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IEEE International Symposium on Network Coding

作者： Zhang, Minglong Li, Hui Chen, Fuxing Hou, Hanxu An, Huiyao Wang, Wei Huang, Jiaqing Shenzhen Key Lab. of Cloud Computing Tech. and Application Shenzhen Graduate School Peking Univ. 518055 China Dept. of Electronic and Information Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781612841403

This paper presents a practical and general coder and decoder of network coding (NC) with HDL (Hardware Description Language) logic for wire-speed nodes in multisource multicast networks. The NC coders apply random linear network coding (RLNC) and the decoders recover the original packets by Cramer's rule. All these mathematical operations are carried out in the Galois Field (2 8). The structures and algorithms of NC coder and decoder were designed in detail and implemented in HDL with NetFPGA boards provided by Stanford University. Comparing with traditional stored-and-forward mechanism, network emulations showed that networks with wire-speed NC coder and decoder nodes could achieve the capacity bound of max-flow min-cut theorem in case of bottlenecks, and the end-to-end delay was guaranteed on a small constant. © 2011 IEEE.

关键词： Network coding

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Exploring the availability and effectiveness of named data networking in handling consumer mobility

Exploring the availability and effectiveness of named data n...

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2014 International Conference on Industrial Electronics and Engineering (ICIEE 2014)

作者： Kai Lei Fanyun Zou Shenzhen Key Laboratory for Cloud Computing Technology and Applications(SPCCTA) School of Electronics and Computer Engineering Peking University

Due to increasing demands from mobile users for continuous and high-quality Internet access, especially in rapidly mobile environment such as on fast cars or trains, it becomes more important and urgent to design and reform mobile network protocols to satisfy those needs. Current solutions for mobile networks under TCP/IP architecture, like mobile IP, produce enormous overhead and high forwarding delay. A new network architecture called Named Data Networking(NDN) is believed to be more suitable to deal with mobile network, due to its nature of consumer-driven and its own characteristics such as cache, forwarding strategy and security. Motivated by that, in this paper, we designed Consumer Mobility model in NDN(CMNDN) and implemented it in ndn SIM. CMNDN achieved good performance in quick-response and high-speed environment. The experimental results show that NDN is available and effective in handling consumer mobile network.

关键词： consumer mobility TCP/IP named data networking CMNDN ndn SIM

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Editorial

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Science China(Physics,Mechanics & Astronomy) 2014年第8期57卷 1413-1413页

作者： ZHANG Bo WU JunTing WANG BinQiang LI Hui National Digital Switching System Engineering Technological R&D Center Shenzhen Key Lab of Cloud Computing Technology and Application

The past decade has witnessed the birth of the golden age of precision cosmology. In particular, cosmic microwave back- ground （CMB） measurements have provided a powerful observational window to probe the earliest epochs of our Universe. Recently （March, 2014）, the Background Imaging of Cosmic Extragalactic Polarization （BICEP2） telescope at the South Pole announced the first detection of primordial B-mode polarization of the CMB that, if confirmed,

关键词：编辑宇宙微波背景宇宙学观察窗口河外星系 CMB 望远镜影像

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An Entropy-based Probabilistic Forwarding Strategy in Named Data Networking

An Entropy-based Probabilistic Forwarding Strategy in Named ...

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IEEE International Conference on Communications

作者： Kai Lei Jiawei Wang Jie Yuan Institute of Big Data Technologies Shenzhen Key Lab for Cloud Computing Technology & Applications School of Electronics and Computer Engineering (SECE) Peking University

ISBN: (纸本)9781467364300

The forwarding strategy is the key to the resiliency and efficiency of Named Data Networking (NDN), which is a new and fundamental research area. For forwarding strategy, dynamically selecting an optimal interface from multiple alternative interfaces to forward an Interest packet is indeed a multiple attribute decision making (MADM) problem. In this paper, an entropy-based probabilistic forwarding (EPF) strategy is proposed to make a stochastic interface selection based on the combination of interfaces' dynamic availabilities and static routing information, which achieves better load balance in comparison with deterministic interface selection. By objectively assigning weights to attributes and considering multiple real-time network condition metrics, EPF can obtain the availabilities of interfaces more accurately and comprehensively. Since additional network metrics can be easily added and integrated into interfaces' assessment model, EPF provides good extensibility. In addition, we innovatively define two parameters (γ, δ) which can be used to trade off the effect factors between static routing information and dynamic running status of interfaces to customize EPF strategy for different network and application scenarios. Experiments show that EPF can realize preferable load balance and achieve higher throughput compared to the representative BestRoute forwarding strategy.

关键词： Entropy Throughput Routing Probabilistic logic Load modeling Packet loss

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A synchronous algorithm of network coding with hardware logic

A synchronous algorithm of network coding with hardware logi...

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Symposium on ICT and Energy Efficiency and Workshop on Information Theory and Security (CIICT 2012)

作者： Jiang Li Yining Li Hui Li Zhipu Zhu Huayu Zhang Fuxing Chen Shenzhen Key Lab of Cloud Computing Technology & Application Shenzhen Graduate School Peking University China 518055

This paper presents an efficient hardware prototype for network coding (NC). First, a packet synchronization mechanism is introduced to settle the problem of packet arriving mismatch between different incoming channels. Then a high-speed lookup-table-based circuit is designed to perform dot product over Galois Field, which forms the basic calculation unit of NC operation. Taking the speed advantage of FPGA hardware, this prototype is able to perform network coding operations within several hundred nanoseconds. Thus further studies and emulations on NC are able to be carried out upon this platform in the real network scenario.

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Constructing Multiple Scene Graphs in Distributed Environment

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Computer Aided Drafting,Design and Manufacturing 2015年第1期25卷 16-21页

作者： XIA Rui WANG Guo-ping LI Sheng WANG Heng Shenzhen Key Lab for Cloud Computing Technology and Applications Shenzhen Graduate School of Peking University Graphics & Interaction Lab. School of Electronics Engineering and Computer SciencesPeking University Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University

Scene graph is a infrastructure of the virtual reality system to organize the virtual scene with abstraction, it can provide facility for the rendering engine and should be integrated effectively on demand into a real-time system, where a large quantities of scene objects and resources can be manipulated and managed with high flexibility and reliability. We present a new scheme of multiple scene graphs to accommodate the features of rendering engine and distributed systems. Based upon that, some other functions, e.g. block query, interactive editing, permission management, instance response, ＂redo＂ and ＂undo＂, are implemented to satisfy various requirements. At the same time, our design has compatibility to popular C/S architecture with good concurrent performance. Above all, it is convenient to be used for further development. The results of experiments including responding time demonstrate its good performance.

关键词： multiple scene graphs authority scene editing distributed systems

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G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks

G-MAP: General Memory-Augmented Pre-trained Language Model f...

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2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022

作者： Wan, Zhongwei Yin, Yichun Zhang, Wei Shi, Jiaxin Shang, Lifeng Chen, Guangyong Jiang, Xin Liu, Qun Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institute of Advanced Technology Chinese Academy of Science China University of Chinese Academy of Sciences China Huawei Noah's Ark Lab Huawei Cloud Computing Zhejiang Lab China

Recently, domain-specific PLMs have been proposed to boost the task performance of specific domains (e.g., biomedical and computer science) by continuing to pre-train general PLMs with domain-specific corpora. However, this Domain-Adaptive Pre-Training (DAPT;Gururangan et al. (2020)) tends to forget the previous general knowledge acquired by general PLMs, which leads to a catastrophic forgetting phenomenon and sub-optimal performance. To alleviate this problem, we propose a new framework of General Memory-Augmented Pre-trained Language Model (G-MAP), which augments the domain-specific PLM by a memory representation built from the frozen general PLM without losing any general knowledge. Specifically, we propose a new memory-augmented layer, and based on it, different augmented strategies are explored to build the memory representation and then adaptively fuse it into the domain-specific PLM. We demonstrate the effectiveness of G-MAP on various domains (biomedical and computer science publications, news, and reviews) and different kinds (text classification, QA, NER) of tasks, and the extensive results show that the proposed G-MAP can achieve SOTA results on all tasks. © 2022 Association for Computational Linguistics.

关键词： Computational linguistics

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Understanding Sina Weibo online social network: A community approach

Understanding Sina Weibo online social network: A community ...

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2013 IEEE Global Communications Conference (GLOBECOM)

作者： Kai Lei Kai Zhang Kuai Xu Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) Peking University Shenzhen P.R. China School of Mathematical and Natural Sciences Arizona State University

ISBN: (纸本)9781479913510

Sina Weibo, one of the most popular online social networks in China, has recently become a critical medium for Internet users to disseminate and discuss breaking news, social events and other information. Although online social networks and social media have received significant attention from the research community, few studies have focused on Sina Weibo due to the lack of data collection. Given the sheer size of Sina Weibo online social network and vast amount of tweets, retweets and comments, this paper introduces a novel community approach for understanding Sina Weibo online social network. Specifically, we collect all Weibo users registered with shenzhen as primary geographic location, and build a shenzhen Weibo community graph based on their following or follower relationships. Our experimental results describe interesting graphical characteristics such as clustering coefficients of this community graph, and reveal the impact of user popularity on tweet influence. Through modeling interactions of shenzhen Weibo users and their tweeted messages with bipartite graphs and one-mode projections, we analyze the similarity of retweeting and commenting activities among these users, and discuss the implications of the findings on understanding different types of user accounts and the motivations of their following and retweeting behaviors. To the best of our knowledge, this study is the first effort to introduce a community approach for understanding the community characteristics of Sina Weibo and characterizing the similarity of retweeting behaviors and following relationships.

关键词： Communities Educational institutions Correlation Data collection Bipartite graph Twitter

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Hot topic analysis and content mining in social media

Hot topic analysis and content mining in social media

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IEEE International Conference on Performance, computing and Communications (IPCCC)

作者： Qian Yu WeiTao Weng Kai Zhang Kai Lei Kuai Xu Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) Peking University Shenzhen P.R. China School of Mathematical and Natural Sciences Arizona State University

ISBN: (纸本)9781479975761

Sina Weibo has become an increasingly critical social media in China for sharing latest news, marketing new products, and discussing controversial issues. The rising importance of Sina Weibo on the society makes it very important to understand “what”, “when”, “who” on hot topics that are being continuously tweeted and searched by millions of active users. In this paper, we develop a systematic approach to characterize temporal distribution of hot topics searched by Sina Weibo users over a four-month time-span and to uncover correlated hot topics that are not only tweeted by the same users, but also appear in the similar set of tweet messages. We analyze real-time Sina Weibo tweet data streams and study volume correlations and temporal gaps between user searches and tweeting activities on hot topics. In addition, we examine the correlations between hot topic searches on social media and on search engines to understand hot topics and user behaviors across different platforms. Given the challenges of analyzing massive amount of tweet data, we explore Hadoop MapReduce framework to effectively process millions of tweets from the collected data-sets, and quantify the performance benefits of MapReduce on analyzing tweet streams. To the best of our knowledge, this paper is the first effort to characterize temporal search patterns of hot topics on Sina Weibo and to study their correlations with tweeting data streams as well as search engine statistics.

关键词： Media Search engines Correlation Web search Engines TV Real-time systems

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A model contract and model integration language for integrating geography models in distributed environment

A model contract and model integration language for integrat...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xiaolin Wang Hui Li Yingwei Luo The Shenzhen Key Laboratory for Cloud Computing Technology and Applications Shenzhen Graduate School Peking University Guangdong China Peking University Beijing Beijing CN

This paper presents the model contract and the model integration language, which is used for sharing and reusing geography models in a distributed geography modeling environment. The model contract mainly consists of three parts, the model external description information, the model internal structural information and the model execution flow information. Geographer can structure the model contract to invoke shared models and method to simulate the geography phenomenon using the model integration language. The model integration language is a kind of markup language to express the model contract.

关键词： Geography Contracts Computational modeling Data models Engines Abstracts Educational institutions

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