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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.09993 |
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| _version_ | 1866916126635589632 |
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| author | Cortes-Goicoechea, Mikel Kiraly, Csaba Ryajov, Dmitriy Muñoz-Tapia, Jose Luis Bautista-Gomez, Leonardo |
| author_facet | Cortes-Goicoechea, Mikel Kiraly, Csaba Ryajov, Dmitriy Muñoz-Tapia, Jose Luis Bautista-Gomez, Leonardo |
| contents | Scalability in blockchain remains a significant challenge, especially when prioritizing decentralization and security. The Ethereum community has proposed comprehensive data-sharding techniques to overcome storage, computational, and network processing limitations. In this context, the propagation and availability of large blocks become the subject of research to achieve scalable data-sharding. This paper provides insights after exploring the usage of a Kademlia-based DHT to enable Data Availability Sampling (DAS) in Ethereum. It presents a DAS-DHT simulator to study this problem and validates the results of the simulator with experiments in a real DHT network, IPFS. Our results help us understand what parts of DAS can be achieved based on existing Kademlia DHT solutions and which ones cannot. We discuss the limitations of DHT solutions and discuss other alternatives. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_09993 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Scalability limitations of Kademlia DHTs when enabling Data Availability Sampling in Ethereum Cortes-Goicoechea, Mikel Kiraly, Csaba Ryajov, Dmitriy Muñoz-Tapia, Jose Luis Bautista-Gomez, Leonardo Networking and Internet Architecture Distributed, Parallel, and Cluster Computing Scalability in blockchain remains a significant challenge, especially when prioritizing decentralization and security. The Ethereum community has proposed comprehensive data-sharding techniques to overcome storage, computational, and network processing limitations. In this context, the propagation and availability of large blocks become the subject of research to achieve scalable data-sharding. This paper provides insights after exploring the usage of a Kademlia-based DHT to enable Data Availability Sampling (DAS) in Ethereum. It presents a DAS-DHT simulator to study this problem and validates the results of the simulator with experiments in a real DHT network, IPFS. Our results help us understand what parts of DAS can be achieved based on existing Kademlia DHT solutions and which ones cannot. We discuss the limitations of DHT solutions and discuss other alternatives. |
| title | Scalability limitations of Kademlia DHTs when enabling Data Availability Sampling in Ethereum |
| topic | Networking and Internet Architecture Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2402.09993 |