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International Conference on information, Communications and Signal Processing

作者： Xuan Luo Pengfei Zhang Tong Ye Yaohui Jin Jianping Wang Network and Information Center Shanghai Jiaotong University State Key Laboratory of Advanced Optical Communication Systems & Networks Shanghai Jiaotong University Department of Computer Science City University of Hong Kong

ISBN: (纸本)9781479904327

Among all SLAs(Service Level Agreements) about network resources in the cloud, a critical problem would be achieving bandwidth guarantee under all communication environment (e.g., when misbehaved VMs exist) while keeping acceptable bandwidth utility and system scalability. In this paper, we present an architecture of dynamic bandwidth allocation and guarantee on resource fairness, to provide network performance isolation and protocol independent bandwidth guarantees. In this paper, we first discuss the business model of bandwidth guarantee for Infrastructure-as-a-Service (IaaS) cloud, and a bandwidth allocation algorithm based on redefined fairness model is proposed and realized under the novel architecture, and finally experiment shows satisfying results under various communication scenarios.

关键词： Bandwidth Switches Protocols Integrated circuits

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Using Chou’s Pseudo Amino Acid Composition for Protein Remote Homology Detection

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Engineering（科研） 2013年第10期5卷 149-153页

作者： Bin Liu Xiaolong Wang School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Shenzhen Guangdong China Key Laboratory of Network Oriented Intelligent Computation Harbin Institute of Technology Shenzhen Graduate School Shenzhen Guangdong China Shanghai Key Laboratory of Intelligent Information Processing Shanghai China School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Shenzhen Guangdong China Key Laboratory of Network Oriented Intelligent Computation Harbin Institute of Technology Shenzhen Graduate School Shenzhen Guangdong China

Protein remote homology detection is a key problem in bioinformatics. Currently, the discriminative methods, such as Support Vector Machine (SVM), can achieve the best performance. The most efficient approach to improve the performance of the SVM-based methods is to find a general protein representation method that is able to convert proteins with different lengths into fixed length vectors and captures the different properties of the proteins for the discrimination. The bottleneck of designing the protein representation method is that native proteins have different lengths. Motivated by the success of the pseudo amino acid composition (PseAAC) proposed by Chou, we applied this approach for protein remote homology detection. Some new indices derived from the amino acid index (AAIndex) database are incorporated into the PseAAC to improve the generalization ability of this method. Our experiments on a well-known benchmark show this method achieves superior or comparable performance with current state-of-the-art methods.

关键词： Protein Remote Homology Support Vector Machine Pseudo Amino Acid Composition Protein Representation

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Research on network malicious code dendritic cell immune algorithm based on fuzzy weighted support vector machine

Research on network malicious code dendritic cell immune alg...

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6th China Conference of Wireless Sensor networks, CWSN 2012

作者： Li, Peng Wang, Ruchuan Zhou, Yanting Dai, Qiuyu College of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing Jiangsu 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Jiangsu Province Nanjing Jiangsu 210003 China College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing Jiangsu 210003 China

ISBN: (纸本)9783642362514

According to the significant impact on the accuracy rate of detection of current immune algorithms brought by incorrect classification of signal, it proposes network malicious code dendritic cell immune algorithm based on fuzzy weighted support vector machine. It summarizes and compares the pros and cons of the four methods, which are basic artificial intelligence immune algorithm, detection of unknown viruses based on immunity theory, malicious code immunity based on cryptography and automated intrusion response based on danger theory. It elaborates the process of the algorithm of the proposed immune algorithm, discusses a variety of input and output signals, gives the samples of the actual input signals, applies the coefficient of variation method to determine the values of the weights so as to enhance the discrimination ability of signal processing results, describes the principle and algorithm steps of fuzzy weighted support vector machine clustering method within immune algorithm proposed. By comparing the fuzzy aggregation before and after the immunization program experiments, it draws the conclusion that the proposed immune algorithm can optimize the input signal, fuzzy clustering the signal and the antigen, so as to bring down the number of immunization strategies and reduce the immune response time, as a result it improve the efficiency and performance of the immune system. © 2013 Springer-Verlag.

关键词： Cells

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Performance analysis of optimal relay selective cooperation in railway network

Performance analysis of optimal relay selective cooperation ...

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5th IET International Conference on Wireless, Mobile and Multimedia networks (ICWMMN 2013)

作者： Jia You Zhangdui Zhong Shan Yang Yang Liu Gongpu Wang State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Network Technology Research Institute China United Network Communications Co. Ltd School of Computer and Information Technology Beijing Jiaotong University Beijing China

In the railway network, the fact that signal amplitude suffers loss resulted from signal traversing through the carriage which named by carriage pass loss, highly influences the reliability of the wireless communication system. In this paper, we propose an optimal relay selective cooperation (ORSC) scheme without the acknowledgment from the destination as if it succeeds in decoding or not. The main purpose of this paper is to evaluate the performance of ORSC transmission schemes. Specifically, the closed-form outage probabilities for ORSC transmission scheme are derived. By comparing obtained outage probability of ORSC with the non-cooperation transmission scheme, we find the ORSC transmission has better performance, better reliability and significantly eliminates the impact of the carriage passing loss.

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Research on short-term wind farm output power prediction model based on meteorological data collected by WSN

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International Journal of Hybrid information Technology 2013年第5期6卷 219-226页

作者： Ma, Li Li, Bo Jie, Du Shen, Jian Wang, Jin Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China Key Laboratory of Meteorological Disaster of Ministry of Education Nanjing University of Information Science and Technology Nanjing 210044 China

The prediction of wind farm output power is considered as an effective way to increase the wind power capacity and improve the safety and economy of power system. It is one of the hot research topics on wind power. The wind farm output power is related to many factors such as wind speed, temperature, etc., which is difficult to be described by some mathematical expression. In this paper, Back Propagation (BP) neural network algorithm and genetic algorithm (GA) are combined to establish the prediction model of the short-term wind farm output power based on meteorological data collected by Wireless Sensor network (WSN). The Meteorological data is used to determine the input variables of the BP neural network. Meanwhile, the GA is used to adjust the value of BP's connection weight and threshold dynamically. Then the trained BP neural network is used to predict the wind power. The experiment results show that our method has better prediction capability compared with that using BP neural network alone or using wind power formulas. © 2013 SERSC.

关键词： Wireless sensor networks

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Overlapping community detection combining content and link

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Journal of Zhejiang University-Science C(computers and Electronics) 2012年第11期13卷 828-839页

作者： Zhou-zhou HE Zhong-fei(Mark)ZHANG Philip S.YU Zhejiang Provincial Key Laboratory of Information Network Technology Department of Information Science and Electronic EngineeringZhejiang UniversityHangzhou 310027China Department of Computer Science University of Illinois at ChicagoIL 60607USA

In classic community detection, it is assumed that communities are exclusive, in the sense of either soft clustering or hard clustering. It has come to attention in the recent literature that many real-world problems violate this assumption, and thus overlapping community detection has become a hot research topic. The existing work on this topic uses either content or link information, but not both of them. In this paper, we deal with the issue of overlapping community detection by combining content and link information. We develop an effective solution called subgraph overlapping clustering (SOC) and evaluate this new approach in comparison with several peer methods in the literature that use either content or link information. The evaluations demonstrate the effectiveness and promise of SOC in dealing with large scale real datasets.

关键词： Overlapping Content Link Community detection

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Nonlinearity profile test for an S-box

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2011 International Conference on Future Wireless networks and information Systems, ICFWI 2011

作者： Gao, Sheng Ma, Wenping Zhu, Jiwei Key Laboratory of Computer Network and Information Security Ministry of Education Xidian University Xi'an 710071 China

ISBN: (纸本)9783642273223

A new security test for substitution boxes (S-boxes), the nonlinearity profile test, is presented, together with its results over the S-boxes of DES and AES. The test can be used to measure the global nonlinearity for an S-box effectively, which overcomes the disadvantage of existing methods that cannot evaluate the nonlinear capacity of an S-box against attacks which keep some input bits constant. © 2012 Springer-Verlag GmbH.

关键词： Cryptography

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A memory and variable neighborhood structure based complete local search for the no-wait job shop problem

A memory and variable neighborhood structure based complete ...

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2012 IEEE 16th International Conference on computer Supported Cooperative Work in Design, CSCWD 2012

作者： Li, Minmin Zhu, Jie Li, Xiaoping Key Laboratory of Computer Network and Information Integration of Ministry of Education School of Computer Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9781467312127

In this paper, an effective metaheuristic is developed for the no-wait job shop problem with the objective of makespan minimization, which is strongly NP-hard. The problem is usually decomposed into a sequencing sub-problem and a timetabling one. A partial delay timetabling method is constructed by combining the as early as possible strategy with the as late as possible rule. By integrating the variable neighborhood structure, a new Local Search method CLMVN (Complete Local Search with Memory and Variable Neighborhood structure) is presented for the sequencing problem. Experimental results show that CLMVN outperforms CLLM (the best algorithm for the considered problem so far) on average with less computation time. © 2012 IEEE.

关键词： Job shop scheduling

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A netflow v9 measurement system with network performance function 5th

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5th International Conference on Internet and Distributed Computing Systems, IDCS 2012

作者： Cheng, Guang Wu, Hua School of Computer Science and Engineering Southeast University Nanjing210096 China Key Laboratory of Computer Network and Information Integration Ministry of Education China

ISBN: (纸本)9783642348822

Netflow can be employed for accounting, anomaly detection and network monitoring, and can bring new data source for network management. But most IPv6 routers in CERNET2 backbone network don’t provide IPFIX or NetFlow flow record function. Netflow flow records don’t have the network performance information, such as RTT and packet loss ratio, so we hardly use the Netflow data to analyze the network performance. In this paper, we designs a NetFlow v9 measurement system (N9MS) which converts IPv6 packet headers into the Net-Flow v9 flow records and monitors the link performance with these flow records. The N9MS has two improvements to the traditional Cisco’s sampled NetFlow feature. Firstly, the Cisco’s sampling strategy is to sample packets, while that in the N9MS is flow sampling which can keep all packets in the sampled flows to infer network performance based on these sampled packets. Secondly, N9MS directly uses these sampled packets to calculate these performance metrics, such as round trip time (RTT) and packet loss ratio. We also define both RTT and packet loss ratio fields in the scalability NetFlow v9 template format. In this paper we also use the N9MS to monitor a 10Gbps backbone link between Nanjing site and the CNGI-CERNET2 backbone, and give some experimental results. © Springer-Verlag Berlin Heidelberg 2012.

关键词： information management

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Estimation packet loss ratios for the two segments of end-to-end path on the monitor

Estimation packet loss ratios for the two segments of end-to...

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2012 International Conference on computer Science and Service System, CSSS 2012

作者： Cheng, Guang Gao, Zhongyao School of Computer Science and Engineering Southeast University Nanjing 210096 China Key Laboratory of Computer Network and Information Integration Ministry of Education China

ISBN: (纸本)9780769547190

Packet loss may cause the degradation of network and application performance. This paper proposes a passive measurement method called LTS to estimate end-to-end path packet loss ratio for the two segments of the path divided by the monitor node. This method can estimate the packet loss ration of each segment and infer loss ratios based on IP headers identification field, TCP headers sequence number and packets interval. The segment estimation packet loss method can be useful to evaluate the performance of core network or internet work if the monitor is put in the border of a network. The algorithm is evaluated to use a test bed simulation measurement, and is analyzed reordering ratios and loss ratios based on the traces collected from the CERNET backbone links. © 2012 IEEE.

关键词： Packet loss

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