Comparison of Bandwidth Usage: Service Location Protocol and Jini
Why this work is in the frame
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Bibliographic record
Abstract
Recently there has been an increase in the development of technologies for resource discovery, since for example, resources such as printers, mail boxes, memory space, and disk space are available in every network, ready to be used for any host. This has been caused, in part, by the growth in the popularity of portable devices such as laptops, PDAs, and cell phones which require configuration each time they attach to a new network segment. Since the configuration of such devices is tedious and sometimes complicated, there have been some attempts in past years to solve this problem, such as the DHCP approach. This paper focuses on the bandwidth analysis of two new approaches for dealing with resource discovery: the Service Location Protocol (SLP) and Jini. This work is particularly important since the communication among the devices is often wireless, whereas bandwidth is a limited resource. We present equations for characterizing the usage of bandwidth made by SLP and Jini, based on their specification, on previous work and experiments.
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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) | 0.001 | 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 it