Avoiding the 1 TB Storage Wall: Leveraging Ethereum's DHT to Reduce Peer Storage Needs
| Autor: | Eisenbarth, Jean-Philippe, Cholez, Thibault, Perrin, Olivier |
|---|---|
| Přispěvatelé: | Interdisciplinary Centre for Security, Reliability and Trust [Luxembourg] (SnT), Université du Luxembourg (Uni.lu), Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems (RESIST), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Networks, Systems and Services (LORIA - NSS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Web Scale Trustworthy Collaborative Service Systems (COAST), ACM ASIACCS Workshop, European Project: 830927,CONCORDIA(2019) |
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | The 5th ACM International Symposium on Blockchain and Secure Critical Infrastructure (BSCI 2023) The 5th ACM International Symposium on Blockchain and Secure Critical Infrastructure (BSCI 2023), ACM ASIACCS Workshop, Jul 2023, Melbourne, Australia. pp.10 |
| Popis: | International audience; Blockchains face many challenges in time, among which the ever-growing storage needs for blockchains' data. In particular, Ethereum is quickly approaching the 1 TB storage limit for a node, what may significantly reduce the candidates able to run an Ethereum fullnode. In this paper, we propose a new synchronization and storage strategy for Ethereum that takes full advantage of the Distributed Hash Table implemented in all clients but left unused. By digging into the history of Ethereum's synchronization and storage strategies, we justify why such distribution of storage duties among peers makes much sense today. We implemented our solution in the official Ethereum client Geth and validated its smooth operation on a private Ethereum instance. Our solution can save around 60% of the storage of a node (360 GB) which represents a total of 12 PB of data at the network scale, while being fully backward compatible with current clients. |
| Databáze: | OpenAIRE |
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