Predictive Placement of Geo-Distributed Blockchain Nodes for Performance Guarantee

  • Junseok Lee
  • , Yeonho Yoo
  • , Chuck Yoo
  • , Gyeongsik Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Blockchain-as-a-service (BaaS) in cloud datacenters is gaining widespread attention due to its high performance and privacy. However, existing BaaS solutions lack a method for deciding the proper placement of blockchain nodes across virtual machines in worldwide datacenters to achieve desired performance. Our motivating experiments show that transaction processing performance (TPS) varies 31.6% depending on the placements. To provide an automatic placement solution for BaaS, we propose Cyan that predicts the TPS for blockchain node placements. Our evaluations on Google Cloud Platform demonstrate that Cyan improves the TPS guarantee 2.39x compared to existing techniques.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 17th International Conference on Cloud Computing, CLOUD 2024
EditorsRong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi Atukorala, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Tevfik Kosar, Santonu Sarkar, Sreekrishnan Venkateswaran, Shangguang Wang, Xuanzhe Liu, Seetharami Seelam, Chandra Narayanaswami, Ziliang Zong
PublisherIEEE Computer Society
Pages66-68
Number of pages3
ISBN (Electronic)9798350368536
DOIs
StatePublished - 2024
Event17th IEEE International Conference on Cloud Computing, CLOUD 2024 - Shenzhen, China
Duration: 7 Jul 202413 Jul 2024

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190

Conference

Conference17th IEEE International Conference on Cloud Computing, CLOUD 2024
Country/TerritoryChina
CityShenzhen
Period7/07/2413/07/24

Keywords

  • Blockchain-as-a-service
  • Hyperledger Fabric
  • Node Placement
  • Performance Guarantee

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