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Design and Implementation of an Adaptive Feedback Queue Algorithm over Open Flow Networks

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China Communications 2018年第7期15卷 168-179页

作者： Jiawei Wu xiuquan qiao Junliang Chen Beijing University of Posts and Telecommunications Beijing 100876China

The concurrent presence of different types of traffic in multimedia applications might aggravate a burden on the underlying data network, which is bound to affect the transmission quality of the specified traffic. Recently, several proposals for fulfilling the quality of service(QoS) guarantees have been presented. However, they can only support coarse-grained QoS with no guarantee of throughput, jitter, delay or loss rate for different applications. To address these more challenging problems, an adaptive scheduling algorithm for Parallel data Processing with Multiple Feedback(PPMF) queues based on software defined networks(SDN) is proposed in this paper, which can guarantee the quality of service of high priority traffic in multimedia applications. PPMF combines the queue bandwidth feedback mechanism to realise the automatic adjustment of the queue bandwidth according to the priority of the packet and network conditions, which can effectively solve the problem of network congestion that has been experienced by some queues for a long time. Experimental results show PPMF significantly outperforms other existing scheduling approaches in achieving 35--80% improvement on average time delay by adjusting the bandwidth adaptively, thus ensuring the transmission quality of the specified traffic and avoiding effectively network congestion.

关键词： multimedia streams software defined networks quality of service priority-based adaptive feedback queues

Context-aware end-to-end QoS diagnosis and guarantee based on Bayesian network

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High Technology Letters 2012年第1期18卷 51-58页

作者： Lin Xiangtao Cheng Bo Chen Junliang qiao xiuquan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876P.R.China

A systematic approach for end-to-end QoS qualitative diagnosis and quantitative guarantee is proposed to support quality of service （QoS） management on current Internet. An automatic unwatched discretization algorithm for discretizing continuous numeric-values is brought forth to reshape these QoS metrics and contexts into their discrete forms. For QoS qualitative diagnosis, causal relationships between a QoS metric and its contexts are exploited with K2 Bayesian network （BN） structure learning by treating QoS metrics and contexts as BN nodes. A QoS metric node is qualitatively diagnosed to be causally related to its parent context nodes. To guarantee QoS quantitatively, those causal relationships are next modeled quantitatively by BN parameter learning. Then, BN inference can be carried out on the BN. Finally, the QoS metric is guaranteed to a specific value with certain probability by tuning its causal contexts to suitable values suggested by the BN inference. Our approach is validated to be sound and effective by simulations on a peer-to-peer （P2P） network.

关键词： context context discretization quality of service (QoS) qualitative diagnosis quantitativeguarantee Bayesian network

Mobile Business Process Personalization for End Users

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China Communications 2015年第12期12卷 1-12页

作者： XUE Sida WU Budan CHENG Bo qiao xiuquan CHEN Junliang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

Many specified business needs in enterprise context cannot be effectively satisfied using current business process *** phenomenon is called the "long tail" of business *** addition,more and more business applications need to be accessed from mobile devices such as smartphones by enterprise end *** paper attempts to solve both two challenges above.A lightweight event-driven process model is proposed aiming at satisfying the spontaneous business needs in *** we design an innovative wizard,which works like a tutorial,guiding end users in creating this lightweight process ***,end users are allowed to interact with the process created by themselves on ***,the usability of our approach was evaluated on a small set of users in a real business *** results show that end users can effectively build their personalized business processes using our approach and interact with them in mobile environment.

关键词： users satisfying lightweight innovative interact created engineer aiming repair scenario

Multi-View Image-Based 3D Reconstruction in Indoor Scenes:A Survey

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ZTE Communications 2024年第3期22卷 91-98页

作者： LU Ping SHI Wenzhe qiao xiuquan State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen 518055China ZTE Corporation Shenzhen 518057China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China

Three-dimensional reconstruction technology plays an important role in indoor scenes by converting objects and structures in indoor environments into accurate 3D models using multi-view RGB *** offers a wide range of applications in fields such as virtual reality,augmented reality,indoor navigation,and game *** methods based on multi-view RGB images have made significant progress in 3D *** image-based reconstruction methods not only possess good expressive power and generalization performance,but also handle complex geometric shapes and textures *** facing challenges such as lighting variations,occlusion,and texture loss in indoor scenes,these challenges can be effectively addressed through deep neural networks,neural implicit surface representations,and other *** technology of indoor 3D reconstruction based on multi-view RGB images has a promising *** not only provides immersive and interactive virtual experiences but also brings convenience and innovation to indoor navigation,interior design,and virtual *** the technology evolves,these image-based reconstruction methods will be further improved to provide higher quality and more accurate solutions to indoor scene reconstruction.

关键词： 3D reconstruction MVS NeRF neural implicit surface

Mobile Web Augmented Reality in 5G and Beyond:Challenges, Opportunities, and Future Directions

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China Communications 2019年第9期16卷 141-154页

作者： xiuquan qiao Pei Ren Guoshun Nan Ling Liu Schahram Dustdar Junliang Chen State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China College of Computing Georgia Institute of TechnologyAtlantaGA 30332USA Distributed Systems Group TU Wien1040 ViennaAustria

The popularity of wearable devices and smartphones has fueled the development of Mobile Augmented Reality(MAR),which provides immersive experiences over the real world using techniques,such as computer vision and deep ***,the hardware-specific MAR is costly and heavy,and the App-based MAR requires an additional download and installation and it also lacks cross-platform *** limitations hamper the pervasive promotion of *** paper argues that mobile Web AR(MWAR)holds the potential to become a practical and pervasive solution that can effectively scale to millions of end-users because MWAR can be developed as a lightweight,cross-platform,and low-cost solution for end-to-end delivery of *** main challenges for making MWAR a reality lie in the low efficiency for dense computing in Web browsers,a large delay for real-time interactions over mobile networks,and the lack of *** good news is that the newly emerging 5G and Beyond 5G(B5G)cellular networks can mitigate these issues to some extent via techniques such as network slicing,device-to-device communication,and mobile edge *** this paper,we first give an overview of the challenges and opportunities of MWAR in the 5G *** we describe our design and development of a generic service-oriented framework(called MWAR5)to provide a scalable,flexible,and easy to deploy MWAR *** evaluate the performance of our MWAR5 system in an actually deployed 5G trial network under the collaborative configurations,which shows encouraging ***,we also share the experiences and insights from our development and deployment,including some exciting future directions of MWAR over 5G and B5G networks.

关键词： 5G edge computing augmentedreality mobile augmented reality Web augmentedreality

A Survey of Applications Research on Content-Centric Networking

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China Communications 2019年第9期16卷 122-140页

作者： xiuquan qiao Hongyi Wang Wei Tan Athanasios V.Vasilakos Junliang Chen MBrian Blake State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China Information Engineering College Henan University of Science and TechnologyLuoyang 471003China IBM T.J.Watson Research Center Yorktown HeightsNY 10598USA The Department of Electrical and Computer Engineering National Technical University of AthensAthens 157 80Greece College of Computing and Informatics Drexel UniversityPhiladelphiaPA 1904USA

As a named data-based clean-slate future Internet architecture,Content-Centric Networking(CCN)uses entirely different protocols and communication patterns from the host-to-host IP *** CCN,communication is wholly driven by the data *** must send Interest packets with the content name and not by the host’s network *** nature of in-network caching,Interest packets aggregation and hop-byhop communication poses unique challenges to provision of Internet applications,where traditional IP network no long works *** paper presents a comprehensive survey of state-of-the-art application research activities related to CCN *** main aims in this survey are(a)to identify the advantages and drawbacks of CCN architectures for application provisioning;(b)to discuss the challenges and opportunities regarding service provisioning in CCN architectures;and(c)to further encourage deeper thinking about design principles for future Internet architectures from the perspective of upper-layer applications.

关键词： Content-centric networking(CCN) named-data networking (NDN) applications information-centric networking future Internet

6G-Enabled Edge AI for Metaverse:Challenges, Methods,and Future Research Directions

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Journal of Communications and Information Networks 2022年第2期7卷 107-121页

作者： Luyi Chang Zhe Zhang Pei Li Shan Xi Wei Guo Yukang Shen Zehui Xiong Jiawen Kang Dusit Niyato xiuquan qiao Yi Wu School of Data Science and Technology Heilongjiang UniversityHarbin 150080China Institute for Cryptology and Network Security Heilongjiang UniversityHarbin 150080China SenseTime Group Limited Shenzhen 518000China Pillar of Information Systems Technology and Design Singapore University of Technology and Design.Singapore 487372Singapore School of Automation.Guangdong University of Technology and Center for Intelligenl Batch Manufacturing based on IoT TechnologyGuangzhou 510006China School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798.Singapore State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications.Beijing 100876China

Sixth generation(6G)enabled edge intelligence opens up a new era of Internet of everything and makes it possible to interconnect people-devices-cloud anytime,*** and more next-generation wireless network smart service applications are changing our way of life and improving our quality of *** the hottest new form of next-generation Internet applications,Metaverse is striving to connect billions of users and create a shared world where virtual and reality ***,limited by resources,computing power,and sensory devices,Metaverse is still far from realizing its full vision of immersion,materialization,and *** this end,this survey aims to realize this vision through the organic integration of 6G-enabled edge artificial intelligence(AI)and ***,we first introduce three new types of edge-Metaverse architectures that use 6G-enabled edge AI to solve resource and computing constraints in *** we summarize technical challenges that these architectures face in Metaverse and the existing ***,we explore how the edge-Metaverse architecture technology helps Metaverse to interact and share digital ***,we discuss future research directions to realize the true vision of Metaverse with 6G-enabled edge AI.

关键词： edge artificial intelligence artificial intelli-gence 6G metaverse federated learning

Exploring Hits-Based Content Provisioning Mechanism in Content-Centric Networking

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China Communications 2014年第7期11卷 24-39页

作者： qiao xiuquan NAN Guoshun GUO Lei DENG Shushan WANG Youfeng CHEN Junliang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876 P. R. China

In-network caching and Interest packets aggregation are two important features of Content-Centric Networking(CCN).CCN routers can directly respond to the Interest request by Content Store(CS)and aggregate the same Interest packets by Pending Interest Table(PIT).In this way,most popular content requests will not reach the origin content ***,content providers will be unaware of the actual usages of their contents in *** new network paradigm presents content providers with unprecedented *** will bring a great impact on existing mature business model of content providers,such as advertising revenue model based on hits *** leverage the advantages of CCN and the realistic business needs of content providers,we explore the hits-based content provisioning mechanism in *** proposed approaches can avoid the unprecedented impact on content providers' existing business model and promote content providers to embrace the real deployment of CCN network.

关键词： future internet content-centricnetworking information-centric networking hits-based content provisioning contentprovider business model content management

Recommending Friends Instantly in Location-based Mobile Social Networks

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China Communications 2014年第2期11卷 109-127页

作者： qiao xiuquan SU Jianchong ZHANG Jinsong XU Wangli WU Budan XUE Sida CHEN Junliang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 P. R.China Center for Applied Statistics School of Statistics Renmin University of China Beijing 100872 E R. China

Differently from the general online social network(OSN),locationbased mobile social network(LMSN),which seamlessly integrates mobile computing and social computing technologies,has unique characteristics of temporal,spatial and social *** friends instantly based on current location of users in the real world has become increasingly popular in ***,the existing friend recommendation methods based on topological structures of a social network or non-topological information such as similar user profiles cannot well address the instant making friends in the real *** this article,we analyze users' check-in behavior in a real LMSN site named *** to this analysis,we present an approach of recommending friends instantly for LMSN users by considering the real-time physical location proximity,offline behavior similarity and friendship network information in the virtual community *** approach effectively bridges the gap between the offline behavior of users in the real world and online friendship network information in the virtual ***,we use the real user check-in dataset of Gowalla to verify the effectiveness of our approach.

关键词： mobile social network service friend recommendation location-basedservice location proximity user behaviorsimilarity singular value decomposition