TY - JOUR
T1 - Blockchain based combinatorial grouping auction with reserve price mechanism in cloud computing
AU - Periyasami, Karthikeyan
AU - Venugopal, Jeyakrishnan
AU - Thirumoorthy, Gopalakrishnan
AU - Ramasamy, Rajagopal
AU - Balakrishnan, Nagaraj
N1 - Publisher Copyright:
© 2021 Bentham Science Publishers.
PY - 2021
Y1 - 2021
N2 - Background: The block-chain is a growing decentralized scheme applied in many appli-cations, such as an auction, smart contract, Health, and banking sector. The cloud service providers can sell the resource to cloud consumers using an auction. The main challenge in resource allocation using auction is to provide reliability to the users. Methods: In this paper, a blockchain-based combinatorial grouping auction with a reserve price mechanism (BCGAWRP) was proposed. The proposed scheme maximizes the total revenue and resource utilization by assuring reliability. The proposed BCGAWRP performance was assessed by simulating the cloud environment. Results: The experimental result shows that the proposed BCGAWRP algorithm increases revenue more than the traditional combinatorial auction algorithm. Conclusion: Moreover, simulation studies show that reserve price is useful and provides a mechanism to achieve the trade-off between the seller's and the buyer’s virtual machines.
AB - Background: The block-chain is a growing decentralized scheme applied in many appli-cations, such as an auction, smart contract, Health, and banking sector. The cloud service providers can sell the resource to cloud consumers using an auction. The main challenge in resource allocation using auction is to provide reliability to the users. Methods: In this paper, a blockchain-based combinatorial grouping auction with a reserve price mechanism (BCGAWRP) was proposed. The proposed scheme maximizes the total revenue and resource utilization by assuring reliability. The proposed BCGAWRP performance was assessed by simulating the cloud environment. Results: The experimental result shows that the proposed BCGAWRP algorithm increases revenue more than the traditional combinatorial auction algorithm. Conclusion: Moreover, simulation studies show that reserve price is useful and provides a mechanism to achieve the trade-off between the seller's and the buyer’s virtual machines.
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U2 - 10.2174/2213275912666190801115417
DO - 10.2174/2213275912666190801115417
M3 - Article
AN - SCOPUS:85114681074
SN - 2666-2558
VL - 14
SP - 1497
EP - 1505
JO - Recent Advances in Computer Science and Communications
JF - Recent Advances in Computer Science and Communications
IS - 5
ER -