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- W2891837711 abstract "Cloud computing is a model for enabling convenient, on-demand access to a shared pool of configurable computing resources. The main advantage of cloud computing is minimizing the cost, but on the other hand energy consumption in cloud data centers is exponentially increasing. Thus, there is a need to improve the energy efficiency of cloud data centers. In this paper, the optimization of the virtual machines placement is considered with the objective of improving the energy efficiency. An Ant Colony Algorithm is proposed with multiple objectives. In addition to minimizing the energy consumption by reducing the number of active physical machines, the generated network traffic is minimized and the utilization of the resources is maximized. CloudSim tool is then used to simulate the results of the proposed algorithm." @default.
- W2891837711 created "2018-09-27" @default.
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- W2891837711 date "2018-06-23" @default.
- W2891837711 modified "2023-09-27" @default.
- W2891837711 title "Energy-Aware Multi-Objective Placement of Virtual Machines in Cloud Data Centers" @default.
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- W2891837711 doi "https://doi.org/10.1145/3239264.3239275" @default.
- W2891837711 hasPublicationYear "2018" @default.
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