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- W4376458030 abstract "Currently, cloud computing and big data technology are developing rapidly worldwide, and data centers are springing up. However, with the construction of the data center in full swing, the problems of low utilization of server resources and high energy consumption are becoming increasingly prominent. In this regard, a minimum slack-time task scheduling method (MSTS) based on the single threshold virtual machine integration strategy is proposed in this paper, which can reduce energy consumption effectively while ensuring the task completion rate. The experimental verification of the MSTS method is carried out on the CloudSim simulation platform through a comparative study against the benchmark solutions, and the numerical results demonstrated the effectiveness of the proposed method in the promotion of energy efficiency compared with the existing solutions." @default.
- W4376458030 created "2023-05-14" @default.
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- W4376458030 date "2022-11-11" @default.
- W4376458030 modified "2023-09-27" @default.
- W4376458030 title "Energy-Aware Virtual Machine Integration based Task Scheduling for Green Data Centers" @default.
- W4376458030 doi "https://doi.org/10.1109/ei256261.2022.10116930" @default.
- W4376458030 hasPublicationYear "2022" @default.
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