Ranking service units for providing and protecting highly available services with load balancing
Bibliographic record
Abstract
In highly available systems, continuous load balancing in the presence of failure is essential to avoid performance degradation. The Availability Management Framework (AMF) is a middleware service that manages the availability of the applications' services by coordinating their provision among the application's redundant components. The application's components that collaborate to provide a service are logically grouped into a service unit (SU). For management purpose, the SU workload is abstracted as a service instance (SI). Redundant SUs that collaborate to protect a set of Sis are grouped into a service group (SG). The assignment of the Sis to the SUs is a runtime operation performed by AMF. For some redundancy models, NWay and NWayActive, this assignment is performed for each SI according to a predefined ranked list of the SUs in the SG. In this paper we discuss the challenges of defining this ranking at configuration time and propose an approach that automatically generates the ranked list of SUs at that time and guaranties continuous load balancing.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".