Proceedings of the 2007 inaugural international conference on Distributed event-based systems
Bibliographic record
Abstract
The Inaugural International Conference on Distributed Event-Based Systems (DEBS) held in 2007 at the University of Toronto followed on the success of the previous five editions of the DEBS workshops held from 2002 to 2006 in companion with major conferences such as ICDCS, ICSE, and SIGMOD/PODS. The DEBS conference in 2007 was organized in cooperation with USENIX, the IEEE and the IEEE Computer Society, and ACM SIGMOD and ACM SIGSOFT. The objectives of the DEBS conference series are to provide a forum dedicated to the dissemination of original research, the discussion of practical insights, and the reporting on relevant experience relating to event-based computing that was previously scattered across several scientific and professional communities. The conference series aims at providing a forum for academia and industry to exchange ideas, for example, through industry papers and software demo papers. The DEBS series started as the amalgamation of two workshops independently proposed to the ICDCS 2001 conference organizing committee. One workshop was proposed by two research teams as a joint effort from Darmstadt University of Technology in Germany and University of Cambridge in England. The second workshop was proposed by a research team from University of Toronto. These two workshops joined efforts and started the DEBS series at ICDCS in Vienna in 2001. Event-based systems and event processing have been established in industry and research for many years. They are now gaining increasing momentum as witnessed by current efforts in areas including complex event processing, eventdriven architectures, business process management and modeling, Grid computing, Web service standardization efforts, and message-oriented middleware. DEBS intends to serve as a focal point to this vital, fast-growing community. The interdisciplinary scope of DEBS '07 included the design, the implementation, the deployment, and the evaluation of distributed event-based systems platforms and architectures for emerging computing environments. The conference discussed research on event processing in the context of peer-to-peer systems and under mobility, highlighted event processing concepts and models, presented security aspects of event-based systems, reported on event-driven business applications, and discussed novel routing and matching algorithms for event dissemination in distributed systems. The program of the conference included five invited keynote presentations, research paper presentations, industry and short paper presentations, a software demonstration and poster reception, and a panel. The technical conference program was assembled by an international program committee in a double-blind review process, with each submission receiving at least three reviews. A total of 74 papers were submitted to the conference, among which 14 full papers, 2 industry papers, and 10 short papers, 3 software demonstration papers, and 3 poster papers were selected for the technical program.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.051 | 0.018 |
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 source (direct Gemma or distilled Codex), 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".