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Enregistrement W1967628564 · doi:10.1145/1008213.1008224

NC State scientists develop breakthrough internet protocol

2004· article· en· W1967628564 sur OpenAlexaboutno aff
Injong Rhee

Notice bibliographique

RevueComputers in entertainment · 2004
Typearticle
Langueen
DomaineComputer Science
ThématiqueDistributed and Parallel Computing Systems
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésThursdayThe InternetComputer scienceProtocol (science)TelecommunicationsState (computer science)Library scienceWorld Wide Web

Résumé

récupéré en direct d'OpenAlex

Dear Editor-in-Chief, Researchers in North Carolina State University's Department of Computer Science have developed a new data transfer protocol for the Internet. The protocol is named BIC-TCP, which stands for Binary Increase Congestion Transmission Control Protocol. In a recent comparative study run by the Stanford Linear Accelerator Center (SLAC), BIC consistently topped the rankings in a set of experiments that determined its stability, scalability and fairness in comparison with other protocols. The study tested six other protocols developed by researchers from schools around the world, including the California Institute of Technology and the University College of London. Dr. Injong Rhee, associate professor of computer science, said BIC can operate, given appropriate medium, at speeds approaching 10 gigabits per second (Gbps) which is roughly 6,000 times that of DSL and 150,000 times that of current modems. While this might eventually translate into music downloads in the blink of an eye, the potential value of such a protocol is a real eye-opener. Rhee and NC State colleagues Dr. Khaled Harfoush, assistant professor of computer science, and Lisong Xu, postdoctoral student, presented a paper on their findings in Hong Kong at Infocom 2004, the 23rd meeting of the Institution of Electrical and Electronics Engineers Communications Society, on Thursday, March 11. Many national and international computing labs are now involved in large-scale scientific studies of nuclear and high-energy physics, astronomy, geology and meteorology. Typically, Rhee said, "Data are collected at a remote location and need to be shipped to labs where scientists can perform analyses and create high-performance visualizations of the data." Visualizations might include satellite images or climate models used in weather predictions. Receiving the data and sharing the results can lead to massive congestion of current networks, even on the newest wide-area high-speed networks such as ESNet (Energy Sciences Network), which was created by the U.S. Department of Energy specifically for these types of scientific collaborations. The problem, Rhee said, is the inherent limitations of regular TCP. "The current form of TCP was originally designed in the 1980s when Internet speeds were much slower and bandwidths much smaller," he said. "Now we are trying to apply it to networks that have several orders of magnitude more available bandwidth." Essentially, we're using an eyedropper to fill a water main. BIC, on the other hand, would open the floodgate. Along with postdoctoral student Xu, Rhee has been working on developing BIC for the past year, although Rhee said he has been researching network congestion solutions for at least a decade. The key to BIC's speed is that it uses a binary search approach -- a fairly common way to search databases -- that allows for rapid detection of maximum network capacities with minimal loss of information. "While it may take classical TCP two hours to reach the full capacity use of a 10 Gbps pipe with 100-millisecond round trip time, BIC needs only a few seconds," Rhee said. The greatest challenge for the new protocol, he added, was to fill the pipe fast without starving out other protocols. "It's a tough balance," he said. By allowing the rapid transfer of increasingly large packets of information over long distances, the new protocol could boost the efficacy of cutting-edge applications ranging from telemedicine and real-time environmental monitoring to business operations and multi-user gaming. At NC State, researchers could more readily visualize, monitor and control real-time simulations and experiments conducted at remote computing clusters. BIC might even help avoid a national disaster: The recent blackout that affected large areas of the eastern United States and Canada underscored the need to spread data-rich backup systems across hundreds of thousands of miles. With network speeds doubling roughly annually, Rhee said the performance demonstrated by the new protocol could become commonly available in high-speed networks in the next few years. Sincerely, Injong Rhee rhee@csc.ncsu.edu

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,012
score de la tête « metaresearch » (Gemma)0,022
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,041
Score d'incertitude au seuil0,137

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,022
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0030,001
Communication savante0,0050,008
Science ouverte0,0030,005
Intégrité de la recherche0,0040,008
Charge utile insuffisante (le modèle a refusé de juger)0,0410,044

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,264
Écart entre enseignants0,251 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2004
Routes d'admission1
Résumé présentoui

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