This paper deals with a 3D visualization technique proposed to analyze and manage energy efficiency from a data center. Data are extracted from sensors located in the IBM Green Data Center in Montpellier France. These sensors measure different information such as hygrometry, pressure and temperature. We want to visualize in real-time the large among of data produced by these sensors. A visualization engine has been designed, based on particles system and a client server paradigm. In order to solve performance problems, a Level Of Detail solution has been developed. These methods are based on the earlier work introduced by J. Clark in 1976. In this paper we introduce a particle method used for this work and subsequently we explain different simplification methods we have applied to improve our solution.

翻译：本文提出一种用于分析和优化数据中心能效的三维可视化技术。数据采集自位于法国蒙彼利埃的IBM绿色数据中心部署的传感器网络，这些传感器持续监测湿度、压力与温度等多类参数。为实时呈现传感器产生的大规模数据流，我们设计了一套基于粒子系统与客户端-服务器架构的可视化引擎。针对性能瓶颈问题，开发了多层次细节优化方案，其核心算法继承自J. Clark于1976年提出的经典理论框架。本文首先阐述本系统采用的粒子建模方法，继而详细说明为提升系统性能所实施的多维度简化策略。