Performance evaluation and benchmarking of the JXTA peer-to-peer platform
Bibliographic record
Abstract
Peer-to-peer (P2P) systems are a relatively new addition to the large area of distributed computer systems.The emphasis on sharing resources, self-organization and use of discovery mechanisms sets the P2P systems apart from other forms of distributed computing.Project JXTA is the first P2P application development platform, consisting of standard protocols, programming tools and multilanguage implementations.A JXTA peer network is a complex overlay, constructed on top of the physical network, with its own identification scheme and routing.This thesis investigates the performance of JXTA using benchmarking.The presented work includes the development of the JXTA Performance Model and Benchmark Suite, as well as the collection and analysis of the performance results.By evaluating List of Abbreviations API Application Programming Interface CPU Central Processing Unit DNS Domain Name System DHT Distributed Hash Table GB Gigabyte GHz Gigahertz HTTP Hypertext Transfer Protocol IP Internet Protocol ISP Internet Service Provider JXTA From "juxtapose" -a peer-to-peer platform JVM Java Virtual Machine KB Kilobyte Kbps Kilobits per second LAN Local Area Network MB Megabyte Mbps Megabits
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".