Auction-Based Resource Allocation Using a Layer-2 Blockchain

This paper proposes a decentralized solution based on a layer-2 blockchain for the allocation of virtualized resources. Our solution encompasses an auction strategy to decide which InP should be responsible for fulfilling a user’s service request. The results of the performance evaluation show that the auction strategy benefits both the user, who can pay a lower price, and the provider that made the lowest bid, who can have more chances to offer a service, in comparison to a market search strategy. In addition, the use of layer-2 achieves promising results in terms of the scalability of the solution when dealing with auctions with up to 400 participants.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/bcca62388.2024.10844476
Citations
2
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
1.56

Funders

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article

Auction-Based Resource Allocation Using a Layer-2 Blockchain

Paulo F. Pires, Thiago Pereira da Silva, Thaı́s Batista, Evandro L. C. Macedo et al.
2 citations
Blockchain Technology Applications and Security
1.56
article

Auction-Based Resource Allocation Using a Layer-2 Blockchain

Paulo F. Pires, Thiago Pereira da Silva, Thaı́s Batista, Evandro L. C. Macedo, Antônio A. de A. Rocha, Rui M. Lima, Flávia C. Delicato
article en
2 citations

Abstract

This paper proposes a decentralized solution based on a layer-2 blockchain for the allocation of virtualized resources. Our solution encompasses an auction strategy to decide which InP should be responsible for fulfilling a user’s service request. The results of the performance evaluation show that the auction strategy benefits both the user, who can pay a lower price, and the provider that made the lowest bid, who can have more chances to offer a service, in comparison to a market search strategy. In addition, the use of layer-2 achieves promising results in terms of the scalability of the solution when dealing with auctions with up to 400 participants.

Universidade Federal do Rio de Janeiro (BR), Universidade Federal Fluminense (BR), Universidade Federal do Rio Grande do Norte (BR)
EMC
Openalex Percentile: Top 11%
Blockchain Technology Applications and Security
1.56
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