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- W2904681337 abstract "In a cloud computing environment, cloud service providers offer cloud services to users. How to achieve reasonable and efficient service resource allocation to meet a user's demands is an important problem. Considering a multi-user and multi-provider environment, we propose a service resource allocation framework to optimize an objective function of load and completion time. We design an improved differential evolution algorithm for optimal resource allocation given a batch of multiple tasks. Experimental results show that proposed method can better balance loads among computing resources while achieving better optimized results for the entire system than some existing methods." @default.
- W2904681337 created "2018-12-22" @default.
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- W2904681337 date "2018-08-01" @default.
- W2904681337 modified "2023-09-27" @default.
- W2904681337 title "Multi-user Multi-provider Resource Allocation in Cloud Computing" @default.
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- W2904681337 doi "https://doi.org/10.1109/coase.2018.8560365" @default.
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