Haozhao Zhang, Zhe Zhang, Zhiqiang Zheng, Varghese Jacob
{"title":"Generative Blockchain: Transforming Blockchain from Transaction Recording to Transaction Generation through Proof-of-Merit","authors":"Haozhao Zhang, Zhe Zhang, Zhiqiang Zheng, Varghese Jacob","doi":"arxiv-2408.13367","DOIUrl":null,"url":null,"abstract":"This paper proposes a new paradigm: generative blockchain, which aims to\ntransform conventional blockchain technology by combining transaction\ngeneration and recording, rather than focusing solely on transaction recording.\nCentral to our design is a novel consensus mechanism, Proof-of-Merit (PoM),\nspecifically crafted for environments where businesses must solve complex\nproblems before transactions can be recorded. PoM integrates the generation and\nrecording of transactions within a unified blockchain system, fundamentally\ndiffering from prevailing consensus mechanisms that primarily record existing\ntransactions. We demonstrate PoM on a ride service on-demand platform, where\nthe task of solving complex transaction-generating problems is delegated to a\npool of independent problem solvers. These solvers generate transactions, and\ntheir solutions are selected based on merit. The winning solvers then register\nthese transactions onto the blockchain and are rewarded accordingly. We\nintroduce a Decentralized Control Parameter (DCP) to balance two key\nperformance metrics: efficiency and equity. The applicability of our generative\nblockchain is illustrated through a ridesharing context, where matchers\n(solvers) are tasked with matching riders to drivers. We demonstrate PoM's\nperformance and nuanced properties using agent-based simulation, exploring how\nto find the optimal DCP value to achieve a desirable balance of efficiency and\nequity in a generative blockchain.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"71 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.13367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a new paradigm: generative blockchain, which aims to
transform conventional blockchain technology by combining transaction
generation and recording, rather than focusing solely on transaction recording.
Central to our design is a novel consensus mechanism, Proof-of-Merit (PoM),
specifically crafted for environments where businesses must solve complex
problems before transactions can be recorded. PoM integrates the generation and
recording of transactions within a unified blockchain system, fundamentally
differing from prevailing consensus mechanisms that primarily record existing
transactions. We demonstrate PoM on a ride service on-demand platform, where
the task of solving complex transaction-generating problems is delegated to a
pool of independent problem solvers. These solvers generate transactions, and
their solutions are selected based on merit. The winning solvers then register
these transactions onto the blockchain and are rewarded accordingly. We
introduce a Decentralized Control Parameter (DCP) to balance two key
performance metrics: efficiency and equity. The applicability of our generative
blockchain is illustrated through a ridesharing context, where matchers
(solvers) are tasked with matching riders to drivers. We demonstrate PoM's
performance and nuanced properties using agent-based simulation, exploring how
to find the optimal DCP value to achieve a desirable balance of efficiency and
equity in a generative blockchain.