SDN-Based Service Function Chaining Framework for Kubernetes Cluster Using OvS
Bibliographic record
Abstract
The ongoing demand for deploying Virtual Network Functions (VNFs) in cloud environments is driving the motivation to also deploy and enable Service Function Chaining (SFC). However, deploying SFC in a cloud environment includes multiple subproblems such as implementing an SFC-compatible infrastructure, routing design, placement, and scaling. We believe the deployment of SFC-compatible infrastructures and the routing design issues need further attention as they are fundamental constituents of SFC-enabled cloud environments. In this paper, we present a new flexible SFC framework using a multi-nodes Kubernetes cluster, a Software-Defined Networking (SDN) controller, and an OpenFlow-enabled virtual switch known as Open vSwitch (OvS) to deploy and steer the user traffic to a distributed SFC. We demonstrate the correctness of the proposed SFC framework by monitoring the OvS flow table on Kubernetes worker nodes.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".