SliceNet Optimizer Configuration
Configuration artifact for the SliceNet Edge Computing and Network Slicing Optimizer — solver policies, algorithms, subproblems, and KPI definitions.
Policies
| Policy | Objective |
|---|---|
min_cloud_cost |
Minimize cloud/regional compute and transfer cost |
min_latency |
Minimize end-to-end latency and SLA violations |
min_energy |
Minimize energy consumption and carbon emissions |
Algorithms
- First Fit Decreasing — greedy multi-dimensional bin packing
- Best Fit — cost-aware placement scoring
- Min-Cost Flow — NetworkX maximum-flow slice routing
- Local Search — iterative placement refinement
- MILP (CP-SAT) — OR-Tools mixed-integer placement
- Primal-Dual Online — online allocation with dual prices
Subproblems
Facility location, virtual network embedding, service function chaining, multi-commodity flow, bin packing, replica placement, autoscaling, failure recovery.
Related
- Space: edge-network-slicing-optimizer
- Dataset: slicenet-edge-slicing-scenarios
License
Apache 2.0