Proceedings ArticleDOI
A resource allocation method based on the limited English combinatorial auction under cloud computing environment
Xingwei Wang,Xueyi Wang,Min Huang +2 more
- pp 905-909
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TLDR
An improved periodical auction model is constructed, and ribbon capacity is adopted to describe the special storage capacity for special users and the resource trading price between resource buyers and resource providers is determined based on the limited English combinatorial auction model.Abstract:
On account of the resource characteristics under cloud computing environment and the flexibility and availability of applying economic mechanism to resource allocation, a resource allocation model based on the limited English combinatorial auction under cloud computing environment is advanced. An improved periodical auction model is constructed, and then ribbon capacity is adopted to describe the special storage capacity for special users. Based on the above, the resource trading price between resource buyers and resource providers is determined based on the limited English combinatorial auction model. In the end, the optimal resource allocation solution is pursued based on genetic algorithm. Simulation results have shown that the proposed model is both feasible and effective, which can maximize the seller total trading amounts as well as reduce the executing time of winner determination.read more
Citations
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A combinatorial double auction resource allocation model in cloud computing
TL;DR: The results proved that the combinatorial double auction-based resource allocation model is an appropriate market-based model for cloud computing because it allows double-sided competition and bidding on an unrestricted number of items, which causes it to be economically efficient.
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Service allocation in the cloud environments using multi-objective particle swarm optimization algorithm based on crowding distance
TL;DR: This paper uses a Multi-Objective Particle Swarm Optimization based on Crowding Distance (MOPSO-CD) to solve the problem of service allocation in the cloud computing, and uses fuzzy set theory to specify the best compromise solution.
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A fair multi-attribute combinatorial double auction model for resource allocation in cloud computing
TL;DR: This work proposes a multi-attribute combinatorial double auction for the allocation of Cloud resources, which not only considers the price but other quality of service parameters also, which reflects the usefulness of the method.
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Auction‐based resource allocation mechanisms in the cloud environments: A review of the literature and reflection on future challenges
TL;DR: This paper provides a comprehensive survey and review of the auction‐based resource allocation mechanisms, which have been employed in the cloud environments up to now, and classified them into four categories: one‐ sided, double‐sided, combinatorial, and other types of auction‐ based mechanisms.
Journal ArticleDOI
Auction based resource allocation in cloud computing
TL;DR: An overview is presented upon the state-of-the-art of auction based resource allocation in cloud computing and the main issues are discussed in the design of auctionbased resource allocation mechanisms.
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