SE-Chain: A Scalable Storage and Efficient Retrieval Model for Blockchain

Jia, Dayu; Xin, Junchang; Wang, Zhi-Qiong; Han, Lei; Wang, Guoren

doi:10.1007/s11390-020-0158-2

Cited by 22 publications

(11 citation statements)

References 15 publications

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“…However, for the on-chain data, it is proved in practice that the design of new block data storage structure and corresponding indexes can effectively improve the query function and query performance. The index of on-chain data can either serve for real-time transaction verification [ 41 , 67 , 72 ] or improve the access efficiency of transaction history information [ 73 – 75 ]. In a word, a proper index of on-chain data provides not only higher real-time access efficiency in terms of performance, but also supports the traceability query based on historical data in terms of functionality.…”

Section: Discussionmentioning

confidence: 99%

“…Each transaction of SE-Chain [ 72 ] is maintained in the AB-M tree (adaptive balanced Merkle tree), which combines the advantages of balanced binary trees (fast retrieval) and Merkle trees (fast verification). Specifically, an AB-M tree is divided into two layers, the lower one is a Merkle tree, and the upper one is a binary tree containing node hash information, so as to meet the verification requirements from leaf node to root node.…”

Section: Database-oriented Blockchainsmentioning

confidence: 99%

See 1 more Smart Citation

A Survey on the Integration of Blockchains and Databases

Zhu

Zhong

et al. 2023

Data Sci. Eng.

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The success of blockchain technology in cryptocurrencies reveals its potential in the data management field. Recently, there is a trend in the database community to integrate blockchains and traditional databases to obtain security, efficiency, and privacy from the two distinctive but related systems. In this survey, we discuss the use of blockchain technology in the data management field and focus on the fusion system of blockchains and databases. We first classify existing blockchain-related data management technologies by their locations on the blockchain-database spectrum. Based on the taxonomy, we discuss three types of fusion systems and analyze their design spaces and trade-offs. Then, by further investigating the typical systems and techniques of each type of fusion system and comparing the solutions, we provide insights of each fusion model. Finally, we outline the unsolved challenges and promising directions in this field and believe that fusion systems will take a more important role in data management tasks. We hope this survey can help both academia and industry to better understand the advantages and limitations of blockchain-related data management systems and develop fusion systems that meet various requirements in practice.

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Section: Discussionmentioning

confidence: 99%

Section: Database-oriented Blockchainsmentioning

confidence: 99%

A Survey on the Integration of Blockchains and Databases

Zhu

Zhong

et al. 2023

Data Sci. Eng.

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“…It alleviates the storage pressure by reducing the amount of data that each participating node needs to store, and reduces the communication overhead by the nodes in the cluster cooperating to store and check blocks. Jia et al [28] proposed a blockchain storage capacity scalable model. The main idea is to store the blocks in the blockchain in a certain proportion in the nodes, and a strategy for blockchain data copy distribution is proposed.…”

Section: Related Workmentioning

confidence: 99%

Ring-Overlap: A Storage Scaling Mechanism for Hyperledger Fabric

Liu

Zhang

et al. 2022

Applied Sciences

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Currently, blockchain is facing a serious storage explosion problem. While most storage scaling schemes are focused on permissionless blockchain, we propose the ring-overlap mechanism for consortium blockchain and use it to scale Hyperledger Fabric. In our scheme, all accounting nodes are divided into clusters, and each cluster contains several nodes; then, a portion of the entire block data is stored in a cluster. Block data is stored overlappingly on some cluster nodes, and each block is guaranteed to have some copies in a cluster. Theoretical analysis and simulation show that the storage occupied by nodes is significantly reduced in blockchain applications with frequent transactions, and the mechanism can still guarantee data integrity in the case of partial node failures in a single cluster. Furthermore, for transaction-frequent applications, storage space consumption can be significantly reduced without increasing excessive query time overhead.

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“…However, the model can lead to the loss of transaction data and thus untraceability. Jia et al [21] proposed a storage capacity scalability model, which determines the number of its storage copies based on block security. Nodes are divided according to their functions, and each node is no longer required to store the complete blockchain information.…”

Section: Introductionmentioning

confidence: 99%

Lightweight Storage Framework for Blockchain-Enabled Internet of Things Under Cloud Computing

Qing¹,

Ye²,

Shi³

et al. 2023

Computers, Materials &Amp; Continua

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Due to its decentralized, tamper-proof, and trust-free characteristics, blockchain is used in the Internet of Things (IoT) to guarantee the reliability of data. However, some technical flaws in blockchain itself prevent the development of these applications, such as the issue with linearly growing storage capacity of blockchain systems. On the other hand, there is a lack of storage resources for sensor devices in IoT, and numerous sensor devices will generate massive data at ultra-high speed, which makes the storage problem of the IoT enabled by blockchain more prominent. There are various solutions to reduce the storage burden by modifying the blockchain's storage policy, but most of them do not consider the willingness of peers. In attempt to make the blockchain more compatible with the IoT, this paper proposes a storage optimization scheme that revisits the system data storage problem from a more practically oriented standpoint. Peers will only store transactional data that they are directly involved in. In addition, a transaction verification model is developed to enable peers to undertake transaction verification with the aid of cloud computing, and an incentive mechanism is premised on the storage optimization scheme to assure data integrity. The results of the simulation experiments demonstrate the proposed scheme's advantage in terms of storage and throughput.

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SE-Chain: A Scalable Storage and Efficient Retrieval Model for Blockchain

Cited by 22 publications

References 15 publications

A Survey on the Integration of Blockchains and Databases

A Survey on the Integration of Blockchains and Databases

Ring-Overlap: A Storage Scaling Mechanism for Hyperledger Fabric

Lightweight Storage Framework for Blockchain-Enabled Internet of Things Under Cloud Computing

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