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On Weak Dress Codes for Cloud Storage

Information Theory · Submitted 15 Feb 2013

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Finally we present a simple generalized ring construction of both strong and weak fractional repetition codes.

how it is stated · asserted 1.00 read the record →

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arXiv ID1302.3681 (version 1)
Pith IDCWJHBWCU, Pith's permanent record of this paper and its review
CitationAnupam Agrawal, Deepak Yadav, Manish K Gupta. "On Weak Dress Codes for Cloud Storage." arXiv:1302.3681 (2013). https://pith.science/paper/CWJHBWCU
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,607 input tokens, $0.0003 reported.

What the abstract itself states, as probabilities: claims first 0.07 · states limitation 0.06 · human participants 0.01 · controlled comparison 0.03 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.24 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

In a distributed storage network, reliability and bandwidth optimization can be provided by regenerating codes. Recently table based regenerating codes viz. DRESS (Distributed Replication-based Exact Simple Storage) codes has been proposed which also optimizes the disk I/O. Dress codes consists of an outer MDS code with an inner fractional repetition (FR) code with replication degree $\rho$. Several constructions of FR codes based on regular graphs, resolvable designs and bipartite graphs are known. This paper presents a simple modular construction of FR codes. We also generalize the concept of FR codes to weak fractional repetition (WFR) codes where each node has different number of packets. We present a construction of WFR codes based on partial regular graph. Finally we present a simple generalized ring construction of both strong and weak fractional repetition codes.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In a distributed storage network, reliability and bandwidth optimization can be provided by regenerating codes. background 1.00 0.05 0.04 asserted 0.84
s1 Recently table based regenerating codes viz. background 1.00 0.05 0.02 unclear 0.80
s2 DRESS (Distributed Replication-based Exact Simple Storage) codes has been proposed which also optimizes the disk I/O. background 1.00 0.07 0.04 asserted 1.00
s3 Dress codes consists of an outer MDS code with an inner fractional repetition (FR) code with replication degree $\rho$. background 0.95 0.12 0.04 asserted 1.00
s4 Several constructions of FR codes based on regular graphs, resolvable designs and bipartite graphs are known. background 1.00 0.05 0.03 asserted 1.00
s5 This paper presents a simple modular construction of FR codes. contribution 1.00 0.91 0.19 asserted 1.00
s6 We also generalize the concept of FR codes to weak fractional repetition (WFR) codes where each node has different number of packets. contribution 1.00 0.92 0.12 asserted 1.00
s7 We present a construction of WFR codes based on partial regular graph. contribution 0.90 0.93 0.12 asserted 1.00
s8 Finally we present a simple generalized ring construction of both strong and weak fractional repetition codes. contribution 0.99 0.94 0.26 asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.96 · evidence from proof or derivation 0.94.

What was examined, and what was not

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  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

In a distributed storage network, reliability and bandwidth optimization can be provided by regenerating codes. Recently table based regenerating codes viz. DRESS (Distributed Replication-based Exact Simple Storage) codes has been proposed which also optimizes the disk I/O. Dress codes consists of an outer MDS code with an inner fractional repetition (FR) code with replication degree $\rho$. Several constructions of FR codes based on regular graphs, resolvable designs and bipartite graphs are known. This paper presents a simple modular construction of FR codes. We also generalize the concept of FR codes to weak fractional repetition (WFR) codes where each node has different number of packets. We present a construction of WFR codes based on partial regular graph. Finally we present a simple generalized ring construction of both strong and weak fractional repetition codes.

Human review
How the literature uses it

6 arXiv papers cite this in 8 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 2 sentences without a confident label

Cites it as background 5 papers

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