| Table of Contents |
|---|
Existing Optimization Models
Minimize an unweighted value
...
| Code Block | ||||
|---|---|---|---|---|
| ||||
{
"minimize": {
"sum": [
{
"product": [
100,
{
"distance_between": [
"customer_loc",
"vG"
]
}
]
},
{
"product": [
200,
{
"hpa_score": [
"vG"
]
}
]
}
]
}
}
|
New Optimization Model
Objective Function Object
...
| Attribute | Required | Content | Values | Description |
|---|---|---|---|---|
| normalization | N | normalization object | Set of values used to normalize the operand | |
| weight | N | Decimal | Default: 1.0 | Weight of the function |
| operation_function | N | operation function object |
function operand object
| Attribute | Required | Content | Values | Description |
|---|---|---|---|---|
| normalization | N | normalization object | Set of values used to normalize the operand | |
| weight | N | Decimal | Default: 1.0 | Weight of the function |
| function | N | String | distance_between, latency_between, attribute | Function to be performed on the parameters |
| fucntion_params | N | dict | parameters on which the function will be applied. The parameters will change for each function. |
Normalization object
| Attribute | Required | Content | Values | Description |
|---|---|---|---|---|
| start | Y | Decimal | Start of the range | |
| end | Y | Decimal | End of the range |
JSON Schema
| View file | ||||
|---|---|---|---|---|
|
Examples
1. Minimize an attribute of the demand
| Code Block | ||||
|---|---|---|---|---|
| ||||
{
"goal": "minimize",
"operation_function": {
"operandoperands": [
{
"function": "attribute",
"params": {
"attribute": "latency",
"demand": "urllc_core"
}
}
],
"operator": "sum"
}
} |
...
| Code Block | ||||
|---|---|---|---|---|
| ||||
{
"goal": "maximize",
"operation_function": {
"operator": "sum",
"operands": [
{
"operation_function": {
"operator": "min",
"operandoperands": [
{
"weight": 1.0,
"function": "attribute",
"params": {
"demand": "urllc_core",
"attribute": "throughput"
}
},
{
"weight": 1.0,
"function": "attribute",
"params": {
"demand": "urllc_ran",
"attribute": "throughput"
}
},
{
"weight": 1.0,
"function": "attribute",
"params": {
"demand": "urllc_transport",
"attribute": "throughput"
}
}
]
},
"normalization": {
"start": 100,
"end": 1000
},
"weight": 2.0
},
{
"operation_function": {
"inverse": true,
"operator": "sum",
"operandoperands": [
{
"weight": 1.0,
"function": "attribute",
"params": {
"demand": "urllc_core",
"attribute": "latency"
}
},
{
"weight": 1.0,
"function": "attribute",
"params": {
"demand": "urllc_ran",
"attribute": "latency"
}
},
{
"weight": 1.0,
"function": "attribute",
"params": {
"demand": "urllc_transport",
"attribute": "latency"
}
}
]
},
"normalization": {
"start": 50,
"end": 5
},
"weight": 1.0
}
]
}
} |
...
| candidate throughput | Normalized value |
|---|---|
| 300 Mbps | 0.222 |
| 800 Mbps | 0.778 |
Impact Analysis
API - no impact
Controller
Template version upgrade
New parser for the optimization model
Data - no impact
Solver
A new solver for the model (recursive solver)
...