Proceedings of the 4th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Bibliographic record
Abstract
We are pleased to welcome you to the Fourth ACM International Workshop on Performance Monitoring, Measurement, and Evaluation of Heterogeneous Wireless and Wired Networks (PM2HW2N'09), held this year in conjunction with the 12th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2009), on October 26-30, 2009 in Tenerife, Canary Islands (Spain). Following the success of the former three editions, which were held in Torremolinos (Málaga, Spain, 2006), in Chania (Crete Island, Greece, 2007), and in Vancouver (Canada, 2008), PM2HW2N'09 aims at providing researchers from both academia and industry with a forum to share and exchange their experiences, discuss challenges, and report state-of-the-art and in-progress research on all aspects of monitoring and measurement of heterogeneous wireless and wired networks with a specific emphasis on performance modeling, evaluation and analysis. In response to our call for papers, we have received a large number of papers related to the above research issues. All of the papers submitted have been peer-reviewed by at least two referees from the Technical Program Committee, with most of the papers being reviewed by three referees. Based on the outcome of the reviews, a good set of top papers has been selected for publication in this ACM proceedings and for presentation at the workshop as full papers.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".