Cost-Effective Data Feeds to Blockchains via Workload-Adaptive Data Replication
Kai Li, Yuzhe Tang, Jiaqi Chen, Zhehu Yuan, Cheng Long Xu, Jianliang Xu · 2020
Feeding external data to a blockchain, a.k.a. data feed, is an essential task to enable blockchain interoperability and support emerging cross-domain applications. Given the data-intensive nature of real-life feeds (e.g., high-frequency price updates) and the high cost of using blockchain, namely Gas, it is imperative to reduce the Gas cost of data feeds. Motivated by the constant-changing workloads in financial applications, this work aims at designing a dynamic, workload-aware approach for Gas cost optimization. This design space is understudied in existing blockchain research which has so far focused on static data placement.