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作者： Lin, Bing Guo, Wenzhong Lin, Xiuyan School of Mathematics and Computer Science Fuzhou University Fuzhou350116 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou350116 China

The tremendous parallel computing ability of cloud computing encourages investigators to research its drawbacks and advantages on processing large-scale scientific applications such as workflows. The current cloud market is composed of numerous diverse public clouds and a local private cloud, and workflow scheduling is one of the biggest challenges on hybrid clouds due to the highly fragmented cloud market with respect to service provisions, pricing models, and bandwidths. In this paper, we propose an online-scheduling strategy for continuous submitted scientific workflows on hybrid clouds, which aims to complete the deadline-constrained applications as more as possible at a lower price. Firstly, a hierarchical iterative application partition (HIAP) algorithm is proposed to partition the application into a set of dependent tasks. Moreover, many online-scheduling algorithms cooperated with HIAP are presented to finish the workflows with a low average payment. Our strategy takes into account the basic characteristics on hybrid clouds such as bandwidth constraints, data transfer cost and computational cost. Various well-known workflows are used for evaluating the multiple scheduling algorithms and the results show that the MLF_ID approach can achieve a promising performance. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

关键词： Data transfer

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Human Movement Detection and Gait Periodicity Analysis Using Channel State information 12

Human Movement Detection and Gait Periodicity Analysis Using...

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12th International Conference on Mobile Ad-Hoc and Sensor networks, MSN 2016

作者： Liu, Zijuan Wang, Lin Liu, Wenyuan Li, Binbin School of Information Science and Engineering Yanshan University China Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province China School of Economics and Management Yanshan University Qinhuangdao HeBei China

ISBN: (纸本)9781509056965

Under the influence of multipath effects and small scale fading, the robustness and reliability of the existing human detection methods based on radio frequency signals are easy to be impaired. In this paper, we propose a novel design that using the multi-layer filtering of channel state information (CSI) to identify moving targets in dynamic environments and analyze the gait periodicity of human. We employ an efficient CSI subcarrier feature difference to the multi-layer filtering method leveraging principal component analysis (PCA) and discrete wavelet transform (DWT) to eliminate the noises. Furthermore, we propose a profile matching mechanism for human detection and a periodicity analysis mechanism for human gait taking advantage of the above design. We evaluated it with the commodity Wi-Fi infrastructures in different environments. Experimental results indicate that our approach performs identification of human with an average accuracy of 94%. © 2016 IEEE.

关键词： Principal component analysis

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Towards QoE assessment of encrypted YouTube adaptive video streaming in mobile networks

Towards QoE assessment of encrypted YouTube adaptive video s...

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International Workshop on Quality of Service

作者： Wubin Pan Gaung Cheng Hua Wu Yongning Tang School of Computer Science and Engineering Southeast University China Ministry of Education Key Laboratory of Computer Network and Information Integration China School of Information Technology Illinois State University USA

Video streaming has become one of the most prevalent mobile applications, and takes a huge portion of the traffic on mobile networks today. YouTube is one of the most popular and volume-dominant video content providers. Understanding the user perception on the quality (i.e., Quality of Experience or QoE) of YouTube video streaming services is thus paramount for the content provider as well as its content delivery network (CDN) providers. Although various video QoE assessment approaches proposed to use different key Performance Indicators (KPIs), they are all essentially related to a common parameter: Bitrate. However, after YouTube adopted HTTPS as its adaptive video streaming method to better protect user privacy and network security, bitrate cannot be obtained anymore from encrypted video traffic via typical deep packet inspection (DPI) method. In this paper, we tackle this challenge by proposing a machine learning based bitrate estimation (MBE) approach to parse bitrate information from IP packet level measurement. For evaluating the effectiveness of MBE, we have chosen video Mean Opinion Score (vMOS) proposed by a leading telecom vendor, as the QoE assessment framework, and have conducted comprehensive experiments to study the impact of bitrate estimation accuracy on its KPIs for HTTPS YouTube video streaming service. Experimental results show that MBE is a feasible and highly effective approach to obtain in real time the bitrate information from encrypted video streaming traffic.

关键词： Streaming media YouTube Bit rate Servers Cryptography Adaptive systems Mobile communication

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Detecting Adversaries in Distributed Estimation

Detecting Adversaries in Distributed Estimation

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Asilomar Conference on Signals, Systems, and computers

作者： Yuan Chen Soummya Kar Jose M. F. Moura School of Information Engineering Zhengzhou University Zhengzhou China Ministry of Education Key Laboratory for Intelligent Networks and Network Security Xi’an Jiaotong University Xi’an China Southampton Wireless School of Electronics and Computer Science University of Southampton Southampton U.K.

This paper studies distributed parameter estimation in the presence of adversarial agents. We consider the Flag Raising Distributed Estimation (FRDE) algorithm, a consensus+innovations distributed algorithm for the non-compromised agents to simultaneously perform parameter estimation and detect the presence of adversaries. So long as the non-compromised agents form a connected network and are globally observable, then, we can show that the FRDE algorithm either leads the non-compromised agents to correctly estimate the parameter or detect the adversarial activity preventing correct estimation. We demonstrate the performance of the FRDE algorithm through numerical examples.

关键词： Estimation Sensors network topology Distributed algorithms Pollution measurement Topology Parameter estimation

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Choice of the detection location in a three-party measurement-device-independent quantum key distribution system

Choice of the detection location in a three-party measuremen...

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Frontiers in Optics, FiO 2016

作者： Qiao, Yucheng Li, Zhengyu Chen, Ziyang Luo, Bin Peng, Xiang Guo, Hong State Key Laboratory of Advanced Optical Communication System and Network School of Electronics Engineering and Computer Science Center for Quantum Information Technology Peking University Beijing100871 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China

We propose a method of choosing the detection location for a three-party measurement-device-independent quantum key distribution system, which can simplify the parameter optimization problem for practical applications... 详细信息

ISBN: (纸本)9781943580194

关键词： Quantum cryptography

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STM32-based vehicle data acquisition system for Internet-of-Vehicles

STM32-based vehicle data acquisition system for Internet-of-...

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International Conference on computer and information Science (ACIS)

作者： Yong Xie Xin Su Yifan He Xuhui Chen Gengliang Cai Baisheng Xu Wenjia Ye Department of Computer and Information Engineering Xiamen University of Technology Xiamen R.P. China Hunan Provincial Key Laboratory of Network Investigational Technology Hunan Police Academy Changsha R.P. China Department of Electrical Engineering Eindhoven University of Technology The Netherlands

ISBN: (纸本)9781509055081

As the new era of the Internet of Things(IoT) is driving the evolution of conventional Vehicle Ad-hoc networks into the Internet of Vehicles(IoV), vehicles are equipped with different kinds of sensor and become a sensing node themselves in IoV. Consequently, complexity of the automotive electronic system inside the vehicles are daily increasing. To guarantee the safe operation of vehicles, it is of great significance to acquire vehicle data in real-time to realize the on-line diagnosis, cybersecurity attacking detection and et al. In this paper, we propose to realize a STM32-based data acquisition system(DAS), where the vehicle data transferred on CAN networks are acquired through the OBD2(On-Broad Diagnosis) interface. And then, the acquired vehicle data are parsed and analyzed preliminarily according to the OBD2 protocol, and then shown on a LED displayer. Through the implementation of a prototype system, the feasibility and effectiveness of the proposed design of DAS is verified.

关键词： Data acquisition Protocols ISO Standards Real-time systems Automobiles Liquid crystal displays Internet

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Low-dose CBCT reconstruction via 3D dictionary learning

Low-dose CBCT reconstruction via 3D dictionary learning

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IEEE International Symposium on Biomedical Imaging

作者： Jin Liu Yang Chen Yining Hu Limin Luo Ministry of Education The Key Laboratory of Computer Network and Information Integration (Southeast University) China Centre de Rechercheen Information Biomedicale Sino-Francais (LIA CRIBs) Rennes France

ISBN: (纸本)9781479923519

Dictionary based regularization has shown its potential to improve the low-dose computed tomography (CT) imaging quality. In this paper, we developed a 3D dictionary learning (3D-DL) regularization approach for low-dose cone-beam computed tomography (CBCT) reconstruction. A 3D dictionary learned from standard-dose CT volumes database is used to build the prior term, and an alternating minimization scheme is developed to minimize the objective function. The reconstructed image and its sparse representation are updated alternately in the iterative process. We evaluated the performance of the proposed method using both low-dose and sparse-view CBCT datasets. Qualitative and quantitative results show that the proposed method can lead to a promising improvement of reconstruction quality.

关键词： Image reconstruction Dictionaries Computed tomography Three-dimensional displays Minimization Linear programming X-ray imaging

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Analysis of web traffic based on HTTP protocol

Analysis of web traffic based on HTTP protocol

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International Conference on Software, Telecommunications and computer networks (SoftCOM)

作者： Jiajia Chen Weiqing Cheng School of Computer Science & Technology Nanjing University of Posts and Telecommunications Nanjing China Ministry of Education Key Laboratory of Computer Network and Information Integration (Southeast University) Nanjing China

ISBN: (纸本)9781509025787

With the development of Internet, new applications are emerging in an endless stream, and traditional applications are constantly changing. Over the past decade, Internet applications develop rapidly, and great changes have taken place in application traffic characteristics of ordinary hosts and servers. Analyzing Internet application traffic characteristics is meaningful to understanding today's network applications, traffic classification, application optimization, network planning and so on. This paper first studies the current composition of Web traffic on the Internet based on analyzing HTTP (Hypertext Transfer Protocol) messages. Instead of page response time, it analyzes types of Web servers and measures Web server response time to speculate the development of Web servers.

关键词： Web servers Time factors HTML Protocols Optimization

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On the k-error linear complexity of generalised cyclotomic sequences

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International Journal of High Performance Computing and networking 2016年第5-6期9卷 394-400页

作者： Liu, Longfei Yang, Xiaoyuan Du, Xiaoni Wei, Bin Key Laboratory of Network and Information Security of APF Engineering College of APF Xi'an710086 China Key Laboratory of Computer Network and Information Security of the Ministry of Education Xidian University Xi'an710071 China

Generalised cyclotomic binary sequences are divided into Whiteman-generalised cyclotomic and Ding-generalised cyclotomic. Firstly, two classes of error generalised cyclotomic sequences with length pq over Zpq are constructed;secondly, k-error linear complexity of generalised cyclotomic sequences are considered, using the trace representation and cyclotomic theory, respectively. It is shown that k-error linear complexity of generalised cyclotomic sequences do not exceed p + q-1 which is much less than the (zero-error) linear complexity. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Binary sequences

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Improved broad learning system: partial weights modification based on BP algorithm

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IOP Conference Series: Materials Science and Engineering 2018年第3期439卷

作者： Da Li Ji Shujuan Zhang Chunjin College of Computer Science and Technology Shandong University of Science and Technology Qingdao Shandong 266590 China Key Laboratory for wisdom mine information technology of Shandong Province Shandong University of Science and Technology Qingdao Shandong 266590 China Network Information Center (NIC) Shandong University of Science and Technology Qingdao Shandong 266590 China

Although breakthrough achievements of deep learning have been made in different areas, there is no good idea to prevent the time-consuming training process. Single-layer feedforward neural networks (e.g. BLS) are used to reduce the training time. However, with the decrease of training time, the accuracy degradation has emerged. In view of the limitation of random generation of connection parameters between feature nodes and enhancement nodes, this paper presents an algorithm (IBLS) based on BLS and backpropagation algorithm to learn the weights between feature nodes and enhancement nodes. Experiments over NORB and MNIST data sets show that the improved broad learning system achieves acceptable results.

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