JOURNAL ARTICLE

A Resource Auction Based Allocation Mechanism in the Cloud Computing Environment

Abstract

In this paper, certain microeconomic methods are introduced to solve the problem of management and allocation of resources in the cloud environment. By adding the idea of batch matching into the reverse auction, a reverse batch matching auction mechanism is proposed. Based on the auction, the strategy of twice-punishment and the pursuit of service quality can effectively prevent the occurrence of trading fraud. Three evaluation criteria, including the market efficiency, user satisfaction and service quality, are used as the optimization objectives, and the immune evolutionary algorithm is applied to find the optimal resource allocation solution. The simulation results have shown that the proposed mechanism is both feasible and effective.

Keywords:
Computer science Resource allocation Cloud computing Matching (statistics) Reverse auction Double auction Resource management (computing) Quality of service Market mechanism Auction algorithm Mathematical optimization Mechanism (biology) Auction theory Operations research Distributed computing Revenue equivalence Microeconomics Computer network Common value auction Economics

Metrics

32
Cited By
9.89
FWCI (Field Weighted Citation Impact)
13
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Auction Theory and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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