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检索条件"机构=Beijing Key Laboratory for Network System Architecture and Convergence"

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GreSDN: Toward a green software defined network

GreSDN: Toward a green software defined network

引用

Asia-Pacific network Operations and Management Symposium (APNOMS)

作者： Ying Hu Tao Luo Wenjie Wang Chunxue Deng Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Beijing University of Posts and Telecommunications Beijing Beijing CN

ISBN: (纸本)9781467390576

Software defined network (SDN) attracts wide attentions from both research and industry fields because of its properties such as programmability, high flexibility, and controllability. However, the energy waste problem still exists in SDN as well as in the traditional networks. Fortunately, because of the centralized control, energy saving strategies will be easy to be deployed in SDN. Aiming at improving the energy efficient of SDN, a green scheme named GreSDN is designed in this paper. Different from the previous works, GreSDN advocates that minimizing the energy consumption of the network without changing the transmission paths of the traffic flow until they finished. To this end, we propose two heuristic routing algorithms that can be deployed in GreSDN. Simulation results show that the algorithms can improve energy efficiency of the network largely, and have a little impact on the network performance.

关键词： Topology Energy consumption Heuristic algorithms network topology Routing Complexity theory Sleep apnea

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A Real-time Algorithm for Finding Frequent Items Over Sliding Window

A Real-time Algorithm for Finding Frequent Items Over Slidin...

引用

2016 IEEE 7th International Conference on Software Engineering and Service Science

作者： Jing Li Jun Liu Wenli Zhou Beijing Key Laboratory of Network System Architecure and Convergence Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecure and Convergence Beijing University of Posts and Telecommunications Beijing HaoHan Data Information Technology Co.LTD

The Paper presents an improved algorithm for finding frequent elements over a sliding *** makes no assumption on the distribution of the input items' *** main structure composes of only a few maps and short *** using hash table and other data structure to manage counters,the running time is dramatically *** thorough experiment and logical analysis,the running time has reduced to constant.

关键词： frequent items sliding window streaming algorithms network monitoring

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Prediction of total execution time for MapReduce applications

Prediction of total execution time for MapReduce application...

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International Conference on Information Science and Technology (ICIST)

作者： Yan Ling Fang Liu Yue Qiu Jiajie Zhao Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Haohandata Technology Co. Ltd Beijing China

In this paper, we estimate the total execution time of two applications under different input data size with linear regression model and error correction neural network model respectively. From the prediction results, we can conclude that error correction neural network model can predict the total execution time of these applications under different input data size accurately and the prediction accuracy of error correction neural network model for CPU-intensive workloads is much higher compared to linear regression model.

关键词： Decision support systems

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Efficient Hashing Technique Based on Bloom Filter for High-Speed network

Efficient Hashing Technique Based on Bloom Filter for High-S...

引用

International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC

作者： Yanzhe Du Gang He Dechen Yu Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Wisetone Technology Co. Ltd Beijing China

ISBN: (纸本)9781509007691

Hashing is an extensively used technique for packet-processing of High-Speed network. Hashing provides a more efficient way for storing and looking up TCP sessions, achieving O(1),query, insert, and delete operations at low loads. However, with the rapid development of network, we have to deal with packets from higher-speed as well as higher-load network which means that it should be necessary to process more packets in constant time. In this case, traditional hashing scheme using a single hash function with chaining to deal with collisions cannot alleviate the situation of more frequent collisions caused by increased table occupancy and load. In this paper, we aim to seek what makes a more efficient Hashing Scheme from three aspects: Hash function, data storing structure and collision resolution policy. Also, we will survey much of the recent work in hashing scheme, paying particular attention to their performance in High-Speed network and the difference in their performance when dealing with various situations. Besides, in this paper, we propose a Hashing-Scheme called PBS-CPE (Previous Bucket Store-Change Priority of Elements). Strictly speaking, PBS-CPE is a fast-querying method instead of a complete set of Hashing Scheme, however, PBS-CPE can fit in as part of any efficient Hashing Scheme just because of this.

关键词： Data structures Filtering algorithms Ports (Computers) High-speed networks IP networks Radiation detectors Probabilistic logic

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An improved RBF neural network for short-term load forecast in smart grids

An improved RBF neural network for short-term load forecast ...

引用

International Conference on Communication systems

作者： Yun Lu Tiankui Zhang Zhimin Zeng Jonathan Loo Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China School of Science and Technology Middlesex University United Kingdom

ISBN: (纸本)9781509034246

With the rapid development of smart grids, a large volume of smart meter data has been collected. The analysis of these big data can be leveraged to channel the data from individual meters into knowledge valuable to electric power utilities and end-consumers. Short-term load forecasting is essential for ensuring both efficient and reliable operations of smart grids. This paper proposes an improved Radial Basis Function neural network model (RBF-PCA-WFCM) for short-term load forecast, which use the weighted Fuzzy C-Means (FCM) clustering algorithm based on Principal Component Analysis (PCA) to determine the basis function centers, and use the gradient descent algorithm to train the output layer weights. The proposed model is implemented on real smart meter data and simulation results show that better forecasting accuracy could be achieved by using the proposed model comparing with the conventional RBF neural network model based on K-Means (RBF-KM).

关键词： Clustering algorithms Predictive models Load forecasting Load modeling Neurons Principal component analysis Neural networks

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An improved Markov method for prediction of user mobility

An improved Markov method for prediction of user mobility

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International Conference on network and Service Management

作者： Yihang Cheng Yuanyuan Qiao Jie Yang Beijing Laboratory of Advanced Information Networks of BUPT Beijing China Beijing Key Laboratory of Network System Architecture and Convergence of BUPT Beijing China Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781509032365

The developments of Information and Communication Technology (ICT) and Internet of Things (IoT) are being used to enhance quality, performance and interactivity of urban services. Benefited from the widespread adoption of mobile devices, we can collect amount of mobile data for user mobility analysis. Mining hidden information from users' mobile data is important for builders of smart city to provide better location-based service. This paper focuses on two classical domain-independent prediction models and one improved Markov model that are capable of estimating the next location. By using 27-day-long traffic data of mobile network, we extract trajectories of 4914 individuals for experiments. We find that the original Markov algorithm has a better performance in resource consumption than LZ family algorithms, but its prediction accuracy is lower than prediction accuracy of LeZi Update and Active LeZi algorithm. In order to improve the prediction accuracy of Markov and overcome drawbacks of traditional prediction algorithms, we present a new method based on Markov, which considers both temporal and spatial factors. Extensive experiments demonstrate our improved method has a better performance in location prediction. In addition, we further study the relationship between prediction accuracy and trajectory's regularity, to identify the most suitable prediction algorithm for a trajectory.

关键词： Markov processes Prediction algorithms Trajectory History Mobile communication Mobile handsets Predictive models

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An advanced trie-based HTTP parsing algorithm

An advanced trie-based HTTP parsing algorithm

引用

International Conference on Information Science and Technology (ICIST)

作者： Anqi Li Dazhong He Huan Wang Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China Haohandata Technology Co. Ltd. Beijing China

In the age of network globalization, a monotonically increasing amount of traffic data is produced continuously every day. Capturing HTTP traffic fast and accurately has become a valuable issue. In this paper, we analyzed Hypertext Transfer Protocol (HTTP) and found out patterns of its structure. Then we designed a data acquiring system with an advanced trie-based protocol parsing algorithm. Based on trie, this system can extract user-defined fields without mismatch or backtracking. According to characteristics of the specific HTTP protocol structure, we divided protocol fields into two classes and processed them respectively. When storing protocol fields, we chose to store the starting address and the offset of the required fields instead of storing all the string in memory. Thus we increased efficiency and saved memory in the meanwhile. HTTP traffic data was captured from a commercial Internet service provider with our own data acquiring system. In experiments, the proposed algorithm was demonstrated to be correct, efficient and extensible through the comparison with traditional HTTP protocol parsing method.

关键词： Decision support systems

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Multi-centers cooperative estimation based fast spectrum sensing

Multi-centers cooperative estimation based fast spectrum sen...

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IEEE International Conference on Communications (ICC)

作者： Sai Huang Zhiyong Feng Yuanyuan Yao Yifan Zhang Ping Zhang Key Laboratory of Universal Wireless Communications Ministry of Education Wireless Technology Innovation Institute (WTI) Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications

To reduce the huge consumption of traditional sensing, a multi-centers estimation based sensing scheme is proposed in this paper. Firstly, all potential channels are clustered into highly related groups with some channels selected as detecting channels (DCs) using an unsupervised algorithm. In each group, the states of other channels (estimated channels, ECs) are estimated according to their correlations with the DCs and the dependence on history to save sensing time. Specifically, number of groups (Ng) and number of DCs in each group (NDC) can be adjusted jointly to improve sensing performance. Moreover, two Hidden Markov Model (HMM) based estimation methods, namely joint estimation (JE) and cooperative estimation (CE), are formulated. In JE, the DCs are modeled as the observed vectors and utilized jointly to estimate ECs' states. While in CE, each DC estimates ECs' states separately and a weight-based cooperative algorithm is designed to merge their results. Tested with real-world measurement data, results show the reduced sensing consumption is considerable at the expense of slight sensing accuracy loss. On these bases, it is significant to note that NdC should be adjusted according to sensing consumption to optimize performance.

关键词： Hidden Markov models Correlation Sensors Estimation Channel estimation Entropy Clustering algorithms

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Handoff management scheme based on frame loss rate and RSSI prediction for IEEE 802.11 networks

Handoff management scheme based on frame loss rate and RSSI ...

引用

International Symposium on Wireless Communication systems (ISWCS)

作者： Tao Lei Xiangming Wen Zhaoming Lu Wenpeng Jing Biao Zhang Gang Cao Beijing Laboratory of Advanced Information Networks Beijing Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing Beijing Advanced Innovation Center for Future Internet Technology

This paper proposes a frame loss rate (FLR) and received signal strength indicator (RSSI) prediction based handoff management scheme to reduce the ping-pong effect caused by the purely RSSI based handoff decision schemes in IEEE 802.11 networks. The proposed scheme is performed by each mobile station (MS) in a decentralized manner. In the proposed scheme, the FLR information is used as handoff trigger criterion. To perceive the change trends of wireless link thus reducing the target AP selection time, the proposed scheme adopts polynomial regression-based RSSI prediction approach. The predicted RSSI together with FLR information is used for target access point (AP) selection. Moreover, we construct neighboring AP information list (NAIL) for MSs to store the above information. Therefore, the proposed scheme can also be called NAIL-based handoff management scheme. The results indicate that the proposed scheme can effectively reduce the invalid handoffs and avoid the ping-pong effect.

关键词： Wireless communication Nails Ad hoc networks Monitoring IEEE 802.11 Standard Received signal strength indicator Wireless LAN

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A modified Matérn hard core point process for modeling and analysis of dense IEEE 802.11 networks

A modified Matérn hard core point process for modeling and ...

引用

International Symposium on Wireless Communication systems (ISWCS)

作者： Tao Lei Xiangming Wen Zhaoming Lu Wenpeng Jing Kun Chen Xiaoguang Zhao Beijing Laboratory of Advanced Information Networks Beijing Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing Beijing Advanced Innovation Center for Future Internet Technology

ISBN: (纸本)9781509020621

Stochastic geometry is a powerful tool for modeling wireless networks employing various MAC protocols with random topologies. For wireless networks operating carrier sense multiple access/collision avoidance (CSMA/CA) protocol, there are distance constraints between simultaneous transmitters, and only one node is allowed to transmit within its carrier sensing range. Matérn hard core point process is generally used to model and analyze the performance of this type of networks, because it is a repulsive point process that also defines a minimum distance between any two points. However, the traditional Matérn HCPP has the defect of underestimating the intensity of concurrent transmission nodes, which will affect the accuracy of analysis results, when wireless nodes are densely deployed. In this paper, we propose a modified Matérn HCPP called TM-HCPP which can mitigate the intensity underestimation problem to model dense IEEE 802.11 networks. Then, we simulate the network coverage probability using the traditional Matérn HCPP and the proposed TM-HCPP, and compare the simulated results with the theoretical analyzed results. Simulation results validate the accuracy of the proposed TM-HCPP.

关键词： IEEE 802.11 Standard Interference Measurement Wireless networks Fading channels Geometry Protocols

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