Cloud-IoT Resource Management Based on Artificial Intelligence for Energy Reduction

نویسندگان

چکیده

The rapid growth in demand for cloud services has led to the creation of large-scale data centers, which allows application service providers lease center capacity deployment as per user requirement terms quality (QoS). These centers consume a lot electrical power contributes increased operating costs and carbon dioxide emissions. In addition, modern computing environments must provide QoS their customers leads them need make power-performance compromise that is say energy consumption service-level agreement (SLA) compliance. That why, we introduce, this paper, an intelligent resource management policy centers. goal dynamically allocate continuously consolidate virtual machines taking advantage live migration disengage inactive nodes minimize feeding environment while maintaining service. We integrate some artificial intelligence concepts ensure dynamic better significantly reduce consumed energy.

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ژورنال

عنوان ژورنال: Wireless Communications and Mobile Computing

سال: 2022

ISSN: ['1530-8669', '1530-8677']

DOI: https://doi.org/10.1155/2022/2248962