Managing the availability of VNFs with the availability management framework
Bibliographic record
Abstract
A Virtualized Network Function (VNF) is deployed as a cluster of VMs in the Network Functions Virtualization Infrastructure (NFVI). As in traditional telecom, VNFs are expected to provide the required functions at the requested level of availability. For this, one has to incorporate proper redundancy, and appropriate recovery and coordination mechanisms among the redundant entities. The Service Availability Forum (SA Forum) has standardized such mechanisms into a set of middleware services. Among them, the Availability Management Framework (AMF) has the responsibility of managing the availability of application services based on a configuration, called AMF configuration. We propose the use of AMF to manage the availability of the services provided by VNFs. For this, we map the AMF concepts to the Network Function Virtualization (NFV) domain and propose a method for the generation of AMF configurations for AMF managed VNFs. The approach generates an AMF configuration that meets the required level of availability of the requested service workload while aims at maximizing the resource utilization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| 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".