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Record W2112265244 · doi:10.1109/vtcf.2006.504

Performance of Pub/Sub Systems in Wired/Wireless Networks

2006· article· en· W2112265244 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Vehicular Technology Conference · 2006
Typearticle
Languageen
FieldComputer Science
TopicPeer-to-Peer Network Technologies
Canadian institutionsCarleton University
Fundersnot available
KeywordsReliability (semiconductor)WorkloadComputer scienceWirelessCover (algebra)Wireless networkSet (abstract data type)Computer networkPublicationBaseline (sea)Reliability engineeringTelecommunicationsEngineeringOperating system

Abstract

fetched live from OpenAlex

This paper presents our experience in evaluating the performance of a JMS-based publish/subscribe system deployed in a wireless environment. In this paper, we identify a collection of workload factors that impact the reliability of message delivery and study their affects on the system's performance. We have mainly studied the behavior of two subscription schemes, durable and nondurable, along with a set of low/high reliability factors. The reliability cost is evaluated and compared with baseline data collected on a local-area, wired network. We have performed an extensive set of experiments to cover a broad range of factor combinations. Our results show that factors with high reliability tend to greatly affect the performance. Although the wireless scenario shows higher impact on the performance, the reliability costs are relatively low. We believe that our evaluation study provides valuable lessons to system designers and users.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.202
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it