TY - GEN
T1 - Analyzing Geospatial Distribution in Blockchains
AU - Motepalli, Shashank
AU - Jacobsen, Hans Arno
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Blockchains are decentralized; are they genuinely? We analyze blockchain decentralization's often-overlooked but quantifiable dimension: geospatial distribution of transaction processing. Blockchains bring with them the potential for geospatially distributed transaction processing. They enable validators from geospatially distant locations to partake in consensus protocols; we refer to them as minority validators. Based on our observations, in practice, most validators are often geographically concentrated in close proximity. Furthermore, we observed that minority validators tend not to meet the performance requirements, often misidentified as crash failures. Consequently, they are subject to punishment by jailing (removal from the validator set) and/or slashing (penalty in native tokens). Our emulations, under controlled conditions, demonstrate the same results, raising serious concerns about the potential for the geospatial centralization of validators. To address this, we developed a solution that easily integrates with consensus protocols, and we demonstrated its effectiveness.
AB - Blockchains are decentralized; are they genuinely? We analyze blockchain decentralization's often-overlooked but quantifiable dimension: geospatial distribution of transaction processing. Blockchains bring with them the potential for geospatially distributed transaction processing. They enable validators from geospatially distant locations to partake in consensus protocols; we refer to them as minority validators. Based on our observations, in practice, most validators are often geographically concentrated in close proximity. Furthermore, we observed that minority validators tend not to meet the performance requirements, often misidentified as crash failures. Consequently, they are subject to punishment by jailing (removal from the validator set) and/or slashing (penalty in native tokens). Our emulations, under controlled conditions, demonstrate the same results, raising serious concerns about the potential for the geospatial centralization of validators. To address this, we developed a solution that easily integrates with consensus protocols, and we demonstrated its effectiveness.
KW - blockchain
KW - consensus protocols
KW - decentralization
KW - geospatial distribution
UR - http://www.scopus.com/inward/record.url?scp=85172906029&partnerID=8YFLogxK
U2 - 10.1109/DAPPS57946.2023.00022
DO - 10.1109/DAPPS57946.2023.00022
M3 - Conference contribution
AN - SCOPUS:85172906029
T3 - Proceedings - 2023 IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2023
SP - 100
EP - 108
BT - Proceedings - 2023 IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Decentralized Applications and Infrastructures, DAPPS 2023
Y2 - 17 July 2023 through 20 July 2023
ER -