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Record W2018213245 · doi:10.1287/opre.1060.0288

An Economic Analysis of Interconnection Arrangements Between Internet Backbone Providers

2006· article· en· W2018213245 on OpenAlex
Yong Tan, I. Robert Chiang, Vijay Mookerjee

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOperations Research · 2006
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsnot available
FundersUniversity of AlbertaCarnegie Mellon UniversityFord Motor Company
KeywordsPeeringService providerThe InternetComputer scienceIncentiveRevenueComputer networkQuality of serviceService (business)Network packetBusinessIndustrial organizationMicroeconomicsEconomicsMarketing

Abstract

fetched live from OpenAlex

Transit and peering arrangements among Internet backbone providers (IBPs) are essential for the global delivery of communication services on the Internet. In addition, to support delay-sensitive applications (e.g., streaming and multimedia applications) it is important for IBPs to maintain high service quality even if the network is congested. One promising approach is to establish interconnection agreements among providers to dynamically trade network capacity. To make such interconnections possible in a competitive setting, we propose a pricing scheme that considers factors such as network utilization, link capacity, and the cost structure of the interconnecting participants. Our analyses show that the common sender keeps all (SKA) mode of settlement does not provide adequate incentives for collaboration; rather, the provider that delivers the packets should be suitably compensated at an equilibrium price. Two price equilibria are identified: The first favors slower IBPs, whereas the other is congestion based and can be more beneficial for faster IBPs. When cost asymmetries exist, the lower cost IBP needs to offer a price discount to induce participation. We show that a usage-based, utilization-adjusted interconnection agreement could align the costs and revenues of the providers while allowing them to meet more stringent quality of service requirements.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.353
Teacher spread0.310 · 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