An Adaptive Multichain Blockchain: A Multiobjective Optimization Approach
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arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866914351831580672 |
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| author | Talmon, Nimrod Zysberg, Haim |
| author_facet | Talmon, Nimrod Zysberg, Haim |
| contents | Blockchains are widely used for secure transaction processing, but their scalability remains limited, and existing multichain designs are typically static even as demand and capacity shift. We cast blockchain configuration as a multiagent resource-allocation problem: applications and operators declare demand, capacity, and price bounds; an optimizer groups them into ephemeral chains each epoch and sets a chain-level clearing price. The objective maximizes a governance-weighted combination of normalized utilities for applications, operators, and the system. The model is modular -- accommodating capability compatibility, application-type diversity, and epoch-to-epoch stability -- and can be solved off-chain with outcomes verifiable on-chain. We analyze fairness and incentive issues and present simulations that highlight trade-offs among throughput, decentralization, operator yield, and service stability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_22230 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | An Adaptive Multichain Blockchain: A Multiobjective Optimization Approach Talmon, Nimrod Zysberg, Haim Cryptography and Security Computer Science and Game Theory Machine Learning Multiagent Systems Blockchains are widely used for secure transaction processing, but their scalability remains limited, and existing multichain designs are typically static even as demand and capacity shift. We cast blockchain configuration as a multiagent resource-allocation problem: applications and operators declare demand, capacity, and price bounds; an optimizer groups them into ephemeral chains each epoch and sets a chain-level clearing price. The objective maximizes a governance-weighted combination of normalized utilities for applications, operators, and the system. The model is modular -- accommodating capability compatibility, application-type diversity, and epoch-to-epoch stability -- and can be solved off-chain with outcomes verifiable on-chain. We analyze fairness and incentive issues and present simulations that highlight trade-offs among throughput, decentralization, operator yield, and service stability. |
| title | An Adaptive Multichain Blockchain: A Multiobjective Optimization Approach |
| topic | Cryptography and Security Computer Science and Game Theory Machine Learning Multiagent Systems |
| url | https://arxiv.org/abs/2602.22230 |