Workload Prediction in BTC Blockchain and Application to the Confirmation Time Estimation

块链 工作量 计算机科学 实时计算 嵌入式系统 操作系统 计算机安全
作者
Ivan Malakhov,Carlo Gaetan,Andrea Marin,Sabina Rossi
出处
期刊:Lecture Notes in Computer Science [Springer Science+Business Media]
卷期号:: 3-21 被引量:3
标识
DOI:10.1007/978-3-030-91825-5_1
摘要

Blockchains are distributed ledgers storing data and procedures in an immutable way. The validation of the information stored therein as well as the guarantee of its immutability can be achieved without the need of a central authority. Proof-of-work is the maximum expression of the distributed nature of such systems, and requires miners to spend a large amount of energy to secure the blockchain. The cost is mostly paid by the end-users that offer fees to support the validation of their transactions. In general, higher fees correspond to shorter validation delays. However, given the limited throughput of the system and variability of the workload, the fee one needs to offer to satisfy a certain requirement on the validation delay strongly depends on the intensity of the workload that, in turns, is subject to high variability.In this work, we propose a time series analysis of the workload of Bitcoin blockchain and compare the accuracy of Facebook Prophet model with a ARIMA model. We take into account the periodicity of the workload and show by simulations how these predictions, accompanied with their confidence intervals, can be used to estimate the confirmation delays of the transactions given the offered fees.

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