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书目名称Green Computing in Smart Cities: Simulation and Techniques影响因子(影响力)




书目名称Green Computing in Smart Cities: Simulation and Techniques影响因子(影响力)学科排名




书目名称Green Computing in Smart Cities: Simulation and Techniques网络公开度




书目名称Green Computing in Smart Cities: Simulation and Techniques网络公开度学科排名




书目名称Green Computing in Smart Cities: Simulation and Techniques被引频次




书目名称Green Computing in Smart Cities: Simulation and Techniques被引频次学科排名




书目名称Green Computing in Smart Cities: Simulation and Techniques年度引用




书目名称Green Computing in Smart Cities: Simulation and Techniques年度引用学科排名




书目名称Green Computing in Smart Cities: Simulation and Techniques读者反馈




书目名称Green Computing in Smart Cities: Simulation and Techniques读者反馈学科排名

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The Lebedev Physics Institute Seriesering and the idea of virtual machine portion and relocation for decreasing the carbon outflow and vitality utilization in the united cloud framework. Reproduction results demonstrate that our proposed methodology diminishes the carbon dioxide outflow and vitality utilization of combined cloud datac

Coronary-Spasm

引水渠

https://doi.org/10.1007/978-3-642-73679-7tremendous technological growth and it is widely used in many applications like Border Monitoring System (BMS), Forest Monitoring System (FMS), Ocean Monitoring System (OMS), Critical Response System (CRS), etc. Generally, in all the surveillance systems the sensor nodes capture the data and send th

伪造

Charged Current Inclusive Interactionsd the green house gas emissions. The migration from the conventional learning approach to the Mobile Green-Cloud Computing Learning system therefore allows, among other things, efficient use of resources, reduction of physical books and hardware components (i.e. reduction in energy consumption).

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Balamurugan Balusamy,Naveen Chilamkurti,Seifedine

TIGER

The Modern Way for Virtual Machine Placement and Scalable Technique for Reduction of Carbon in Greeering and the idea of virtual machine portion and relocation for decreasing the carbon outflow and vitality utilization in the united cloud framework. Reproduction results demonstrate that our proposed methodology diminishes the carbon dioxide outflow and vitality utilization of combined cloud datac

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