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Record W3215606372 · doi:10.1109/tsg.2021.3131682

Fast Path Recovery for Single Link Failure in SDN-Enabled Wide Area Measurement System

2021· article· en· W3215606372 on OpenAlex
Tong Duan, Venkata Dinavahi

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Smart Grid · 2021
Typearticle
Languageen
FieldComputer Science
TopicSoftware-Defined Networks and 5G
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsPath (computing)Computer scienceLink (geometry)Computer networkReliability engineeringEngineering

Abstract

fetched live from OpenAlex

In the wide area measurement system (WAMS), the end-to-end transmission delay between the phasor measurement unit (PMU) and phasor data concentrator (PDC) is strictly constrained for real-time monitoring and protection applications. When a communication link failure happens, fast path recovery is required to reduce the impact of measurement losses. In this work, the promising software-defined network (SDN) technique is leveraged to compute the re-routing path in a global view upon a single link failure. More specifically, a hybrid fast path recovery algorithm (HFPR-A) is proposed based on the principle of simplicity: in some cases, the shortest path or approximate shortest path between PMU and PDC can be recovered by <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">adding only one edge</i> to the original forwarding tree; while in the other cases, the shortest paths can be recovered with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">lower computational complexity</i> than the traditional Dijkstra’s algorithm. The proposed HFPR-A is implemented on the Ryu + Mininet testbed, and the simulation results on different IEEE benchmark test power systems show that the proposed HFPR-A could find shorter re-routing paths than the existing methods with a low-enough response time.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.206
Teacher spread0.177 · 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