Challenges and pitfalls of partitioning blockchains
April 19, 2018 Β· Declared Dead Β· π 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
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Authors
Enrique Fynn, Fernando Pedone
arXiv ID
1804.07356
Category
cs.DC: Distributed Computing
Citations
35
Venue
2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
Last Checked
6 months ago
Abstract
Blockchain has received much attention in recent years. This immense popularity has raised a number of concerns, scalability of blockchain systems being a common one. In this paper, we seek to understand how Ethereum, a well-established blockchain system, would respond to sharding. Sharding is a prevalent technique to increase the scalability of distributed systems. To understand how sharding would affect Ethereum, we model Ethereum blockchain as a graph and evaluate five methods to partition the graph. We analyze the results using three metrics: the balance among shards, the number of transactions that would involve multiple shards, and the amount of data that would be relocated across shards upon a repartitioning of the system.
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