Bibliographic record
Abstract
Replication is a technique widely used for achieving qualities like scalability, high performance, high availability and fault tolerance in computer systems. Consistency of the system state is another quality that may also vary as a side effect of replication. There are various configurations of replication architecture and of replica control protocols that provide various levels of these system qualities. In this paper we determine an optimal overall configuration, called the OSSR (Optimal Single Site Replication) Configuration, to maximize performance and scalability based on single site replication. We propose a corresponding OSSR Protocol that implements this configuration. The OSSR Protocol provides optimal or near optimal performance and scalability for both read and write intensive applications. While increased performance from existing replication protocols comes at the cost of reduced consistency, the OSSR Protocol provides a consistency guarantee good enough for most applications. We compare the performance and scalability of this protocol with three other protocols, each having a variation in one of the configuration parameters, to demonstrate its optimality.
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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".