Cost-Effective Data Feeds to Blockchains via Workload-Adaptive Data Replication
Kai Li, Yuzhe Tang, Jiaqi Chen, Zhehu Yuan, Cheng Xu, Jianliang Xu
Abstract
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.
Topics & Concepts
WorkloadInteroperabilityComputer scienceReplication (statistics)BlockchainDistributed computingTask (project management)Domain (mathematical analysis)DatabaseOperating systemComputer securityEngineeringStatisticsSystems engineeringMathematicsMathematical analysisBlockchain Technology Applications and SecurityCloud Computing and Resource ManagementCaching and Content Delivery