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Evaluation of web caching consistency

Evaluation of web caching consistency

引用

International Conference on Advanced computer Theory and engineering, ICACTE

作者： Hai Liu Maobian Chen Department of Computer Engineering and Technology Guangdong Institute of Science and Technology Zhuhai Guangdong China Network Center Guangzhou Productivity Promotion Center Guangzhou China

ISBN: (纸本)9781424465392

With the fact of rapid development of the World Wide Web, the web usage has imposed a heavy load on the network and server infrastructure, and significant delays are not uncommon. To mitigate the effects of these increased usages, there has been much research and work in web caching. Web caching reduces network load, server load, and the latency of responses. However, one main disadvantage of web caching is that a stale page might be returned to clients if the origin version has changed and there is no consistency mechanism to maintain. In this paper, we present a survey of contemporary cache consistency mechanisms in use on the Web today and examine recent research in web cache consistency. In addition, we analyze the performance of each algorithm of caching consistency using communication traffic model in details.

关键词： Servers

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Optical flow switching

Optical flow switching

引用

OptoElectronics and Communications Conference, OECC

作者： Vincent W. S. Chan Claude E. Shannon Communication and Network Group Research Laboratory of Electronics Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology USA

We will explore a new network transport ”optical flow switching-OFS”, that will enable significant data rate growth and cost-effective scalability of next-generation networks. The talk will concentrate on the tough ... 详细信息

关键词： Optical switches Optical fiber networks Optical amplifiers Image motion analysis computer vision Wide area networks computer architecture

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Discussion on the relation between SVM training sample size and correct forecast ratio for simulation experiment results

Discussion on the relation between SVM training sample size ...

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2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010

作者： Zhu, Shuguang Zhu, Fangzhou Fan, Weibing Mo, Qian Li, Zhiqiang Hu, Xiaofeng Si, Guangya Center for Engineering Design and Research under Headquarters of General Equipment Beijing China College of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Network Center Beijing Technology and Business University Beijing China Department of Information Operation and Command Training National Defense University Beijing China

ISBN: (纸本)9780769540771

A series of support vector machine (SVM) forecast experiments are carried out to reveal the relation between the SVM training sample size and SVM correct forecast ratio for simulation experiment results. Experiment results show that the SVM correct forecast ratio increases to some extent with the number of training samples becoming more and then keeps unchanged even if the SVM training sample number increases further. And SVM has also been proved to be able to overcome the over-fitting issue always afflicting Back-Propagation Neural networks (BPNN). © 2010 IEEE.

关键词： Support vector machines

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A More Accurate Space Saving Algorithm for Finding the Frequent Items

A More Accurate Space Saving Algorithm for Finding the Frequ...

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International Workshop on Database Technology and Applications

作者： Jun Zhou Ming Chen Huan Xiong Department of Computer Science Institute of Command Automation People''s Liberation Army University of Science and Technology Nanjing China Department of Computer Network China Electrical System Engineering Research Institute Beijing China

The frequent items problem is to process a stream as a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in data stream mining, dating back to the 1980s. Aiming at higher false positive rate of the Space-Saving algorithm, an LRU-based (Least Recently Used, LRU) improved algorithm with low frequency item pre-eliminated is proposed. Accuracy, stability and adaptability of the improved algorithm have been apparently enhanced. Experimental results indicate that the algorithm can not only be used to find the frequent items, and can be used to estimate the frequency of them precisely. The improved algorithm can be used for online processing both high-speed network packet stream and backbone NetFlow stream.

关键词： Monitoring Radiation detectors Algorithm design and analysis Accuracy Heuristic algorithms Complexity theory Classification algorithms

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Optical power budget and cost estimation for Intelligent Fiber-To-the-Home (i-FTTH)

Optical power budget and cost estimation for Intelligent Fib...

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International Conference on Photonics (ICP)

作者： Ng Boon Chuan Aswir Premadi Mohammad Syuhaimi Ab-Rahman Kasmiran Jumari Spectrum Technology Research Division Computer & Network Security Research Group Department of Electrical Electronics & Systems Engineering Faculty of Engineering & Built Environment Universiti Kebangsaan Malaysia Bangi Selangor Darul Ehsan Malaysia

This paper calculates the optical power budget and power margin for designing a conventional passive optical network (PON)-based Fiber-To-the-Home (FTTH) and Intelligent Fiber-To-the-Home (i-FTTH) with different link length of drop fiber and optical power splitting ratio of 1×N passive optical splitter. A simple calculation is used to determine how much loss and power are available for each individual fiber link in both networks with different type of signals. The cost estimation for both networks including the additional optical monitoring, switching, and protection systems are calculated and compared.

关键词： Optical fibers Passive optical networks Integrated optics Optical network units Optical transmitters

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Considering behavior of sender in spam mail detection

Considering behavior of sender in spam mail detection

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International Conference on networked Computing (INC)

作者： S. Naksomboon C. Charnsripinyo N. Wattanapongsakorn Computer Engineering Department King Mongkut''s University of Technology Thonburi Bangkok Thailand Network Technology Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand

ISBN: (纸本)9781424469864;9788988678206

Recently, the number of spam mails is exponentially growing. It affects the costs of organizations and annoying the e-mail recipient. Spammers always try to find the way to avoid filtering out from the email system. At the same time, as an email recipient or network system/administrator, we try to have an effective spam mail filtering technique to catch the spam mails. The problems of spam mail filtering are that each user has different perspective toward spam mails; so there are many types of spam mails, while the challenge is how to detect the various types and forms of spam mails. In this paper, behaviors of spammers are used to customize the filtering rule. The information from the spam messages also can be used to filter spam mails and it can give higher accuracy than the keyword-based method does. We propose a spam classification approach using Random Forest algorithm. Spam Assassin Corpus is selected as a database for classification. It consists of 6,047 email messages, where 4,150 of them are the legitimate messages and the other 1,897 messages are the spam mails.

关键词： Postal services Unsolicited electronic mail Electronic mail Filtering Bayesian methods Artificial neural networks computer networks Filters Internet Business

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D-TDMA: An Approach of Dynamic TDMA Scheduling for Target Tracking in Wireless Sensor networks

D-TDMA: An Approach of Dynamic TDMA Scheduling for Target Tr...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Yun Wang Peizhong Shi Kai Li Zhikui Chen Department of Computer Science & Engineering Key Laboratory of Computer Network and Information Integration MOE South-East University Nanjing China School of software technology Dalian university of technology Dalian China

ISBN: (纸本)9781424497799

In the application of target tracking based on dynamic convey tree-based collaboration (DCTC) in wireless sensor networks, collisions and interferences among nodes pose a challenge for data aggregation. In this paper, we refine slot allocation to the nodes in dynamic convey tree and design an energy efficient MAC protocol called D-TDMA, which avoids collisions and interferences and allocates contiguous active slots to nodes as far as possible during data aggregation from leaf nodes to a root node. As a result, the energy consumption in switching from sleeping to active state is saved. Simulation results show that D-TDMA not only gets rid of the impact of collisions and interferences among nodes in dynamic convey tree, but also performs similar throughput to that of CSMA-like mechanism where nodes work without active/sleep scheduling strategy. Our protocol outperforms ESR in both energy efficiency and low delay.

关键词： Wireless sensor networks Target tracking Dynamic scheduling Interference Resource management Protocols Sensors

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A new approach for internet worm detection and classification

A new approach for internet worm detection and classificatio...

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International Conference on networked Computing (INC)

作者： N. Sarnsuwan C. Charnsripinyo N. Wattanapongsakorn Computer Engineering Department King Mongkut''s University of Technology Thonburi Bangkok Thailand Network Technology Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand

ISBN: (纸本)9781424469864;9788988678206

To detect internet worm, many academic approaches have been proposed. In this paper, we provide a new approach to detect internet worm. We consider behaviors of internet worm that is different from the normal pattern of internet activities. We consider all network packets before they reach to the end-user by extracting a certain number of features of internet worm from these packets. Our network features mainly consist of characteristics of IP address, port, protocol and some flags of packet header. These features are used to detect and classify behavior of internet worm by using 3 different data mining algorithms which are Bayesian network, Decision Tree and Random Forest. In addition, our approach not only can classify internet worm apart from the normal data, but also can classify network attacks that have similar behaviors to the internet worm behaviors. Our approach provides good results with detection rate over 99.6 percent and false alarm rate is close to zero with Random forest algorithm. In addition, our model can classify behaviors of DoS and Port Scan attacks with detection rate higher than 98 percent and false alarm rate equal to zero.

关键词： Internet computer worms IP networks Data mining Telecommunication traffic Intrusion detection computer networks Support vector machines Support vector machine classification Bayesian methods

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Application and research of ZigBee technology in the miner's lamp monitoring

Application and research of ZigBee technology in the miner's...

引用

International Seminar on Future Information Technology and Management engineering, FITME

作者： Jingzhao Li Qian Liu School of Computer Science and Engineering Anhui University of Science and Technology Huainan Anhui China Department of Network Management Henan TV Station Zhengzhou Henan China

ISBN: (纸本)9781424490875

In this paper, the embedded systems and ZigBee technology are used to build a miner's lamp monitoring and control system. This miner's lamp monitoring and control system is composed of a central control station and a number of miner's lamp charging nodes. The central control station of miner's lamp monitoring and control system is constructed with the embedded microcontrollers S3C2410A based on ARM9, the chip CC2430 having ZigBee wireless communication technology and the corresponding interface circuit; The chip CC2430 including 8051, sampling circuit and the corresponding sensors are used to construct miner's lamp node. Zigbee is used to communicate wireless between central control station and miner's lamp node. This system achieves monitoring and control of the state of charge on the miner's lamp, and the high effective control and management on use of miner's lamp. Its functionality, the hardware circuit design, bottom drivers design, operating system transplant, and user program design are analyzed in this paper; this system effectively improved the reliability of miner's lamp charging system and the intelligence level of miner's lamp management.

关键词： Monitoring Real time systems Wireless communication Switches Batteries Educational institutions

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Design of multi-band antenna using Sperrtopf

Design of multi-band antenna using Sperrtopf

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作者： Yokoyama, Tsutomu Hoashi, T. Nakamiya, T. Department of General Education Sojo University 4-22-1 Ikeda Kumamoto 860-0082 Japan Department of Electronics Computer and Network Sojo University 4-22-1 Ikeda Kumamoto 860-0082 Japan Department of Electronics and Intelligent Systems Engineering Tokai University 9-1-1 Toroku Kumamoto 862-8652 Japan

ISBN: (纸本)9781934142141

In this paper, a novel design method for two band antenna using monopole antenna with Sperrtopf for mobile communication and Digital communications System is presented. We made a trial two-band antenna, with operating frequencies of 800MHz and 2.04 GHz, and examined the design method by the comparing measured VSWR of the antenna with the simulation results using simulation soft WIPL-D Microwave and Nec-2. The simulation results of the VSWR were in good agreement with the experimental results.

关键词： Monopole antennas

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