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Cloud Infrastructure Design Model for Green Smart City: Case Study of Electricity Generating Authority of Thailand

机译:绿色智慧城市的云基础设施设计模型:以泰国发电局为例

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"EGAT Eco Plus" is a smart city initiative of Electricity Generating Authority of Thailand (EGAT). To design the cloud infrastructure to support applications in the smart city, we need a modular design model which can dynamically adjust requirements and system parameters. This paper proposes the concept of smart city cloud controller which aims to provide so-called green service resource allocation by maximizing green i.e. renewable energy usage for data centers. Based on our formulated linear programming, our proposed SCCC model can provide green service resource allocation for data centers by maximizing the green energy usage. We evaluate the SCCC formulation with the green energy usage per each data center and overall of green energy usage in optimizing green metrics. Afterward, we compare our model with a well-known algorithm for solving the resource allocation problem i.e. round-robin. The model can be applied in the smart city whose data centers have different accessibility to on-site renewable energy sources. Besides, the proposed model can adjust parameters which are design criteria for green computing; the size of tasks, different power sources; and can be used as design guidelines for green computing in smart cities with more than one power source; grid, on-site renewable energy, battery energy storage.
机译:“EGAT ECO Plus”是泰国(EGAT)发电权威的智能城市倡议。要设计云基础架构来支持智能城市的应用,我们需要一个模块化设计模型,可以动态调整要求和系统参数。本文提出了智能城市云控制器的概念,旨在通过最大化绿色即可提供所谓的绿色服务资源分配。数据中心可再生能源使用。基于我们配制的线性规划,我们所提出的SCCC模型可以通过最大化绿色能源使用来为数据中心提供绿色服务资源分配。我们在优化绿色指标时,通过每个数据中心和绿色能源使用的整体评估SCCC配方。之后,我们将模型与众所周知的算法进行比较,用于解决资源分配问题i.e.S循环罗宾。该模型可应用于智能城市,其数据中心对现场可再生能源具有不同的可访问性。此外,所提出的模型可以调整为绿色计算的设计标准的参数;任务大小,不同的电源;并且可以用作具有多个电源的智能城市绿色计算的设计指南;网格,现场可再生能源,电池储能。

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