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范中磊 《微电子学与计算机》2011,28(5):79-81
提出了一种具有自恢复能力的机群监控系统结构,采用该结构的监控系统可以自动、及时地完成机群系统中故障的发现和排除,从而可极大地增强机群监控系统的智能化和主动控制能力,有效提高整个机群系统的可靠性.采用该结构开发的机群监控系统已经在Linux机群存储系统中得以应用,取得了良好的效果. 相似文献
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《现代电子技术》2016,(9)
传统的集群监控软件无法识别虚拟机虚拟化层的存在,同时,环境的伸缩、虚拟机的频繁增减也对监控系统提出新的需求。针对上述问题设计并实现了Cloud Monitor,即一种面向云计算环境的监控系统,提出了一种多级监控服务器结构,解决主机之间不能相互访问的问题;另外,每个机群都有一个机群监控服务器,机群监控服务器负责处理机群中节点的监控信息,减轻了中心服务器的负担,有效增加了整个监控系统的监控规模。系统在开源监控系统Nagios的基础上结合传统机群监控软件的优点和虚拟化技术的特点,可以监控云计算环境下的各类资源。Cloud Monitor已在实验性云基础平台上集成运行,并验证了其设计目标。 相似文献
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针对潜水电机工作环境恶劣、影响参数多、故障率高等问题,本文设计了一种基于CAN现场总线的潜水电机群分布式智能监控系统。监控节点完成潜水电机的智能控制和故障保护,并通过CAN总线与监控主机进行通信,形成分布式监控网络,简化了系统结构,实现多电机的分散监控和集中管理功能。 相似文献
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针对当前高性能计算机发展的实际情况,分析了机群操作系统远程监控技术的内容,论述了机群操作系统远程监控技术要求的意义,并提出了相关设计方法. 相似文献
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机群并行计算机成为并行计算研究的热点。文中介绍了机群并行系统的特征、机群的体系结构、理想模型,并讨论了在设计机群并行系统时需要考虑的基本因素。 相似文献
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基于生灭过程的机群系统高可用性分析与设计 总被引:6,自引:0,他引:6
文章在对机群系统的运行特性进行分析的基础上,运用马氏过程描述了机群系统中的高可用性(High Availability),并从理论上建立了基于生灭过程的机群高可用模型。文中在给出机群高可用管理软件结构的基础上,设计了一种基于集中式结构的主副容错协议;通过可用度的分析结果得出:机群高可用系统采用了可修复性技术后,只要有一个HA节点能正常工作,该系统是“可用”的。 相似文献
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一种T-S模糊模型的聚类分析与辨识方法 总被引:1,自引:0,他引:1
传统的模糊聚类分析方法分两个步骤,首先使用目标函数进行模糊生成,然后应用聚类有效性函数决定聚类的最佳数目。针对模糊形成和有效性验证函数的内在不同所导致的聚类不准确性,应用一种新的基于双目标模糊聚类分析(BOFCM)的聚类方法。同时将基于三角形隶属函数的T-S模糊系统应用于非线性系统辨识中,该方法可以很方便地确定输入空间的划分及隶属函数的形状,减少了计算量。将以上方法应用于一个二阶系统辨识分析,证实了该方法的有效性。 相似文献
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The existing uneven clustering algorithm have disadvantages of coal mine with long strip structure. This paper proposed a UCEB-CMF protocol to improve the safety of coal mine monitoring system. The new protocol optimize the selection mechanism of the cluster head, avoid the lower residual energy nodes become the cluster head. Improve the calculation method of non-uniform competition radius and the competition way of the candidate cluster head, so the new protocol can ensure the node which close to the Sink node and has the more energy to priority become the cluster head. Propose a multipath routing algorithm according to the characteristics of the node in the coal mine goaf is die easily, it can ensure the persistence of the data transmission. Simulation results show that the routing protocol effectively balances the energy consumption among cluster heads and achieves an obvious improvement on the network life time. 相似文献
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分析和改进了对MFSK信号调制分类算法。考虑到实际系统中脉冲成形的影响,对信号进行了恒包络预处理;选取抗噪能力强的Haar小波提取信号特征;针对无监督聚类算法中FCM算法对初始值敏感,易收敛至局部最优解的缺点,提出了减法聚类和FCM算法相结合的算法求得最佳聚类数;不仅能够保证获得全局最优解,还大大提高了FCM的收敛速率。 相似文献
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Dasey T.J. Micheli-Tzanakou E. 《IEEE transactions on information technology in biomedicine》2000,4(3):216-224
This paper describes the application of a novel unsupervised pattern recognition system to the classification of the visual evoked potentials (VEPs) of normal and multiple sclerosis (MS) patients. The method combines a traditional statistical feature extractor with a fuzzy clustering method, all implemented in a parallel neural network architecture. The optimization routine, ALOPEX, is used to train the network while decreasing the livelihood of local solutions. The unsupervised system includes a feature extraction and clustering module, trained by the optimization routine ALOPEX. Through maximization of the output variance of each node, and an architecture which excludes redundancy, the feature extraction network retains the most significant Karhunen-Loeve expansion vectors. The clustering module uses a modification to the fuzzy c-means (FCM) clustering algorithms, where ALOPEX adjusts a set of cluster centers to minimize an objective error function. The result combines the power of the FCM algorithms with the advantage of a more global solution from ALOPEX. The new pattern recognition system is used to cluster the VEPs of 13 normal and 12 MS subjects. The classification with this technique can, without supervision, separate the patient population into two groups which largely correspond to the MS and control subject groups. A suitable threshold can be chosen so that the recognizer chooses no false negatives. The use of multiple stimulation patterns appears to improve the reliability of the decision. The reasoning of most neural networks in their decision making cannot easily be extracted upon the completion of training. However, due to the linearity of the network nodes, the cluster prototypes of this unsupervised system can be reconstructed to illustrate the reasoning of the system. In this application, this analysis hints at the usefulness of previously unused portions of the VEP in detecting MS. It also indicates a possible use of the system as a training aide 相似文献
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The cluster space state representation of mobile multirobot systems is introduced as a means of enabling enhanced control of mobile multirobot systems. A conceptual framework is proposed for the selection of appropriate cluster space state variables for an n-robot system, the development of formal kinematics that associate the cluster space state variables with robot-specific variables, and the implementation of a cluster space control system architecture. The cluster space approach is then demonstrated for examples of two- and three-robot clusters consisting of differential drive robots operating in a plane. In these examples, we demonstrate cluster space variable selection, review the critical kinematic relationships, and present experimental results that demonstrate the ability of the systems to meet control specifications while allowing a single operator to easily specify and supervise the motion of the clusters. 相似文献
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由于Adhoc网络的独特网络特性,其安全性特别脆弱。在分析了Adhoc网络安全性的基础上,提出了一种聚类算法和人工免疫系统相结合来进行入侵检测的方法。该算法是一种无监督异常检测算法,它具有可扩展性、对输入数据集的顺序不敏感等特性,有处理不同类型数据和噪声数据的能力。实验表明,该算法可以改进Adhoc网络入侵检测的检测率和误检率。 相似文献
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基于目标函数的聚类算法是目前应用最为广泛的聚类分析方法之一.然而这类算法都需要类别数和聚类原型的先验知识,且只能分析具有相同原型的数值型数据.此外这类算法还存在对初始化敏感,易陷入局部极值点等弱点.为此,本文提出一种基于克隆算法的网络结构聚类新算法以实现聚类分析的自动化.由于新算法将克隆选择与禁忌克隆相结合,使网络既具有免疫的特异性又具有免疫的耐受性,通过分析网络神经元的最小生成树,能够快速准确地获得类别数以及相关的分类信息.对各种类型的数据集的测试结果均表明,本文提出的新算法对于处理具有混和特征的数据集聚类分析问题是相当便捷有效的. 相似文献