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The Choice of Mesh Structure in Computer networks

The Choice of Mesh Structure in Computer Networks

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international conference on Networking (ICN)

作者： Leszek Koszalka Chair of Systems and Computer Networks Wroclaw University of Technology Wroclaw Poland

The mesh-connected architecture is widely used in multi-computers and computer networks for parallel and distributed computing. In such architectures each executor (processor or computer) has up to four neighbors. This condition can be naturally (physically) met in dedicated supercomputers, but the problem arises when there is a need to implement this architecture for computer networks, such as Internet, where each computer is connected to each other. The aim of this work is to provide an algorithm to create an efficient mesh-structure, choosing the best possible connections between considered nodes of a computer network. The proposed algorithms AGAMS is based on the genetic algorithm idea. Some results of investigations of properties of AGAMS are discussed.

关键词： Computer networks Costs Computer architecture Supercomputers Genetic algorithms Network topology Electronic mail distributed computing IP networks Physics computing

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An Experimental Study on Peer Selection in a P2P Network over PlanetLab

An Experimental Study on Peer Selection in a P2P Network ove...

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international conference on parallel Processing Workshops (ICPPW)

作者： Fatos Xhafa Leonard Barolli Raul Fernandez Thanasis Daradoumis Department of LSI Polytechnic University of Catalonia Barcelona Spain Department of Information and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan Department of Information Sciences Open University of Catalonia Barcelona Spain

Peer selection is an important aspect in many P2P applications requiring efficient assignment and execution of jobs to peer nodes and search and file transfer, among others. Due to increasing interest of using P2P systems for distributed computing, peer selection is taking relevance and several models have been proposed in the P2P literature. Yet, there are very few experimental studies for peer selection in P2P networks deployed in real large scale networks. In this work we present an experimental study that aims at revealing empirical information about the efficiency of selecting peer nodes in a P2P network when deployed in a real geographically distributed network. To this end, we have used a JXTA-based P2P platform deployed in Planet- Lab, a planetary scale infrastructure, and have empirically evaluated several peer selection models. Our experimental study showed that in order to achieve efficient P2P applications, appropriate selection model should be used according to the characteristics of the application.

关键词： Peer to peer computing distributed computing Large-scale systems Protocols Computer applications Large scale integration Robustness parallel processing Processor scheduling Sun

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A Virus Immunization Model Based on Communities in Large Scale networks

A Virus Immunization Model Based on Communities in Large Sca...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Jianhua Sun Jizha Qin Shu Chen Hao Chen Dingding Li Adv. Internet and Media Laboratory School of Comp. and Communications Hunan University Changsha China Beijin School Hunan Business College Changsha China

With the development of computers and Internet, more and more people use email. Viruses of email have caused large damages. Traditional intentional immunization based on nodes degree does not take the positions of infected nodes into account, and protects the nodes which have high degree. We introduce the concept of community into the research field of virus and immunization, and propose an immunization model based on communities. According to the different stages of virus infection, this model immunizes infected communities or healthy communities, which slows down the virus spreading rate and keeps virus from spreading to more communities. Degree immunization can not keep the virus in a part of communities, and as a result the infected nodes diffuse in almost all communities. Communities immunization can keep the virus in a certain number of communities. These two models are different in the ratio of infected communities and infected communities vector. In summary, communities immunization is different from the degree immunization completely, and is a novel and effective scheme.

关键词： Immune system Large-scale systems Internet Social network services Computer viruses Complex networks Software engineering Artificial intelligence distributed computing Sun

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A Two-phase Flight Data Feature Selection Method Using both Filter and Wrapper

A Two-phase Flight Data Feature Selection Method Using both ...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Liang Zhang Fengming Zhang Yongfeng Hu Engineering Department AFEU Aeronautical Materiel Management Xi'an China

Feature selection is an important issue in flight data mining. By selecting only relevant features of flight data, higher prediction accuracy can be expected and computational complexity can be reduced. In this paper we propose a novel two-phase flight data feature selection approach using both filter and wrapper. It begins by running artificial neural network weight analysis (ANNWA) as a filter approach to remove irrelevant features, then it runs genetic algorithm as a wrapper approach to remove redundant or useless features. We demonstrate the usefulness of the proposed approach on two real- world datasets based on flight data. Our algorithm reduces the size of flight data feature space significantly without compromising the classification or the prediction performance.

关键词： Filters Computer network management conference management Engineering management Aerospace engineering Data engineering Artificial neural networks Genetic algorithms Data mining Military aircraft

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A New Model of Printer Color Management Based on Legendre Neural Network

A New Model of Printer Color Management Based on Legendre Ne...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Li Xinwu Electronic Business department Jiangxi University of Finance and Economics Nanchang China

Color management for the printer is one of the key techniques in the color image reproduction. A new color management model is presented based on analyzing the printer color rendering principle. First, the paper takes standard color target for experimental sample, and substitutes color blocks in color shade district for complete color space. Second, data collecting method is introduced and some data bases for deducing the model are created. Then, BP network model is corrected to speed up model's convergence and a new model for printer color management based on the Legendre neural network is deduced and analyzed. Finally the experimental results show that the model can improve printer color management accuracy and can be used in its color management practically.

关键词： Printers Neural networks Image color analysis Convergence Displays Computer network management conference management Financial management Engineering management Machine learning

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A New Inner Congestion Control Mechanism in Terabit Routers

A New Inner Congestion Control Mechanism in Terabit Routers

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Huaxi Gu Kun Wang Chu Ke Changshan Wang Guochang Kang State key Laboratory of ISN Xidian University Xi'an China School of Computer Science Xidian University Xi'an China ZTE Corporation Shenzhen China

Direct interconnection network (DIN) has gained more and more attention when designing the switching fabric in the terabit routers. Various congestion control mechanisms are proposed for DIN when it is employed in the parallel computer systems. However, they all have own shortcomings and are not suitable for fabrics in the terabit routers. Based on the requirements of terabit class routers we propose a new congestion control mechanism in this paper. It uses a new detection criterion, i.e. the length of the source buffer, which is more accurate. Besides, the presence of the real time traffic is considered in particular. No throttling is imposed on such traffic to provide QoS. The input traffic will go into different source queue according to their traffic class. The input queue for the real time traffic will no longer be stopped to provide QoS. Finally, simulations are carried out by OPNET software. The results show that our congestion control mechanism eliminates performance degradation for loads beyond saturation, keeping adequate levels of throughput at high loads.

关键词： Traffic control Fabrics Concurrent computing Throughput Communication system traffic control Internet Multiprocessor interconnection networks Computer networks Communication system control Software engineering

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Description of Key Performance Index States based on Cloud Theory and Weight Mean method for Multi-sensor

Description of Key Performance Index States based on Cloud T...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Qiuyu Zhang Lei Sun Yanfeng Jin College of Computer and Communication Lanzhou University of Technology Lanzhou China

Key performance index analysis is a good complementing to the evaluation of past system security states, and the study on it has realistic meanings accordingly. It is realized that cloud theory and the weighted mean method for multi-sensor could qualitatively describe key performance index states. The data gathered from the multi-sensor under normal states will be tested for consistency by using distributing graph method firstly and will come out the fusion of the minimum average mean variance value by using the weighted mean method for multi-sensor secondly. Then the above data fusion will be compared with the key performance index data at every arbitrary moment and each amount of deviation by forgoing compare will be gained. At last the five remark sets constructed from cloud theory combining with the amount of deviation will realize the qualitative description of key performance index states. The experiment result shows the validity of this method.

关键词： Performance analysis Clouds Testing distributed computing Data security Software engineering Artificial intelligence Sun Educational institutions Computer networks

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Automatic attack plan recognition from intrusion alerts

Automatic attack plan recognition from intrusion alerts

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Li Wang Zhi-Tang Li Jie Ma Yang-Ming Ma Ai-Fang Zhang Computer Science Department Huazhong University of Science and Technology Wuhan Hubei China

The amount of security application products connected to the Internet increased so dramatically that they usually generate huge volumes of security audit data. Therefore, it is important to develop an advanced alert correlation system that can reduce data redundancy and provide effective direction. This paper describes the framework, SATA, for Security Alerts and Threats analysis. Using SATA, raw audit data is firstpreprocessed into hi-alerts, which are refined and verified as true threat. We further analyze the correlation-ship of real-time hi-alerts to achieve the goal of online attack plan recognition. A key contribution of the paper is thus in automatic "multistage attack plan recognition". It also solves the problem of detecting novel multi-stage attacks. Experiment shows our approach can effectively correlate multi-stage attack behaviors and identify true attack threats.

关键词： Data security Information security Computer security IP networks Project management Software engineering Artificial intelligence distributed computing Computer science Application software

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Study on Prediction of Prosodic Phrase Boundaries in Chinese TTS

Study on Prediction of Prosodic Phrase Boundaries in Chinese...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Ziping Zhao Yaoting Zhu College of Information Technical Science Nankai University Tianjin China

Hierarchical prosody structure generation is a key component for a speech synthesis system. One major feature of the prosody of Mandarin Chinese speech flow is prosodic phrase grouping. In this paper three methods are proposed to predict prosodic phrase. The first is a statistic probability model, which efficiently combines the local POS and word length information. Experiments show by choosing appropriate threshold the model can reach a high precision and high recall ratio. Secondly we use the decision tree learning algorithm combined with the pause rules of Chinese empty words to predict prosodic phrase boundary in unrestricted Chinese text. The experiments show that the approach improves overall performance. Another is an SVM-based method. The precision and recall ratio are improved after using SVM classifier.

关键词： Speech synthesis Probability Support vector machines Support vector machine classification Hidden Markov models Software engineering Artificial intelligence distributed computing Intelligent networks Educational institutions

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An Innovative Restoration Algorithm with Prioritized Preemption Enabled

An Innovative Restoration Algorithm with Prioritized Preempt...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Jingyi Wang Zhiyu Zhou Jian Wu Beijing University of Posts and Telecommunications China Bell Laboratories Research China Lucent Technology Beijing China

This paper proposes an innovative prioritized restoration algorithm which enables carefully scheduled preemption (RAPPE). Firstly, it makes dedicate differentiation among network resources based on their roles in holding up services (working or backup) as well as the service levels they are carrying; secondly, it enables both higher level service preempting resources of lower and lower level service utilizing spare resources of higher; thirdly, it carefully schedules preempting rules. Simulation results show RAPPE satisfies various service requirements according to their priority levels and improves the network resource utilization sharply. Moreover, RAPPE also achieves wonderful performance in preemption perspective for it minimizes the preempted service level as well as the number of preempted services, both of which are important criteria in evaluating a preemption algorithm. Furthermore, to implement the RAPPE in existed networks, only a simple PathCost object needs to be installed on the existed routing module of edge nodes.

关键词： Protection Resource management Software algorithms Scheduling algorithm Delay Costs Software engineering Artificial intelligence distributed computing Routing

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