SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System

Zhang, Jianting; Hong, Zicong; Qiu, Xiaoyu; Zhan, Yufeng; Guo, Song; Chen, Wuhui

doi:10.1145/3404397.3404460

Cited by 31 publications

(7 citation statements)

References 13 publications

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“…The account/balance model means that the system records the balance of each account, and the system checks whether the account has sufficient balance for payment when a transaction is made. Multiple transactions for the same account can be guaranteed to be processed in the same shard as long as the transactions are shared according to the sender's address (Zhang et al, 2020). Blockchains based on a sharding scheme may have uneven transaction shards (Nguyen et al, 2019) and therefore need to be reasonably designed to allocate resources (Huang et al, 2022).…”

Section: Transaction Shardingmentioning

confidence: 99%

An overview of blockchain efficient interaction technologies

Liu

He²,

Li³

et al. 2023

Front. Blockchain

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The successful operation of Bitcoin has made its underlying blockchain technology receive wide attention. As the application scenarios of blockchain technology are enriched, the requirements for its performance are getting higher. Therefore, it is of utmost importance to effectively solve the problem of high-performance data interaction in the blockchain. In this paper, based on relevant domestic and foreign research literature, we start from the development history of blockchain technology and review the relevant research work on improving the performance of blockchain from three perspectives: on-chain interaction technology, off-chain interaction technology, and cross-chain interaction technology in turn. The on-chain and off-chain interaction technologies improve performance by improving the architecture of the blockchain system. The performance improvement solution of on-chain interaction technology is to modify and optimize the basic protocol and architecture of the blockchain itself to achieve a performance improvement. Still, the impact of this approach is limited in terms of performance improvement. The performance improvement solution of off-chain interaction technology is to transfer part of the data processing to off-chain and only return the final result to on-chain for storage and recording, which reduces the burden of on-chain operation and improves the efficiency of data processing. In terms of cross-chain interaction technology, this paper analyses four mainstream technology, namely, Notary Scheme, Side chain and Chain relay, Hash-Locking, and Distributed Private Key Control, and ultimately concludes through comparative analysis that cross-chain technology has a significant impact on improving blockchain performance. Finally, the paper provides a systematic overview of the above and an outlook on the possible future development of technologies related to enhancing blockchain performance.

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Section: Transaction Shardingmentioning

confidence: 99%

An overview of blockchain efficient interaction technologies

Liu

He²,

Li³

et al. 2023

Front. Blockchain

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“…Consequently, this approach may lead to several security issues (e.g., data loss, single shard attack). Particularly, a shard may be compromised and lead to data leakage [20] [21]. Besides the security issues, blockchain sharding can suffer from a wide range of security challenges, such as data interoperability or data validity.…”

Section: Related Workmentioning

confidence: 99%

Towards a Scalable and Trustworthy Blockchain: IoT Use Case

Moudoud,

Cherkaoui,

Khoukhi

2022

Preprint

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Recently, blockchain has gained momentum as a novel technology that gives rise to a plethora of new decentralized applications (e.g., Internet of Things (IoT)). However, its integration with the IoT is still facing several problems (e.g., scalability, flexibility). Provisioning resources to enable a large number of connected IoT devices implies having a scalable and flexible blockchain. To address these issues, we propose a scalable and trustworthy blockchain (STB) architecture that is suitable for the IoT; which uses blockchain sharding and oracles to establish trust among unreliable IoT devices in a fully distributed and trustworthy manner. In particular, we design a Peer-To-Peer oracle network that ensures data reliability, scalability, flexibility, and trustworthiness. Furthermore, we introduce a new lightweight consensus algorithm that scales the blockchain dramatically while ensuring the interoperability among participants of the blockchain. The results show that our proposed STB architecture achieves flexibility, efficiency, and scalability making it a promising solution that is suitable for the IoT context.

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“…Many studies use this paradigm in an agent-centric sense to analyze blockchains [46][47][48][49][50][51][52][53]. In these studies, the participants are modeled as agents, interactions as coordination abstractions, the blockchain is modeled as a shared knowledge and deciding on a common block is modeled by using goal, strategy or game abstractions.…”

Section: Agent-oriented Paradigmmentioning

confidence: 99%

“…As another example, Ref. [48] focuses on meta-agents, that is, agents acting on several blockchain hyper parameters to balance a security/throughput trade-off as a way to optimize the blockchain performance while preserving the security and dependability of the system through RL.…”

Section: Agent-oriented Paradigmmentioning

confidence: 99%

AGR4BS: A Generic Multi-Agent Organizational Model for Blockchain Systems

Roussille

Gürcan

Michel

2021

BDCC

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Blockchain is a very attractive technology since it maintains a public, append-only, immutable and ordered log of transactions which guarantees an auditable ledger accessible by anyone. Blockchain systems are inherently interdisciplinary since they combine various fields such as cryptography, multi-agent systems, distributed systems, social systems, economy, and finance. Furthermore, they have a very active and dynamic ecosystem where new blockchain platforms and algorithms are developed continuously due to the interest of the public and the industries to the technology. Consequently, we anticipate a challenging and interdisciplinary research agenda in blockchain systems, built upon a methodology that strives to capture the rich process resulting from the interplay between the behavior of agents and the dynamic interactions among them. To be effective, however, modeling studies providing insights into blockchain systems, and appropriate description of agents paired with a generic understanding of their components are needed. Such studies will create a more unified field of blockchain systems that advances our understanding and leads to further insight. According to this perspective, in this study, we propose using a generic multi-agent organizational modeling for studying blockchain systems, namely AGR4BS. Concretely, we use the Agent/Group/Role (AGR) organizational modeling approach to identify and represent the generic entities which are common to blockchain systems. We show through four real case studies how this generic model can be used to model different blockchain systems. We also show briefly how it can be used for modeling three well-known attacks on blockchain systems.

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SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System

Cited by 31 publications

References 13 publications

An overview of blockchain efficient interaction technologies

An overview of blockchain efficient interaction technologies

Towards a Scalable and Trustworthy Blockchain: IoT Use Case

AGR4BS: A Generic Multi-Agent Organizational Model for Blockchain Systems

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