Sharding for Blockchain based Mobile Edge Computing System: A Deep Reinforcement Learning Approach

Yuan, Shijing; Li, Jie; Liang, Jianwei; Zhu, Yuxuan; Yu, Xiang; Chen, Jianping; Wu, Chongqing

doi:10.1109/globecom46510.2021.9685883

Cited by 12 publications

(8 citation statements)

References 19 publications

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“…A clustering-based sharded blockchain strategy for collaborative computing in IoT networks was similarly presented in [37], while the work in [36] analyzed the security issues in sharding blockchain-based fog computing networks. Sharding technique was also adopted in [38], [39]. Under the sharding method, the blockchain validators were clustered into a different group of shards such that each shard independently creates and validates blocks through intra-shard consensus processes.…”

Section: Parallel Validation Methodsmentioning

confidence: 99%

“…Under the sharding method, the blockchain validators were clustered into a different group of shards such that each shard independently creates and validates blocks through intra-shard consensus processes. In [8], [36]- [38], each validated block from each shard was merged and validated again by a final consensus process (following a double-layer consensus mechanism) before the new block was appended to the chain.…”

Section: Parallel Validation Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A Reputation-enhanced Shard-based Byzantine Fault-tolerant Scheme for Secure Data Sharing in Zero Trust Human Digital Twin Systems

Okegbile¹,

Cai²,

Chen³

et al. 2023

Preprint

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Section: Parallel Validation Methodsmentioning

confidence: 99%

Section: Parallel Validation Methodsmentioning

confidence: 99%

A Reputation-enhanced Shard-based Byzantine Fault-tolerant Scheme for Secure Data Sharing in Zero Trust Human Digital Twin Systems

Okegbile¹,

Cai²,

Chen³

et al. 2023

Preprint

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show abstract

“…Moreover, they design a resource-efficient consensus mechanism that saves the computational cost of the consensus process and improves the spectrum efficiency in B5G/6G networks. To handle the sub-optimum performance issues caused by blockchain sharding, some intelligence-based blockchain sharding schemes are proposed in [271], [272]. Specifically, the authors in [271] use a DRL-based algorithm to determine the number of partitions, the size of microblocks, and the interval for generating large blocks.…”

Section: Blockchain Scalability and Interoperabilitymentioning

confidence: 99%

“…To handle the sub-optimum performance issues caused by blockchain sharding, some intelligence-based blockchain sharding schemes are proposed in [271], [272]. Specifically, the authors in [271] use a DRL-based algorithm to determine the number of partitions, the size of microblocks, and the interval for generating large blocks. The authors in [272] use reputation-based DRL to form shards in a selforganized manner.…”

Section: Blockchain Scalability and Interoperabilitymentioning

confidence: 99%

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A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Xu¹,

Ng²,

Lim³

et al. 2022

Preprint

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Dubbed "the successor to the mobile Internet", the concept of the Metaverse has grown in popularity. While there exist lite versions of the Metaverse today, they are still far from realizing the full vision of an immersive, embodied, and interoperable Metaverse. Without addressing the issues of implementation from the communication and networking, as well as computation perspectives, the Metaverse is difficult to succeed the Internet, especially in terms of its accessibility to billions of users today. In this survey, we focus on the edge-enabled Metaverse to realize its ultimate vision. We first provide readers with a succinct tutorial of the Metaverse, an introduction to the architecture, as well as current developments. To enable the ubiquitous, seamless, and embodied access to the Metaverse, we discuss the communication and networking challenges and survey cutting-edge solutions and concepts that leverage next-generation communication systems for users to be telepresent and teleoperate in the Metaverse. Moreover, given the high computation costs required, e.g., to render immersive 3D worlds and run data hungry artificial intelligence (AI) driven applications, we discuss the computation challenges and cloud-edge-end computation framework driven solutions to realize the Metaverse on resource-constrained edge devices. Next, we explore how blockchain technologies can aid in the interoperable development of the Metaverse, not just in terms of empowering the economic circulation of virtual usergenerated contents, but also to manage physical edge resources in a decentralized, transparent, and tamper-proof manner. Finally, we discuss the future research directions towards realizing the true vision of the edge-enabled Metaverse.

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Blockchain-Enabled Data Sharing Solution for HDT

Okegbile,

Cai,

2024

SpringerBriefs in Computer Science

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Sharding for Blockchain based Mobile Edge Computing System: A Deep Reinforcement Learning Approach

Cited by 12 publications

References 19 publications

A Reputation-enhanced Shard-based Byzantine Fault-tolerant Scheme for Secure Data Sharing in Zero Trust Human Digital Twin Systems

A Reputation-enhanced Shard-based Byzantine Fault-tolerant Scheme for Secure Data Sharing in Zero Trust Human Digital Twin Systems

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Blockchain-Enabled Data Sharing Solution for HDT

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