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Record W4293102003 · doi:10.4108/eetmca.v7i2.2415

Intelligent Distributed Data Storage for Wireless Communications in B5G Networks

2022· article· en· W4293102003 on OpenAlex
Yajuan Tang, Shiwei Lai, Yanyi Rao, Wen Zhou, Fusheng Zhu, Liming Chen, Dan Deng, Jing Wang, Tao Cui, Yuwei Zhang, Jun Liu, Di Wu, Zhusong Liu, Huang Huang, Xuan Zhou, Zhao Wang, Zichao Zhao, Chao Li, Kai Chen, Wei Zhou, Yun Li, Kaimeno Dube, Abbarbas Muazu, Nakilavai Rono, Sunli Feng, Jiayin Qin, Haige Xiang, Zhigang Cao, Lieguang Zeng, Zhixing Yang

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

VenueICST Transactions on Mobile Communications and Applications · 2022
Typearticle
Languageen
FieldComputer Science
TopicIoT and Edge/Fog Computing
Canadian institutionsHuawei Technologies (Canada)
FundersNational Natural Science Foundation of China-China Academy of General Technology Joint Fund for Basic Research
KeywordsComputer scienceOverhead (engineering)Distributed computingEnhanced Data Rates for GSM EvolutionComputer networkDistributed data storeComputer data storageEdge computingWirelessWireless networkTelecommunicationsComputer hardwareOperating system

Abstract

fetched live from OpenAlex

With the deployment and commercialization of the fifth-generation (5G) mobile communication network, the access nodes and data volume of wireless network show a massive and blowout growth trend. Taking beyond 5G (B5G) edge intelligent network as the research object, based on the deep integration of storage / computing and communication, this paper focuses on the theory and key technology of system intelligent transmission, so as to effectively support the related applications of B5G edge intelligent network in the future. This paper analyzes the research status of data storage, studies the real field distributed storage computing system, and designs the corresponding flashback shift code and error correction scheme with low storage space overhead.

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 categoriesScience and technology studies, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0070.001
Research integrity0.0000.001
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 head0.061
GPT teacher head0.316
Teacher spread0.256 · 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