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作者： Shi, Xuanhua Jiang, Hongbo He, Ligang Jin, Hai Wang, Chonggang Yu, Bo Chen, Xueguang Service Computing Technology and Systems Lab School of Computer Huazhong University of Science and Technology China Department of Electronics and Information Engineering Huazhong University of Science and Technology China Department of Computer Science University of Warwick United Kingdom InterDigital Communications Corp. United States Department of Automation Control and Engineering Huazhong University of Science and Technology China

A Cloud system, which is also often called a data center, may host a large number of application servers (termed as applications for short in this paper) that consume various types of resource, such as CPU, memory, and I/O. In such a scenario, the application placement strategy, which specifies how to host applications across the physical servers in the Cloud, is critical to achieve good system- and/or client-oriented performance. The existing application placement algorithms in literature assume that the consumption of system resources is proportional to the level of workloads submitted to the system. In this paper, we reveal that it may not be the case in some circumstances. Based on this observation, we design and implement an application placement framework, called EAPAC, for Clouds. The developed framework is able to achieve the optimized performance by judiciously allocating to the applications a proper mixture of different types of application request as well as an appropriate number of requests in each type. Further, we investigate the issue of resource conflicts among different applications when there exist concurrent requests in the system. We have conducted extensive experiments to evaluate the performance of the developed framework. The experiment results show that compared with the existing method in literature, EAPAC can improve the performance by 35% in terms of the reply rate. © 2013 Elsevier Inc.

关键词： Application placement Cloud Resource conflicts

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New LS-SVM approximate solutions to ordinary differential equations

New LS-SVM approximate solutions to ordinary differential eq...

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Chinese Control Conference (CCC)

作者： Guoshan Zhang Yiming Wang Shiwei Wang Wanquan Liu School of Electrical Engineering and Automation Tianjin University Tianjin China Department of Computing Curtin University WA Australia

ISBN: (纸本)9789881563835

In this paper a new method is proposed to solve morder linear and one order nonlinear ordinary differential equations (ODEs) based on Least Squares Support Vector Machines (LS-SVMs). At first, an appropriate transition is made from the ODEs to an optimization problem, after which the algorithm solves the optimization problem in the LS-SVM framework. Finally a high-accuracy differentiable approximate solution with simple and fixed structure is presented in closed form. Numerical results demonstrate the efficiency of the proposed method for solving non-stiff and singular ordinary differential equations with initial or boundary conditions.

关键词： Differential equations Electronic mail Least squares approximations Educational institutions Optimization Support vector machines Electrical engineering

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Sensor data quality assessment for building simulation model calibration based on automatic differentiation

Sensor data quality assessment for building simulation model...

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2013 IEEE International Conference on automation Science and engineering, CASE 2013

作者： Li, Sisi Song, Zhen Zhou, Mengchu Lu, Yan Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07013 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Automation and Control Siemens Corporation Corporate Technology Princeton NJ 08540 United States

ISBN: (纸本)9781479915156

Building simulation models play a vital role in optimal building climate control, energy audit, fault detection and diagnosis, continuous commissioning, and planning. Real system parameters are often unknown or partially unknown and need to be identified through historical data, which are currently acquired by heuristically designed experiments. Without quality sensor data, model calibration is prone to fail, even if the calibration algorithm is appropriate. In this paper, we propose a Fisher-information-matrix (FIM)-based metric to examine the sensor data measurements and how their quality is related to the model calibration quality. It aims to provide quantitative guidance in the calibration cycle of a whole building model that takes as many variables as possible into consideration for the sake of accuracy. Our concerned model is based on well-known physical laws and tries to avoid simplification, thereby leading to a highly discontinuous system with model switches due to the seasonal or daily variation and other reasons. Such a model is implemented in the form of a software package. Hence, no explicit mathematical expression can be given. A key technical challenge is that the complexity of the model prohibits the analytical derivation of FIM, while the numeric calculation is sensitive to sensor noise and model switches. We, hence, propose to adopt an automatic differentiation method, which exploits the operator overload feature of object oriented programming language, for robust numerical FIM calculation. © 2013 IEEE.

关键词： Numerical methods

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A comparative analysis of dissimilarity measures for clustering categorical data

A comparative analysis of dissimilarity measures for cluster...

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2013 International Joint Conference on Neural Networks, IJCNN 2013

作者： Xavier, João C. Canuto, Anne M. P. Almeida, Noriedson D. Goncalves, Luiz M. G. Digital Metropolis Institute Federal University of Rio Grande Do Norte Natal RN Brazil Department of Informatics and Applied Mathematics Federal University of Rio Grande Do Norte Natal RN Brazil Computing and Automation Engineering Department Federal University of Rio Grande Do Norte Natal RN Brazil

ISBN: (纸本)9781467361293

Similarity and dissimilarity (distance) between objects is an important aspect that must be considered when clustering data. When clustering categorical data, for instance, these distance (similarity or dissimilarity) measures need to address properly the real particularities of categorical data. In this paper, we perform a comparative analysis with four different dissimilarity measures used as a distance metric for clustering categorical data. The first one is the Simple Matching Dissimilarity Measure (SMDM), which is one of the simplest and the most used metric for categorical attribute. The other two are context-based approaches (DIstance Learning in Categorical Attributes - DILCA and Domain Value Dissimilarity-DVD), and the last one is an extension of the SMDM, which is proposed in this paper. All four dissimilarities are applied as distance metrics in two well known clustering algorithms, k-means and agglomerative hierarchical clustering algorithms. In this analysis, we also use internal and external cluster validity measures, aiming to compare the effectiveness of all four distance measures in both clustering algorithms. © 2013 IEEE.

关键词： Clustering algorithms

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Insights into the zero dynamics of nonlinear sampled systems with splines

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ICIC Express Letters 2013年第12期7卷 3237-3244页

作者： Zeng, Cheng Liang, Shan Ishitobi, Mitsuaki Su, Yingying College of Automation Chongqing University No. 174 Shazhengjie Shapingba Chongqing 400044 China Department of Mathematics Guiyang University No. 103 Jianlongdong Road Guiyang 550005 China Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education Chongqing University No. 174 Shazhengjie Shapingba Chongqing 400044 China Department of Mechanical Systems Engineering Kumamoto University 2-39-1 Kurokami Kumamoto 860-8555 Japan

Most real world systems operate usually in continuous time, but, in practice, to utilize them the signal must first be sampled through digital devices. In this paper, we show how a particular strategy can be used to approximate the system output and its derivatives in such a way that splines are used to generate the continuous-time input to the system. Moreover, a sampled-data model obtained has an advantage to the Yuz and Goodwin's model in the error analyses aspect, and the results presented also show how the sampling zero dynamics of the proposed model obtaind are expressed. © 2013 ISSN 1881-803X.

关键词： Continuous time systems

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An Underwater Cooperative Navigation Scheme

An Underwater Cooperative Navigation Scheme

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Oceans 2013 - Norway

作者： Marcelo Nogueira Joao Souza Fernando Pereira Department of Computing Engineering and Automation Universidade Federal do Rio Grande do Norte Electrical and Computer Engineering Department Faculdade de Engenharia da Universidade do Porto

ISBN: (纸本)9781479900022

In this article we present and discuss a cooperative localization and navigation system based on the Extended Kalman Filter specifically designed to meet the requirements of the underwater environment. These lead us to consider a SLAM-like scheme in which some other Autonomous Underwater Vehicles (AUVs) play the role of mobile environment features and range measurements are used as external data. Own "recent" navigation data and some minimal communicated data by other AUVs are used to consistently update pose estimates and error covariances of relevant vehicles. A number of simulation and experimental results are presented to illustrate the approach.

关键词： Navigation data External data Ranging measurements navigation Underwater Scheme Wet underwater environment Mobile Environment Autonomous underwater vehicles Navigation systems

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Experimental study of two event-based PI controllers in a solar distributed collector field

Experimental study of two event-based PI controllers in a so...

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European Control Conference (ECC)

作者： J. Chacón J. Sánchez L. Yebra A. Visioli S. Dormido Department of Computing Science and Automation UNED Madrid Spain Department of Electrical Engineering Università degli studi di Brescia Italy CIEMAT Solar Platform of Almería

In this work we focus on the study of limit cycles that appear in a control scheme which is based on the use of a PI controller with an event-based send-on-delta sampling (SOD), which can be used to sample either the process variable or the control variable. We use an algorithm to calculate the limit cycles properties and then we compare the results obtained in simulations with experiments performed on a real plant, a distributed solar collector field at the Solar Platform of Almería (PSA, Spain). The process is identified as a first order plus time delay (FOPTD). Practical issues, such as the implementation of an anti-windup mechanism and a bumpless transfer between the manual and automatic mode are also addressed.

关键词： Process control Limit-cycles Sensors Actuators Temperature control Closed loop systems

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A brain-computer interface test-bench based on EEG signals for research and student training

A brain-computer interface test-bench based on EEG signals f...

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2013 1st IEEE Symposium on Computational Intelligence in Healthcare and e-Health, CICARE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

作者： Raif, Pawel Mahmud, Mufti Hussain, Amir Klos-Witkowska, Aleksandra Suchanek, Renata Dept. of Biosensors and Biomedical Signals Processing Silesian University of Technology Gliwice Poland NeuroChip Laboratory University of Padova Padova Italy Division of Computing Science and Maths University of Stirling United Kingdom Department of Electrical Engineering and Automation University of Bielsko-Biala Bielsko-Biala Poland Department of Medical Genetics Medical University of Silesia Sosnowiec Poland

The paper describes a test-bench model for braincomputer interface research based on EEG signals. The test-bench is going to be used for students training and education. The goal is to prepare modern Brain-Computer In... 详细信息

ISBN: (纸本)9781467358835

关键词： Brain computer interface

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Partial energy-efficient hop-by-hop retransmission in wireless sensor networks

Partial energy-efficient hop-by-hop retransmission in wirele...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Daniel G. Costa Luiz Affonso Guedes Francisco Vasques Paulo Portugal Department of Technology State University of Feira de Santana Brazil Department of Computing and Automation Federal University of Rio Grande do Norte Brazil IDMEC INESC TEC Faculty of Engineering University of Porto Portugal

Wireless sensor networks can be deployed for a large set of monitoring functions, providing information as humidity, pressure, temperature, luminosity, among many others. When monitored data is transmitted over wireless links, packets can be corrupted requiring some error recovery strategy. Hop-by-hop retransmission can provide an acceptable level of reliability, but can potentially increase the energy consumption of the network. In fact, wireless communications are error prone, and interferences may be concentrated in specific parts of the network. We propose a semi-reliable retransmission mechanism where only packets carrying critical information will be always retransmitted if corrupted. The remaining corrupted packets will not be retransmitted, saving energy of the network. We designed an energy consumption model to evaluate the proposed approach.

关键词： Energy consumption Wireless sensor networks Reliability Monitoring Wireless communication Energy efficiency Temperature sensors

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A comparative analysis of dissimilarity measures for clustering categorical data

A comparative analysis of dissimilarity measures for cluster...

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International Joint Conference on Neural Networks (IJCNN)

作者： João C. Xavier Anne M. P. Canuto Noriedson D. Almeida Luiz M. G. Gonçalves Universidade Federal do Rio Grande do Norte Natal RN BR Department of Informatics and Applied Mathematics The Federal University of Rio Grande do Norte Natal RN Brazil Computing and Automation Engineering Department The Federal University of Rio Grande do Norte Natal RN Brazil

关键词： Clustering algorithms Indexes DVD Equations Machine learning algorithms Weight measurement

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