...
| Attribute | Required | Content | Values | Description |
|---|---|---|---|---|
| operation | NY | String | sum, min, max | The operation which will be a part of the objective function |
| operands | NY | List of operand object | The operand on which the operation is to be performed. The operand can be an attribute or result of a function | |
| inverse | N | Boolean | default : False | Flag to specify whether the objective function has to be inverted. |
operand object
| Attribute | Required | Content | Values | Description |
|---|---|---|---|---|
| weight | N | decimal | default: 1.0 | Weight of the operand |
| objective_function | N | Objective function object | ||
| 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. |
Examples
Scenario:
Scenario:
the function will be applied. The parameters will change for each function. |
Examples
1. Minimize an attribute of the demand
| Code Block | ||||
|---|---|---|---|---|
| ||||
{
"goal": "minimize",
"objective_function": {
"operand": [
{
"function": "attribute",
"params": {
"attribute": "latency",
"demand": "urllc_core"
}
}
],
"operation": "sum"
}
} |
2. Minimize the sum of the distance between the demand and the customer location.
objective function - distance_between(demand, location) + distance_between(demand, location)
...
| Code Block | ||||
|---|---|---|---|---|
| ||||
{
"goal": "minimize",
"objective_function": {
"operation": "sum",
"operands": [
{
"function": "distance_between",
"weight": 1.0,
"params": {
"demand": "vG",
"location": "customer_loc"
}
},
{
"function": "distance_between",
"weight": 1.0,
"params": {
"demand": "vFW",
"location": "customer_loc"
}
}
]
}
} |
Scenario:
Minimize the sum of latencies of slice subnets
objective function - latency(demand) + latency(demand)
| Code Block | ||||
|---|---|---|---|---|
| ||||
{
"goal": "minimize",
"objective_function": {
"operation": "sum",
"operands": [
{
"function": "attribute",
"weight": 1.0,
"params": {
"demand": "urllc_core",
"attribute": "latency"
}
},
{
"function": "attribute",
"weight": 1.0,
"params": {
"demand": "urllc_ran",
"attribute": "latency"
}
}
]
}
} |
Scenario:
Max [ sum ( W_bw * min (ran_nssi_bw, core_nssi_bw, tr_nssi_bw), 1/(W_lat * ( sum (w1 * ran_nssi_lat, w2 core_lat, W3* tn_lat)) ) ]
| Code Block | ||||
|---|---|---|---|---|
| ||||
{
"goal": "maximize",
"objective_function": {
"operation": "sum",
"operands": [
{
"objective_function": {
"operation": "min",
"operand": [
{
"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"
}
}
]
},
"weight": 2.0
},
{
"objective_function": {
"inverse": true,
"operation": "sum",
"operand": [
{
"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"
}
}
]
},
"weight": 1.0
}
]
}
} |
...