimization policies for NSI selection and slice profile generation.
- NSI selection request - HAS
- Demand: NSI
- Constraint: Threshold policy, New policy(for CoverageArea )??
- Optimization: Maximize/minimize the service profile parameters
- Fetch NSI for AAI
- Input: NST info
- Output: List of NSIs as candidates
- Run Optimization
- Consolidated Solution based on the policy
- Solution List. Solution object can have NSI/Slice profiles
Note:
For the non-shared scenario, Only slice profiles will be generated. HAS need not fetch the existing NSIs.
Demand
Candidates:
- NSI (AAI Inventory)
- Slice profiles (Generator)
Demand Examples:
Note: Filtering attributes will have the upper and lower bounds for each subnet(based on capability set and service profile)
Note: Creation cost will come from policy
List of Constraints
- Threshold Constraint (Matching NSI and slice profile tuple)
NSI Selection Policies
Demand Policy(NSI)
- Demand name(NST)
- For NSI
- inventory provider (AAI)
- Inventory type(nsi)
- filtering attributes
- Uniqueness
- Passthrough attributes
- For Slice profiles
- inventory provider (Generator)
- Inventory type(slice_profiles)
- filtering attributes
- Uniqueness
- Passthrough attributes
Threshold Policy
- Demand name(NST)
- List of Constraints
Query policy
- Existing (All service profile parameters)
Optimization policy
- minimize latency
- maximize throughput
- minimize creation cost
- maximize creation cost
HAS Candidates
NSI candidate
Slice profiles Candidate
Consumed APIs (AAI)
GET NSI info from AAI
{"service-instance": [{
"service-instance-id": "1a636c4d-5e76-427e-bfd6-241a947224b0",
"service-instance-name": "nsi_test_0211",
"service-type": "urllc",
"service-role": "nsi",
"service-function": "shared",
"model-invariant-id": "21d57d4b-52ad-4d3c-a798-248b5bb9124a",
"model-version-id": "bfba363e-e39c-4bd9-a9d5-1371c28f4d22",
"resource-version": "1581418601616",
"orchestration-status": "active",
"relationship-list": {
"relationship": [
{
"related-to": "service-instance",
"relationship-label": "org.onap.relationships.inventory.ComposedOf",
"related-link": "/aai/v16/business/customers/customer/5GCustomer/service-subscriptions/service-subscription/5G/service-instances/service-instance/4115d3c8-dd59-45d6-b09d-e756dee9b518",
"relationship-data": [
{
"relationship-key": "customer.global-customer-id",
"relationship-value": "5GCustomer"
},
{
"relationship-key": "service-subscription.service-type",
"relationship-value": "5G"
},
{
"relationship-key": "service-instance.service-instance-id",
"relationship-value": "4115d3c8-dd59-45d6-b09d-e756dee9b518"
}
],
"related-to-property": [
{
"property-key": "service-instance.service-instance-name",
"property-value": "nsi_test_0211"
}
]
}
]
},
"service-profiles": {
"service-profile": [
{
"profile-id": "cdad9f49-4201-4e3a-aac1-b0f27902c299",
"latency": 20,
"max-number-of-UEs": 0,
"coverage-area-TA-list": "[{\"province\":\"??\",\"city\":\"???\",\"county\":\"???\",\"street\":\"?????\"}]",
"ue-mobility-level": "stationary",
"resource-sharing-level": "0",
"exp-data-rate-UL": 100,
"exp-data-rate-DL": 100,
"activity-factor": 0,
"e2e-latency": 0,
"jitter": 0,
"survival-time": 0,
"exp-data-rate": 0,
"payload-size": 0,
"traffic-density": 0,
"conn-density": 0,
"resource-version": "1581418602494"
}
]
}
}]}
Optimization Policies
Demand policy
{
"OSDF_FRANKFURT.vnfPolicy_URLLC": {
"metadata": {
"policy-id": "OSDF_FRANKFURT.vnfPolicy_URLLC",
"policy-version": 1
},
"properties": {
"applicableResources": "any",
"identity": "vnf_URLLC",
"resources": [
"URLLC"
],
"scope": [
"OSDF_FRANKFURT",
"URLLC"
],
"services": [
"URLLC"
],
"vnfProperties": [
{
"attributes": {
"modelInvariantId": "bfbg3636-e39c-iidd-0987-27c28f4oo3",
"modelVersionId": "bfbg3636-e39c-iidd-0987-27c28f4d33",
"service-function": "shared",
"service-role": "nsi"
},
"inventoryProvider": "aai",
"inventoryType": "nsi",
"unique": "true"
},
{
"attributes": {
"core": {
"latency": {
"max": 20,
"min": 5,
"steps": 1
},
"reliability": {
"values": [
99.9,
99.999
]
}
},
"ran": {
"latency": {
"max": 20,
"min": 10,
"steps": 1
},
"reliability": {
"values": [
99.9,
99.9
]
}
},
"transport": {
"latency": {
"max": 20,
"min": 7,
"steps": 1
},
"reliability": {
"values": [
99.9,
99.99
]
}
}
},
"inventoryProvider": "generator",
"inventoryType": "slice_profiles",
"unique": "true"
}
]
},
"type": "onap.policies.optimization.resource.VnfPolicy",
"type_version": "1.0.0",
"version": "1.0.0"
}
}
Threshold Policy
{
"OSDF_FRANKFURT.Threshold_URLLC": {
"metadata": {
"policy-id": "OSDF_FRANKFURT.Threshold_URLLC",
"policy-version": 1
},
"properties": {
"geography": [],
"identity": "Threshold_URLLC",
"resources": [
"URLLC"
],
"scope": [
"OSDF_FRANKFURT",
"URLLC"
],
"services": [
"URLLC"
],
"thresholdProperties": [
{
"attribute": "latency",
"operator": "lte",
"threshold": {
"get_param": "latency"
},
"unit": "ms"
},
{
"attribute": "reliability",
"operator": "gte",
"threshold": {
"get_param": "reliability"
},
"unit": ""
}
]
},
"type": "onap.policies.optimization.resource.ThresholdPolicy",
"type_version": "1.0.0",
"version": "1.0.0"
}
}
{
"OSDF_FRANKFURT.queryPolicy_URLLC": {
"type": "onap.policies.optimization.service.QueryPolicy",
"version": "1.0.0",
"type_version": "1.0.0",
"metadata": {
"policy-id": "OSDF_FRANKFURT.queryPolicy_URLLC",
"policy-version": 1
},
"properties": {
"scope": [
"OSDF_FRANKFURT"
],
"services": [
"URLLC"
],
"geography": [
"US"
],
"identity": "queryPolicy_URLLC",
"queryProperties": [
{
"attribute": "latency",
"attribute_location": "latency"
},
{
"attribute": "reliability",
"attribute_location": "reliability"
}
]
}
}
}
Optimization Policy
{
"OSDF_FRANKFURT.minimizeCost_URLLC": {
"metadata": {
"policy-id": "OSDF_FRANKFURT.minimizeCost_URLLC",
"policy-version": 1
},
"properties": {
"geography": [],
"identity": "optimization",
"objective": "minimize",
"objectiveParameter": {
"operator": "sum",
"parameterAttributes": [
{
"operator": "product",
"parameter": "creation_cost",
"resources": [
"URLLC"
],
"weight": "1"
}
]
},
"resources": [
"URLLC"
],
"scope": [
"OSDF_FRANKFURT",
"REUSE"
],
"services": [
"URLLC"
]
},
"type": "onap.policies.optimization.resource.OptimizationPolicy",
"type_version": "1.0.0",
"version": "1.0.0"
}
}
{
"OSDF_FRANKFURT.maximizeCost_URLLC": {
"metadata": {
"policy-id": "OSDF_FRANKFURT.maximizeCost_URLLC",
"policy-version": 1
},
"properties": {
"geography": [],
"identity": "optimization",
"objective": "maximize",
"objectiveParameter": {
"operator": "sum",
"parameterAttributes": [
{
"operator": "product",
"parameter": "creation_cost",
"resources": [
"URLLC"
],
"weight": "1"
}
]
},
"resources": [
"URLLC"
],
"scope": [
"OSDF_FRANKFURT",
"CREATE_NEW"
],
"services": [
"URLLC"
]
},
"type": "onap.policies.optimization.resource.OptimizationPolicy",
"type_version": "1.0.0",
"version": "1.0.0"
}
}