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Record W4389191913 · doi:10.22215/etd/2023-15726

Optimal Computational Task Offloading to a Edge Server with Firm Deadlines

2023· dissertation· en· W4389191913 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

Venuenot available
Typedissertation
Languageen
FieldComputer Science
TopicAge of Information Optimization
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer scienceMarkov decision processCloudletDynamic programmingCurse of dimensionalityMathematical optimizationTask (project management)Enhanced Data Rates for GSM EvolutionSignal processingDistributed computingState spaceComputationMarkov processReal-time computingDigital signal processingCloud computingAlgorithmArtificial intelligenceMathematicsComputer hardwareEngineering

Abstract

fetched live from OpenAlex

A system consists of a signal processing unit that has limited signal processing capabilities. Signal data entering the system constitute multiple segments that all have a corresponding deadline to be successfully processed or expires. The processing unit is able to offload data to a cloudlet with intermittent availability for remote processing. The goal in this system is to describe an optimal offloading policy. A Markov Decision Process (MDP) is used to model the aforementioned system and a Dynamic Programming (DP) equation is used to describe an optimal policy. This DP equation suffers from the "Curse of Dimensionality" which renders its computations intractable. A result is presented that allows one to evaluate this DP equation over a finite subset of the system state space. Properties of the optimal policy are described which can further reduce the computational load. Finally, numerical results are presented to verify the theoretical results.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.001

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.

Opus teacher head0.012
GPT teacher head0.253
Teacher spread0.241 · 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

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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