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带宽异构网络下的精确修复再生码数据修复方案OA北大核心CSTPCD

Exact repair regeneration code data repair scheme under bandwidth heterogeneous networks

中文摘要英文摘要

再生码技术以高容错性、低冗余开销等优点在数据存储领域得到了广泛应用,但基于再生码的冗余技术在修复失效数据时需从其他帮助节点下载多个编码块.考虑到节点间链路带宽的异构性,在实际网络中链路可用带宽容量变化很大,网络流量最小化并不一定意味着数据修复时间最小化,并且现有针对带宽异构网络下的再生码数据修复方案难以支持精确地修复再生码.由于精确修复再生码具有特定的数学结构,其并行修复难以实现,因此提出一个在带宽异构网络下实现精确修复再生码的数据修复方案ERC-TREE,此方案通过构建一棵最优树来有效利用帮助节点之间的可用带宽,从而实现失效节点数据的精确修复.仿真实验结果表明,在带宽异构网络下采用树型结构修复对精确修复再生码具有可行性.在带宽差异很大的情况下,ERC-TREE的数据修复时间相比星型结构的修复时间减少78%.

Regeneration code technique has been widely used in the field of data storage with the ad-vantages of high fault tolerance and low redundancy overhead,but the redundancy technique based on regeneration codes needs to download multiple coded blocks from other providers for repairing the failed data.Considering the heterogeneity of link bandwidth between nodes,the available bandwidth capacity of links varies greatly in real networks,minimization of network traffic does not necessarily imply mini-mization of regeneration time.Moreover,existing regeneration code repair schemes for bandwidth het-erogeneity are difficult to support exact repair regeneration codes.Due to the specific mathematical structure of exact repair regeneration codes,their parallel repair is difficult to achieve.Therefore,ERC-TREE is proposed as a repair framework for exact repair regeneration codes under bandwidth heteroge-neous networks.This framework efficiently takes advantage of the available bandwidth between provid-ers by constructing an optimal tree to achieve exact repair of failed node data.The simulation experi-ment shows the feasibility of tree repair for exact repair regeneration codes in heterogeneous bandwidth environments.In the scenario with a significant difference in bandwidth,ERC-TREE reduces the data repair time by 78%compared to star repair.

王艳;皮婵娟;刘亚东;施君豪

华东交通大学软件学院,江西 南昌 330013

计算机与自动化

再生码数据存储异构网络树型修复精确修复

regeneration codedata storageheterogeneous networktree repairexact repair

《计算机工程与科学》 2024 (006)

1001-1012 / 12

国家自然科学基金(61962020);上海市智能信息处理重点实验室开放基金(IIPL201910)

10.3969/j.issn.1007-130X.2024.06.007

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