The increase in computing capacity caused a rapid and sudden increase in the Operational Expenses (OPEX) of data centers. OPEX reduction is a big concern and a key target in modern data centers. In this study, the sca...The increase in computing capacity caused a rapid and sudden increase in the Operational Expenses (OPEX) of data centers. OPEX reduction is a big concern and a key target in modern data centers. In this study, the scalability of the Dynamic Voltage and Frequency Scaling (DVFS) power management technique is studied under multiple different workloads. The environment of this study is a 3-Tier data center. We conducted multiple experiments to find the impact of using DVFS on energy reduction under two scheduling techniques, namely: Round Robin and Green. We observed that the amount of energy reduction varies according to data center load. When the data center load increases, the energy reduction decreases. Experiments using Green scheduler showed around 83% decrease in power consumption when DVFS is enabled and DC is lightly loaded. In case the DC is fully loaded, in which case the servers’ CPUs are constantly busy with no idle time, the effect of DVFS decreases and stabilizes to less than 10%. Experiments using Round Robin scheduler showed less energy saving by DVFS, specifically, around 25% in light DC load and less than 5% in heavy DC load. In order to find the effect of task weight on energy consumption, a set of experiments were conducted through applying thin and fat tasks. A thin task has much less instructions compared to fat tasks. We observed, through the simulation, that the difference in power reduction between both types of tasks when using DVFS is less than 1%.展开更多
In order to enhance modeling efficiency and accuracy,we utilized 3D laser point cloud data for indoor space modeling.Point cloud data was obtained with a 3D laser scanner and optimized with Autodesk Recap and Revit so...In order to enhance modeling efficiency and accuracy,we utilized 3D laser point cloud data for indoor space modeling.Point cloud data was obtained with a 3D laser scanner and optimized with Autodesk Recap and Revit software to extract geometric information about the indoor environment.Furthermore,we proposed a method for constructing indoor elements based on parametric components.The research outcomes of this paper will offer new methods and tools for indoor space modeling and design.The approach of indoor space modeling based on 3D laser point cloud data and parametric component construction can enhance modeling efficiency and accuracy,providing architects,interior designers,and decorators with a better working platform and design reference.展开更多
为实现桥梁二维设计方案向三维设计方案的快速转换,并适应方案的频繁修改及建模的多样性、复杂性,提出了基于数据驱动的桥梁快速建模方法。根据CAD数据,提取并计算线路和桥梁中线的三维空间信息、桥梁跨度坐标信息和桥跨里程;采用BIM(Bu...为实现桥梁二维设计方案向三维设计方案的快速转换,并适应方案的频繁修改及建模的多样性、复杂性,提出了基于数据驱动的桥梁快速建模方法。根据CAD数据,提取并计算线路和桥梁中线的三维空间信息、桥梁跨度坐标信息和桥跨里程;采用BIM(Building Information Modeling)二次开发技术,实现了基于设计方案和地形信息的全线多样性参数化建模;采用构件规则约束和空间包围盒集成方法,对模型几何参数、空间位置进行自动复核检查和调整,实现了桥梁构件模型的精确定位和无缝拼接。该研究为高速铁路桥梁自动化和智能化建模提供了一种新的解决方案,也为其他类型的桥梁建模提供了参考。展开更多
建筑信息建模(Building Information Modeling,BIM)技术,主要是通过数字信息仿真的方式来建立建筑模型,以此来还原其真实的信息,供相关部门参考。其具备信息完备性、关联性、一致性、可视化性、协调性、模拟性、优化性以及可出图性等特...建筑信息建模(Building Information Modeling,BIM)技术,主要是通过数字信息仿真的方式来建立建筑模型,以此来还原其真实的信息,供相关部门参考。其具备信息完备性、关联性、一致性、可视化性、协调性、模拟性、优化性以及可出图性等特点,被广泛地应用在复杂型建筑、水电工程施工总布置、古典建筑中。近几年,随着BIM技术的不断完善,其被广泛地应用在轻型装配式的建造中,并且取得了显著应用效果。基于此,对建筑信息建模技术在轻型装配式建造过程中的应用进行研究,以此来为建筑信息建模技术的应用以及相关部门提供参考。展开更多
On the basis of the digital Weifang geospatial framework,Smart Weifang spatio-temporal information cloud platform(WFCP)integrated legal person information,population,place name and address data,macroeconomic data and ...On the basis of the digital Weifang geospatial framework,Smart Weifang spatio-temporal information cloud platform(WFCP)integrated legal person information,population,place name and address data,macroeconomic data and so on.And it also expanded the data contents,such as the indoor and outdoor data,the overground and underground data,panoramic data and real data.It also introduced the contents of historical geographical information in different periods and real-time location information,address information of sensing equipment,real-time perception and interpreting information.It has overcome the difficulties of real-time access of Internet of Things(IoT)perception,multi-node collaboration,64-bit support,cluster deployment and has the characteristics of spatio-temporal management,ondemand service,large data analysis and micro-service architecture.It built spatio-temporal information big data center and spatio-temporal information cloud platform,realized the convergence and management of the distributed big data,deeply applied for land,transportation,environmental protection,police and subdistrict five areas,by supporting the integrated application of multi-source information and supporting intelligent deep application.In the aspect of hardware environment construction,according to the top-level design and unified arrangement of Smart Weifang,the WFCP was migrated to Weifang cloud computing center,to achieve the on-demand computing resources and dynamic scheduling load-based computing resources,to support the generalizing load map application.展开更多
文摘The increase in computing capacity caused a rapid and sudden increase in the Operational Expenses (OPEX) of data centers. OPEX reduction is a big concern and a key target in modern data centers. In this study, the scalability of the Dynamic Voltage and Frequency Scaling (DVFS) power management technique is studied under multiple different workloads. The environment of this study is a 3-Tier data center. We conducted multiple experiments to find the impact of using DVFS on energy reduction under two scheduling techniques, namely: Round Robin and Green. We observed that the amount of energy reduction varies according to data center load. When the data center load increases, the energy reduction decreases. Experiments using Green scheduler showed around 83% decrease in power consumption when DVFS is enabled and DC is lightly loaded. In case the DC is fully loaded, in which case the servers’ CPUs are constantly busy with no idle time, the effect of DVFS decreases and stabilizes to less than 10%. Experiments using Round Robin scheduler showed less energy saving by DVFS, specifically, around 25% in light DC load and less than 5% in heavy DC load. In order to find the effect of task weight on energy consumption, a set of experiments were conducted through applying thin and fat tasks. A thin task has much less instructions compared to fat tasks. We observed, through the simulation, that the difference in power reduction between both types of tasks when using DVFS is less than 1%.
基金supported by the Innovation and Entrepreneurship Training Program Topic for College Students of North China University of Technology in 2023.
文摘In order to enhance modeling efficiency and accuracy,we utilized 3D laser point cloud data for indoor space modeling.Point cloud data was obtained with a 3D laser scanner and optimized with Autodesk Recap and Revit software to extract geometric information about the indoor environment.Furthermore,we proposed a method for constructing indoor elements based on parametric components.The research outcomes of this paper will offer new methods and tools for indoor space modeling and design.The approach of indoor space modeling based on 3D laser point cloud data and parametric component construction can enhance modeling efficiency and accuracy,providing architects,interior designers,and decorators with a better working platform and design reference.
文摘为实现桥梁二维设计方案向三维设计方案的快速转换,并适应方案的频繁修改及建模的多样性、复杂性,提出了基于数据驱动的桥梁快速建模方法。根据CAD数据,提取并计算线路和桥梁中线的三维空间信息、桥梁跨度坐标信息和桥跨里程;采用BIM(Building Information Modeling)二次开发技术,实现了基于设计方案和地形信息的全线多样性参数化建模;采用构件规则约束和空间包围盒集成方法,对模型几何参数、空间位置进行自动复核检查和调整,实现了桥梁构件模型的精确定位和无缝拼接。该研究为高速铁路桥梁自动化和智能化建模提供了一种新的解决方案,也为其他类型的桥梁建模提供了参考。
文摘建筑信息建模(Building Information Modeling,BIM)技术,主要是通过数字信息仿真的方式来建立建筑模型,以此来还原其真实的信息,供相关部门参考。其具备信息完备性、关联性、一致性、可视化性、协调性、模拟性、优化性以及可出图性等特点,被广泛地应用在复杂型建筑、水电工程施工总布置、古典建筑中。近几年,随着BIM技术的不断完善,其被广泛地应用在轻型装配式的建造中,并且取得了显著应用效果。基于此,对建筑信息建模技术在轻型装配式建造过程中的应用进行研究,以此来为建筑信息建模技术的应用以及相关部门提供参考。
文摘On the basis of the digital Weifang geospatial framework,Smart Weifang spatio-temporal information cloud platform(WFCP)integrated legal person information,population,place name and address data,macroeconomic data and so on.And it also expanded the data contents,such as the indoor and outdoor data,the overground and underground data,panoramic data and real data.It also introduced the contents of historical geographical information in different periods and real-time location information,address information of sensing equipment,real-time perception and interpreting information.It has overcome the difficulties of real-time access of Internet of Things(IoT)perception,multi-node collaboration,64-bit support,cluster deployment and has the characteristics of spatio-temporal management,ondemand service,large data analysis and micro-service architecture.It built spatio-temporal information big data center and spatio-temporal information cloud platform,realized the convergence and management of the distributed big data,deeply applied for land,transportation,environmental protection,police and subdistrict five areas,by supporting the integrated application of multi-source information and supporting intelligent deep application.In the aspect of hardware environment construction,according to the top-level design and unified arrangement of Smart Weifang,the WFCP was migrated to Weifang cloud computing center,to achieve the on-demand computing resources and dynamic scheduling load-based computing resources,to support the generalizing load map application.
