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1.
随着信息产业爆炸式的发展;绿色存储已经成为人们普遍关注的焦点。本文主要介绍一种基于负载的能耗预测及能耗监控和温度监控系统ECTest的设计和实现。ECTest是一种基于C/S模式的能耗实时监控软件;通过对计算机系统集群各种负载的实时监控和获取;并结合已有的能耗基准数据使用一定的计算规则对此系统集群的实时能耗进行动态的估算。ECTest克服了现在已有能耗的能耗实时测试方法中的一些不足;并降低了能耗估算成本。  相似文献   

2.
伴随移动互联网业务呈现的多样化发展,互联网企业规模在不断扩大,数据机房的设备数量也在急剧增加。基于机房配电室能耗监控管理系统的不足和发展现状,采用ZigBee技术和Web技术把机房能耗监控管理系统网络与外界网络进行连接来监控计算设备、网络设备、存储设备等数据机房用电设备的工作状态,以达到实时掌握机房用电量和用电状态的目的,为降低能耗和保障设备安全运行提供必要的数据基础。机房内部采用ZigBee技术无线组网,汇集的机房设备、电表数据通过中央控制器和Web服务器为远程用户提供Web页面形式的呈现,最终达到远程实时监控数据机房用电状态的目的。  相似文献   

3.
本文是根据无线视频监控网络在使用过程中,节点能量有限的实际情况,提出了结合红外预警的协同式无线视频监控系统方案。通过设计一种自适应的预警睡眠机制达到确保监控系统监控效率高、能耗低等目的,并详细介绍了原型系统的功能设计和相关实现技术。  相似文献   

4.
云计算是大量的虚拟化的计算机资源的服务节点,如何管理基于节能型和服务型的动态可扩展资源已成为一个重要的问题。针对这一目的,综合大量前期工作,提出了一种改进的遗传算法,并构造系统模型,通过使用CloudSim(云计算仿真软件)和CloudAnalyst(云分析软件)进行定性和定量的数据分析。同时也与传统的动态电压和频率缩放 (DVFS) 做了比较,通过数据验证证明出利用服务质量感知对虚拟机的节能管理在响应时间、能源消耗、虚拟机迁移数量及合并适应性方面都起到改进作用。表现为在相同功率条件下,新方法能降低用户请求的响应时间,进而提高了用户的服务质量;在相同的响应时间内,新方法又能有效的降低能量功耗。这些改进都能提高用户对服务质量的满意度,同时也为未来使用并行计算技术打下了基础。  相似文献   

5.
数据中心能耗高是云计算发展过程中一个亟待解决的关键问题。建立了一个集群能耗优化模型,并在此基础上提出了一种基于Ceph集群的数据副本放置策略。该策略在考虑集群可用性和容错性的同时,采用了顺序存储和随机存储相结合的存储方法,使得Ceph集群在满足用户SLA需求和保证集群性能的前提下,达到节能的目的。实验结果表明,与原始Ceph集群相比,该数据副本放置策略在保证集群服务质量的同时,使得数据中心耗电量降低了14.3%。  相似文献   

6.
针对公共建筑能耗日益严重的现状,以及传统能耗监控系统暴露出来的空间约束性强、实时性差、易受环境影响、成本高、移植性差等问题,已很难满足能耗监控系统发展的需求.提出了一种大型公共建筑能耗监控系统的设计方案,该系统包括能耗数据采集节点和能耗监控节点.能耗数据采集节点的主控STM32F407通过RS485模块向智能电表发送命...  相似文献   

7.
基于物联网技术设计了电信运营商机房的能耗监控管理系统。通过对子节点电信机房主设备及空调用电、机房温度等数据进行采集与分析,采用TCP/IP协议完成了远程数据服务器的采集,实现了对主设备及空调情况的远程监控;在此基础上,设计了能耗分析与管理系统,实现了用电设备不合理报警,并基于能效最大化空调控制算法实现了对远程机房空调用电的有效控制。系统实际运行表明,该系统运行稳定,能有效地降低运营商机房的能耗,机房平均月节能达到10%到20%,对于机房能耗管理有很大的意义。  相似文献   

8.
由于传统方法采集数据与实际相差大、不同时间段下产生的能耗与实际误差大,为此提出基于L-WSNs的智能照明设备能耗监控系统设计。该方法首先对节点能耗在L-WSNs无线传感器网络中的分布情况进行详细介绍,基于L-WSNs节点能耗的分布情况,对智能照明设备能耗监控系统的功能模块及运行程序进行设计,采用能耗数据采集模块进行照明设备用电量数据的采集,然后采用能耗计算模块实现实际能耗及当日预算能耗进行计算,以此提升能耗监控效果。实验结果表明,通过对该方法进行采集数据与实际数据的对比测试、不同时间段下的能耗与实际值对比测试,验证了该方法的准确性强、实用性高。  相似文献   

9.
熊永华  张因升  陈鑫  吴敏 《软件学报》2015,26(3):680-698
随着基于云计算的视频监控系统(以下简称云视频监控系统)的兴起,其无限扩展的终端设施、众多的物理服务器、频繁的网络传输等所带来的能耗问题不容忽视.分析了云视频监控系统的体系结构、能耗的产生及其优化机理,并将云视频监控系统的能耗研究分为监控节点、物理节点和存储节点这3个层次;然后,结合国内外应用于传感器网络和云计算数据中心的相关能耗优化理论与方法,分别对3个层面上的云视频监控系统的能耗优化方法进行综述,并进行了深入的分析和比较;最后,针对当前的研究空缺和问题,提出今后可能的研究方向和重点,并进行了总结.  相似文献   

10.
基于嵌入式动态能耗平衡的汽车节能调度算法   总被引:1,自引:0,他引:1  
研究汽车嵌入式发动机的节能控制问题,由于汽车在启动过程中,发动机燃烧不充分,会造成电动机的启动电流过大,并且包含高噪声,使得汽车的动态非必要能耗增加.传统的限流限压调节算法的频率固定,很难做到真正的动态调节,不能适应非线性的大规模变化.为提高节能效果,提出了一种嵌入式动态能耗平衡的汽车节能调度算法.根据动态平衡相关理论,获取汽车运行过程中发动机的动态能耗关系,并为汽车发动机节能调度提供准确的数据.仿真结果表明,建立多核嵌入式汽车发动机任务调度模型,克服了传统算法中频率固定的弊端,说明改进算法能够有效降低汽车调度过程中的能源消耗.  相似文献   

11.
近年来,随着移动智能设备的普及以及5G等无线通信技术的发展,边缘计算作为一种新兴的计算模式被提出,作为传统的云计算模式的扩展与补充.边缘计算的基本思想是将移动设备上产生的计算任务从卸载到云端转变为卸载到网络边缘端,从而满足实时在线游戏、增强现实等计算密集型应用对低延迟的要求.边缘计算中的计算任务卸载是一个关键的研究问题...  相似文献   

12.
This work proposes a reusable architecture that enables the self-configuration of a supporting infrastructure for Web server clusters using virtual machines. The goal of the architecture is to ensure service quality, evaluating how broadly it complies with the application's operating restrictions and proportionally acting on the configuration of physical servers (hosts) or virtual machines. In addition, through the rational use of resources, the proposal aims at saving energy. A prototype of the architecture was developed and a performance evaluation carried out with two different resource management approaches. This evaluation shows how fully functional and advantageous the proposal is in terms of using resources, avoiding waste, yet maintaining the application's quality of service within acceptable levels. The architecture also shows to be flexible enough to accept, with a reasonable amount of effort, different resource self-configuration policies.  相似文献   

13.
云计算资源调度研究综述   总被引:27,自引:5,他引:22  
资源调度是云计算的一个主要研究方向.首先对云计算资源调度的相关研究现状进行深入调查和分析;然后重点讨论以降低云计算数据中心能耗为目标的资源调度方法、以提高系统资源利用率为目标的资源管理方法、基于经济学的云资源管理模型,给出最小能耗的云计算资源调度模型和最小服务器数量的云计算资源调度模型,并深入分析和比较现有的云资源调度方法;最后指出云计算资源管理的未来重要研究方向:基于预测的资源调度、能耗与性能折衷的调度、面向不同应用负载的资源管理策略与机制、面向计算能力(CPU、内存)和网络带宽的综合资源分配、多目标优化的资源调度,以便为云计算研究提供有益的参考.  相似文献   

14.
    
Energy efficiency of cloud data centers received significant attention recently as data centers often consume significant resources in operation. Most of the existing energy-saving algorithms focus on resource consolidation for energy efficiency. This paper proposes a simulation-driven methodology with the accurate energy model to verify its performance, and introduces a new resource scheduling algorithm Best-Fit-Decreasing-Power (BFDP) to improve the energy efficiency without degrading the QoS of the system. Both the model and the resource algorithm have been extensively simulated and validated, and results showed that they are effective. In fact, the proposed model and algorithm outperforms the existing resource scheduling algorithms especially under light workloads.  相似文献   

15.
    
The increase in the consumption of resources in the past decade has caused an increase in the interest of the international academic community in the challenges to reduce such rapid consumption of resources. Every year, many researchers propose different methods by which resource consumption can be reduced. Material, equipment, and process refinement are vivid examples of such efforts. While these innovations can be very helpful, in several cases, however, they can be very costly and greatly time-consuming. In addition, decision-makers tend to tackle the problem of resource consumption, while maintaining the proper level of service. Thus, in this paper, we propose a new bi-objective mathematical model by which we can reduce the consumption of resources and energy, as well as decrease the tardiness penalty in a supply chain scheduling and vehicle routing problem. The model demonstrates that finding the proper production (assembly) sequence, assignment of orders to vehicles and vehicle routing, will enable us to reduce resource consumption. A new Non-dominated Sorting Genetic Algorithm based on shaking and local search strategies of Variable Neighborhood Search algorithm is also developed to solve the proposed problem. Several criteria are introduced and defined to assess the performance of the proposed algorithm. Results demonstrate the out-performance of the proposed algorithm compared with the classic non-dominated sorting genetic algorithm II. We also propose a method that allows decision makers to make an informed decision to choose a proper sequence of jobs and routes that create a trade-off between resource consumption and the tardiness penalty.  相似文献   

16.
VAV中央空调能耗建模与仿真研究   总被引:2,自引:0,他引:2  
中央空调是一个复杂的非线性、时滞系统。中央空调系统在运行过程中存在着巨大的节能潜力,对中央空调系统的节能优化研究应以中央空调的能耗模型为基础。根据VAV中央空调各设备的能耗数学模型,并综合考虑VAV中央空调各设备之间的耦合关系,利用matlab中的simulink工具箱建立了反映VAV中央空调运行过程中各变量与系统能耗之间关系的仿真模型进行仿真,并对仿真结果进行了分析验证。模型可以用于对中央空调节能的参数优化研究中,对中央空调的节能优化控制具有重要的意义。  相似文献   

17.
基于宝钢五冷轧区域能源数据采集点多、分布面广的特点设计了信息化能源监控及管理系统,实时监测各工序能源介质的消耗量,为优化工艺、改进操作法和降低能源成本提供依据。  相似文献   

18.
节能降耗是当前社会热点。针对当前能耗监控系统单用户应用、安装维护复杂的问题,综合应用计算机开发技术、嵌入式开发技术、电力载波通信技术、电能量计量技术等设计一套多租户能耗监控系统。系统实现了多企业多用电点能源消耗量的采集、存储、统计分析、信息发布、预警和远程控制功能。系统分为采集、集中器和服务器三层,描述了采集层和集中器层的硬件设计,并对集中器和服务器层的软件系统进行了设计。提出了一种集中器层"洪泛、分簇、分时段"的改进路由策略,实现了能耗信息的低成本传输。  相似文献   

19.
An efficient resource allocation is a fundamental requirement in high performance computing (HPC) systems. Many projects are dedicated to large-scale distributed computing systems that have designed and developed resource allocation mechanisms with a variety of architectures and services. In our study, through analysis, a comprehensive survey for describing resource allocation in various HPCs is reported. The aim of the work is to aggregate under a joint framework, the existing solutions for HPC to provide a thorough analysis and characteristics of the resource management and allocation strategies. Resource allocation mechanisms and strategies play a vital role towards the performance improvement of all the HPCs classifications. Therefore, a comprehensive discussion of widely used resource allocation strategies deployed in HPC environment is required, which is one of the motivations of this survey. Moreover, we have classified the HPC systems into three broad categories, namely: (a) cluster, (b) grid, and (c) cloud systems and define the characteristics of each class by extracting sets of common attributes. All of the aforementioned systems are cataloged into pure software and hybrid/hardware solutions. The system classification is used to identify approaches followed by the implementation of existing resource allocation strategies that are widely presented in the literature.  相似文献   

20.
In an LTE cell, Discontinuous Reception (DRX) allows the central base station to configure User Equipments for periodic wake/sleep cycles, so as to save energy. DRX operations depend on several parameters, which can be tuned to achieve optimal performance with different traffic profiles (i.e., CBR vs. bursty, periodic vs. sporadic, etc.). This work investigates how to configure these parameters and explores the trade-off between power saving, on one side, and per-user QoS, on the other. Unlike previous work, chiefly based on analytical models neglecting key aspects of LTE, our evaluation is carried out via simulation. We use a fully-fledged packet simulator, which includes models of all the protocol stack, the applications and the relevant QoS metrics, and employ factorial analysis to assess the impact of the many simulation factors in a statistically rigorous way. This allows us to analyze a wider spectrum of scenarios, assessing the interplay of the LTE mechanisms and DRX, and to derive configuration guidelines.  相似文献   

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