Bandwidth allocation and pricing for SDN-enabled home networks
Bibliographic record
Abstract
In this paper, we propose to combine the emerging software defined networking (SDN) paradigm with the existing residential broadband infrastructure to enable home users to have dynamic control over their traffic flows. The SDN centralized control technology enables household devices to have virtualized services with quality of service (QoS) guarantee. SDN-enabled open application programming interfaces (APIs) allow Internet service providers (ISPs) to perform bandwidth slicing in home networks and implement time-dependent hybrid pricing. Given the requests from household devices for virtualized and non-virtualized services, we formulate a Stackelberg game to characterize the pricing strategy of ISP as well as bandwidth allocation strategy in home networks. In the Stackelberg game, the leader is the ISP and the followers are the home networks. We determine the optimal strategies which provide maximal payoff for the ISP. Numerical results show that our proposed SDN-enabled home network technology with the hybrid pricing scheme provides a better performance than a usage-based pricing scheme tailored for best-effort home networks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".