王尚广

Shangguang Wang

IEEE Senior Member, Associate Professor

sgwang@bupt.edu.cn

sguang.wang@gmail.com

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Personal Information Chinese

  • Introduction

    Shangguang Wang received his PhD degree at Beijing University of Posts and Telecommunications (BUPT) in 2011. He is an associate professor at the State Key Laboratory of Networking and Switching Technology (BUPT). He has published more than 100 papers, and played important roles at many international conferences, program chair of IEEE EDGE 2018, program chair of IEEE ICFEC 2017, general chair of ICCSA 2016, general chair of CollaborateCom 2016, program chair of IOV 2014, and program chair of SC2 2014. He is co-founder of the International Conference on Internet of Vehicles (IOV), and Chair of IEEE TCSVC Young Experts Committee (YESC). He is a senior member of the IEEE, and the Editor-in-Chief of the International Journal of Web Science. His research interests include service computing, cloud computing, edge computing, internet of vehicles, and urban computing.

     

 

 

 

 

 

  • Service Computing
    Cloud Computing
    Edge Computing
    Service Reliability
  • sgwang@bupt.edu.cn
    sguang.wang@gmail.com
  • 010-61198162

Publications

Selected Publications
    1. 1.

      Shangguang Wang*, Ao Zhou, Ruo Bao, Chou Wu, Stephen S. Yau, Towards Green Service Composition Approach in the Cloud, IEEE Transactions on Services Computing, 2018, https://ieeexplore.ieee.org/document/8453852/ .

    2. 2.

      Jinliang Xu, Shangguang Wang*, Ning Zhang, Fangchun Yang, Xuemin Shen, Reward or Penalty: Aligning Incentives of Stakeholders in Crowdsourcing, IEEE Transactions on Mobile Computing, 2018, Doi: 10.1109/TMC.2018.2847350

    3. 3.

      Shangguang Wang, Yan Guo, Yan Li, Ching-Hsien Hsu. Cultural Distance for Service Composition in Cyber-Physical-Social Systems, Future Generation Computer Systems, 2018, https://www.sciencedirect.com/science/article/pii/S0167739X17310816.

    4. 4.

      Shangguang Wang, Yali Zhao, Jinlinag Xu, Jie Yuan, Ching-Hsien Hsu, Edge Server Placement in Mobile Edge Computing, Journal of Parallel and Distributed Computing, 2018, https://www.sciencedirect.com/science/article/pii/S0743731518304398.

    5. 5.

      S. Wang, J. Xu, N. Zhang, Y. Liu, A Survey on Service Migration in Mobile Edge Computing, IEEE Access, vol. 6, no.1,pp. 23511-3528, 2018

    6. 6.

      Shangguang Wang, Qinglin Zhao, Ning Zhang, Tao Lei, Fangchun Yang. Virtual Vehicle Coordination for Vehicles as Ambient Sensing Platforms, IEEE Access, vol. 6, no.1, pp. 11940-11952, 2018.

       
    7. 7.

      Qiliang Zhu, Shangguang Wang*, Bo Cheng, Fangchun Yang, and Rong N.Chang. Context-aware Group Recommendation for Point-of-Interests, IEEE Access, vol. 6, no.1, pp. 12129-12144, 2018.

       
    8. 8.

      Di Lu, Chuntao Ding, Jinliang Xu and Shangguang Wang. Hierarchical Discriminant Analysis, Sensors, 2018, 18(1), 279.

       
    9. 9.

      Muhammad Rizwan Anawar, Shangguang Wang*, Muhammad Azam Zia, Ahmer Khan Jadoon, Umair Akram, and Salman Raza, Fog Computing: An Overview of Big IoT Data Analytics, Wireless Communications and Mobile Computing, vol. 2018, 2018.

       
    10. 10.

      S.Wang, C. Ding, C. Hsu, F. Yang. Dimensionality Reduction via Preserving Local Information. Future Generation Computer Systems, https://www.sciencedirect.com/science/article/pii/S0167739X17319696, 2018

       
    11. 11.

      Ao Zhou, Shangguang Wang, Ching-Hsien Hsu, Myung Ho Kim, Kok-Seng Wong. Network Failure-aware Redundant Virtual Machine Placement in a Cloud Data Center. Concurrency and Computation: Practice and Experience, vol. 29, no.24, pp. 1-12, 2017.

       
    12. 12.

      Jialei Liu, Shangguang Wang*, Ao Zhou, Xiang Xu, Sathish A P Kumar, Fangchun Yang.Towards Bandwidth Guaranteed Virtual Cluster Reallocation in the Cloud. The Computer Journal, 2017

    13. 13.

      Guo, Y., Wang, S.*, Wong, K-S. and Kim, M.H. Skyline service selection approach based on QoS prediction, Int. J. Web and Grid Services, 13(4), 425-447, 2017.

    14. 14.

      Chuntao Ding,Shangguang Wang*. Appropriate Points Choosing for Subspace Learning over Image Classification. Journal of Supercomputing, 2017, to appear.

    15. 15.

      Shangguang Wang, Yali Zhao, Lin Huang, Jinliang Xu, Ching-Hsien Hsu. QoS Prediction for Service Recommendations in Mobile Edge Computing, Journal of Parallel and Distributed Computing, 2017, http://www.sciencedirect.com/science/article/pii/S074373151730268X.

    16. 16.

      Lingyan Zhang, Shangguang Wang*, Raymond K.Wong, Fangchun Yang, and Rong N. Chang. Cognitively Adjusting Imprecise User Preferences for Service Selection. IEEE Transactions on Network and Service Management, no.13, vol. 13, pp. 1-13.

    17. 17.

      Shangguang Wang, Lin Huang, Lei Sun, Ching-Hsien Hsu, Fangchun Yang. Efficient and Reliable Service Selection for Heterogeneous Distributed Software Systems. Future Generation Computer Systems, vol. 74, pp. 158-167, 2017.

    18. 18.

      A. Zhou, S. Wang, Q. Sun, J. Li, Q. Zhao, and F. Yang. Support for spot virtual machine purchasing simulation. Cluster Computing, pp. 1-13, 2017. https://link.springer.com/article/10.1007/s10586-017-0882-8

       
    19. 19.

      T. Lei, S. Wang*, J. Li, and F. Yang. A cooperative route choice approach via virtual vehicle in IoV. Vehicular Communications, 9C (2017) pp. 281-287,2017.

    20. 20.

      Ao Zhou, Shangguang Wang*, Bo Cheng, Zibin Zheng, Fangchun Yang, Rong N. Chang, Michael R. Lyu, Rajkumar Buyya. Cloud Service Reliability Enhancement via Virtual Machine Placement Optimization. IEEE Transactions on Services Computing, no. 6, vol. 10, pp. 902-913, 2017.

    21. 21.

      Fuu-Cheng Jiang, Ching-Hsien Hsu, Shangguang Wang. Logistic Support Architecture with Petri Net Design in Cloud Environment for Services and Profit Optimization. IEEE Transaction on Services Computing, no.6, vol.10, pp. 879-888, 2017.

    22. 22.

      Ling Huang, Qinglin Zhao, Yan Li, Shangguang Wang*, Lei Sun, and Wu Chou. Reliable and Efficient Big Service Selection. Information Systems Frontiers. DOI: 10.1007/s10796-017-9767-x.

    23. 23.

      Jialei Liu, Shangguang Wang*, Ao Zhou, Fangchun Yang, Rajkumar Buyya. Availability-aware Virtual Cluster Allocation in Bandwidth-Constrained Datacenters. IEEE Transactions on Services Computing, 2017, DOI: 10.1109/TSC.2017.2694838. http://ieeexplore.ieee.org/document/7902234/

    24. 24.

      S. Wang, A. Zhou, M. Yang, L. Sun, C. Hsu, F. Yang. Service Composition in Cyber-Physical-Social Systems. IEEE Transactions on Emerging Topics in Computing,2017,

    25. 25.

      Zhou A, Wang S, Hsu C-H, Kim MH, Wong K-S. Virtual machine placement with (m, n)-fault tolerance in cloud data center. Cluster Computing, 2017. 10.1007/s10586-017-1426-y.

    26. 26.

      Shangguang Wang*, Ao Zhou, Fangchun Yang, Rong Chang. Towards Network-Aware Service Composition in the Cloud. IEEE Transactions on Cloud Computing, 2016,http://dx.doi.org/10.1109/TCC.2016.2603504

    27. 27.

      Jialei Liu, Shangguang Wang*, Ao Zhou, Sathish A.P Kumar, Fangchun Yang, and Rajkumar Buyya. Using Proactive Fault-Tolerance Approach to Enhance Cloud Service Reliability. IEEE Transactions on Cloud Computing, 2016,PP(99):1-1. http://dx.doi.org/10.1109/TCC.2016.2567392

    28. 28.

      Shangguang Wang,You Ma, Bo Cheng, Fangchun Yang, Rong N. Chang. Multi-Dimensional QoS Prediction for Service Recommendations.IEEE Transaction on Services Computing, 2016, http://dx.doi.org/10.1109/TSC.2016.2584058.

    29. 29.

      A. Zhou, S. Wang*, Z. Zheng, C. Hsu, M. Lyu, and F. Yang, On Cloud Service Reliability Enhancement with Optimal Resource Usage. IEEE Transactions on Cloud Computing, 2016, no. 4, vol. 4, pp. 452-466. DOI: 10.1109/tcc.2014.2369421.

    30. 30.

      S. Wang, A. Zhou, C. Hsu, X. Xiao, F. Yang. Provision of Data-intensive Services through Energy- and QoS-aware Virtual Machine Placement in National Cloud Data centers. IEEE Transactions on Emerging Topics in Computing, no. 2, vol. 4, pp. 290-300, 2016.

    31. 31.

      S. Wang, A. Zhou, W. Lei, Z. Yu, C.-H. Hsu, and F. Yang. Enhanced User Context-aware Reputation Measurement of Multimedia Service. ACM Transactions on Multimedia Computing, Communications and Applications, no.4s, vo. 12, pp. 1-18, 2016.

    32. 32.

      Bo Cheng, Shuai Zhao, Shangguang Wang, Junliang Chen. Lightweight Mashup Middleware for Coal Mine Safety Monitoring and Control Automation. IEEE Transactions on Automation Science and Engineering, 99, vol. PP, pp. 1-11, 2016.

    33. 33.

      Ma Y, Wang S*, Hung PCK, Hsu C-H, Sun Q, Yang F. A Highly Accurate Prediction Algorithm for Unknown Web Service QoS Value. IEEE Transactions on Services Computing, no. 4, vol. 9, pp. 511-523, 2016. DOI: 10.1109/TSC.2015.2407877.

    34. 34.

      S. Wang, C. Fan, C. H. Hsu, Q. Sun, and F. Yang, "A Vertical Handoff Method via Self-Selection Decision Tree for Internet of Vehicles," IEEE Systems Journal, no. 3, vol. 10, pp. 1183-1192, 2016. DOI: 10.1109/jsyst.2014.2306210.

    35. 35.

      Tao Lei, Shangguang Wang*, Jinglin Li, Fangchun Yang. AOM: Adaptive Mobile Data Traffic Offloading for M2M Networks. Personal and Ubiquitous Computing, vol. 20, no. 6, pp.863-873, 2016. DOI:10.1007/s00779-016-0962-4.

    36. 36.

      C. H. Hsu, S. G. Wang, D. Q. Zhang, H. C. Chu, and N. Lu, "Efficient identity authentication and encryption technique for high throughput RFID system," Security and Communication Networks, 15, vol. 9, pp. 2581-2591, 2016.

       
    37. 37.

      Jie Wei, Shangguang Wang and Fangchun Yang. CMIP: Data Transmission Latency Optimization for Cooperative Group in Multi-Cloud by Adaptive Routing, IEEE ICPADS 2017, to appear.

    38. 38.

      Wang S, Huang L, Hsu C-H, Yang F. Collaboration reputation for trustworthy Web service selection in social networks. Journal of Computer and System Sciences, no.1, vol. 82, pp.130-143, 2016

    39. 39.

      Ao Zhou, Shangguang Wang*, Jinglin Li,Qibo Sun,Fangchun Yang. Optimal mobile device selection for mobile cloud service providing. Journal of Supercomputing, no. 8, vol, 72, pp. 3222-3235, 2016.

    40. 40.

      Qibo Sun, Lubao Wang, Shangguang Wang, You Ma, Ching-Hsien Hsu.QoS Prediction for Web Service in Mobile Internet Environment. New Review of Hypermedia and Multimedia, no. 3, vol. 22, pp. 207-222, 2016.

    41. 41.

      Q. B. Sun, S. G. Wang*, N. Lug, K. S. Wong, and M. H. Kim, "SFADS: A SIP Flooding Attack Detection Scheme with the Internal and External Detection Features in IMS Networks," Journal of Internet Technology, 7, vol. 17, pp. 1327-1338, Dec 2016.

    42. 42.

      A. Zhou, S. Wang, C.-H. Hsu, Q. Sun, and F. Yang, "Task rescheduling optimization to minimize network resource consumption," Multimedia Tools and Applications, no. 20, vol. 75, pp. 12901-12917, 2016. DOI: 10.1007/s11042-015-2549-x

    43. 43.

      Qiliang Zhu, Shangguang Wang* , Qibo Sun, Ching-Hsien Hsu, Fangchun Yang.Service Classification Based on Improved BP Neural Network. Journal of Internet Technology, Accept, 2016.

    44. 44.

      Shangguang Wang, Tao Lei, Lingyan Zhang, Ching-Hsien Hsu, Fangchun Yang.Offloading Mobile Data Traffic for QoS-aware Service Provision in Vehicular Cyber-Physical Systems. Future Generation Computer Systems, vol. 61, pp. 118-127, 2016

    45. 45.

      Jie Wei, Shangguang Wang*,Lingyan Zhang,Ao Zhou,Qibo Sun and Fangchun Yang. Virtual Machine Placement to Minimize Data Transmission Latency in MapReduce. Journal of Internet Technology, Accept, 2015.

    46. 46.

      You M, Xin X, Shangguang W, Jinglin L, Qibo S, Fangchun Y. QoS evaluation for web service recommendation. China Communications,2015,12(4):151-160. Doi: 10.1109/cc.2015.7114061.

       
    47. 47.

      Wang S, Zheng Z, Wu Z, Lyu M, Yang F. Reputation Measurement and Malicious Feedback Rating Prevention in Web Service Recommendation System. IEEE Transactions on Services Computing, no. 5, vol. 8, pp. 755 - 767, 2015. DOI: 10.1109/TSC.2014.2320262

    48. 48.

      Lin Huang, Shangguang Wang, Ching-Hsien Hsu, Juanjuan Zhang, Fangchun Yang. Using reputation measurement to defend mobile social networks against malicious feedback ratings. Journal of Supercomputing 71(6):2190-2203 (2015). DOI:10.1007/s11227-015-1432-x

    49. 49.

      Cheng B, Yang J, Wang S, Chen J. Adaptive Video Transmission Control System Based on Reinforcement Learning Approach Over Heterogeneous Networks. IEEE Transactions on Automation Science and Engineering, no. 3, vol. 12, pp. 1104 - 1113, 2015. DOI: 10.1109/tase.2014.2387212.

       
    50. 50.

      Shangguang Wang, Lei Sun, Qibo Sun, Jie Wei, Fangchun Yang. Reputation Measurement of Cloud Services based on Unstable Feedback Ratings. International Journal of Web and Grid Services. Vol. 11, No. 4, pp. 362-376, 2015. DOI: 10.1504/IJWGS.2015.072805

    51. 51.

      Youqi Chen, Qibo Sun, Ao Zhou, Shangguang Wang "WebCloudSim: an Open Online Cloud Computing Simulation Tool for Algorithm Comparision", Services Transactions on Cloud Computing (STCC), 3(2), 2015, pp. 26-32.

       
    52. 52.

      Ao Zhou, Shangguang Wang*, Chenchen Yang, Lei Sun, Qibo Sun, Fangchun Yang. FTCloudSim: Support for Cloud Service Reliability Enhancement Simulation. International Journal of Web and Grid Services. vol. 11, no. 4, pp. 347-361,2015.

    53. 53.

      S. Wang, L. Sun, Q. Sun, J. Li, and F. Yang, "Efficient Service Selection in Mobile Information Systems," Mobile Information Systems, Volume 10 (2014), Issue 2, Pages 197-215. DOI:10.1155/2015/949436

    54. 54.

      F. Yang, S. Wang, J. Li, Z. Liu, and Q. Sun, "An overview of Internet of Vehicles," China Communications, no. 10, vol. 11, pp. 1-15, 2014.

    55. 55.

      Shangguang Wang, Zibin Zheng,Zhengping Wu, Fangchun Yang. Context-aware Mobile Service Adaptation via a Co-evolution eXtended Classifier System in Mobile Network Environments. Mobile Information Systems, 2014, Vol.10, No. 2, p.197-215.DOI: 10.3233/MIS-130178

    56. 56.

      Shangguang Wang,Ching-Hsien Hsu,Zhongjun Liang,Qibo Sun,Fangchun Yang. Multi-user web service selection based on multi-QoS prediction. Information Systems Frontiers,Volume 16, Issue 1 (2014), Page 143-152 DOI:10.1007/s10796-013-9455-4

    57. 57.

      Shangguang Wang, Qibo Sun, Hua Zou, Fangchun Yang. Towards an Accurate Evaluation of Quality of Cloud Service in Service-oriented Cloud Computing. Journal of Intelligent Manufacturing, 2014, Vol.25, No.2, Page 283-291.

    58. 58.

      Zhipiao Liu, Shangguang Wang*, Qibo Sun, Hua Zou, Fangchun Yang.Cost-Aware Cloud Service Request Scheduling for SaaS Providers. The Computer Journal, 2014,57(2):291-301. DOI: 10.1093/comjnl/bxt009

    59. 59.

      Shangguang Wang, Xilu Zhu, Fangchun Yang. Efficient QoS Management for QoS-aware Web Service Composition. International Journal of Web and Grid Services 2014,10(1):1-23.

    60. 60.

      Shangguang Wang,Cunqun Fan,Cao Deng,Wenzhe Gu,Qibo Sun,Fangchun Yang. A-GR: A Novel Geographical Routing Protocol for AANETs. Journal of Systems Architecture, 2013, Volume 59, Issue 10, Part B, Pages 931¨C937.

       
    61. 61.

      Shangguang Wang,Xilu Zhu,Qibo Sun,Hua Zou,Fangchun Yang. Low-Cost Web Service Discovery Based on Distributed Decision Tree in P2P Environments. Wireless Personal Communications,2013,Volume 73,Issue 4,pp 1477-1493.

       
    62. 62.

      Shangguang Wang, Qibo Sun, Hua Zou, Fangchun Yang. Particle Swarm Optimization with Skyline Operator for Fast Cloud-based Web Service Composition. Mobile Networks and Applications,2013,Vol.18,No.1,pp.116-121.

    63. 63.

      Shangguang Wang, WeiSu,Xilu Zhu, and Hongke Zhang. A Hadoop-based Approach for Efficient Web Service Management. International Journal of Web and Grid Services, 2013,Vol.9,No.1,pp.18 - 34.

    64. 64.

      Shangguang Wang, Yan Gong, Guangxiao Chen, Qibo Sun and Fangchun Yang.Service Vulnerability Scanning based on Service-oriented Architecture in Web Service. Journal of Systems Architecture,59 (2013), pp. 731-739.

       
    65. 65.

      S. Wang, Z. Liu, Q. Sun, H. Zou and F. Yang. Pruning Redundant Services for Fast Service Selection. International Journal of Computational Methods, 2013,Vol.10,No.6,pages 47-66.

       
    66. 66.

      Wang S, Sun Q, Yang F. Quality of service measure approach of web service for service selection. IET Software, 2012,Vol.6,No.2,pp.148-154.

       
    67. 67.

      Shangguang Wang, Qibo Sun, Hua Zou, Fangchun Yan. Detecting SYN flooding attacks based on traffic prediction. Security and Communication Network, 2012,Vol.5,No.10,pp.1131-1140. I

       
    68. 68.

      Shangguang Wang, Hua Zou, Qibo Sun, Fangchun Yan. Bayesian Approach with Maximum Entropy Principle for Trusted Quality of Web Service Metric in E-commerce Application. Security and Communication Network, 2012,Vol.5,No.10,pp.1112-1120.

    69. 69.

      Wang S, Sun Q, Zou H, Yang F. Reputation measure approach of web service for service selection.IET Software,2011,Vol.5,No.5,pp.466-473.

       
    70. 70.

      Wang SG, Zheng ZB, Sun QB, Zou H, Yang FC. Reliable web service selection via QoS uncertainty computing. International Journal of Web and Grid Services,2011,Vol.7,No.4,pp.410-426.

    71. 71.

      Wang SG, Sun QB, Zou H, Yang FC. Web Service Selection Based on Adaptive Decomposition of Global QoS Constraints in Ubiquitous Environment. Journal of Internet Technology,2011,Vol.12,No.5.pp.757-768.

       
    72. 72.

      Sun QB, Wang SG*, Zou H, Yang FC. QSSA: A QoS-aware Service Selection Approach. International Journal of Web and Grid Services,2011,Vol.7,No.2,pp.147-169.

       
    73. 73.

      Wang SG, Sun QB, Yang FC. Towards Web Service selection based on QoS estimation. International Journal of Web and Grid Services, 2010,Vol.6,No.4,pp.424-443.

    1. 1.

      Lingyan Zhang, Shangguang Wang, Rong N.Chang. QCSS: A QoE-aware Control Plane for Adaptive Streaming Service over Mobile Edge Computing Infrastructures, In Proceedings of the IEEE International Conference on Web Services (ICWS 2018), 2018, pp. 1-8, to appear.

       
    2. 2.

      Qiliang Zhu, Ao Zhou, Qibo Sun, Shangguang Wang, Fangchun Yang. FMSR: a Fairness-aware Mobile Service Recommendation Method, In Proceedings of the IEEE International Conference on Web Services (ICWS 2018), 2018, pp. 1-8, to appear.

       
    3. 3.

      Yuanzhe Li, Shangguang Wang. An energy-aware Edge Server Placement Algorithm in Mobile Edge Computing. Proceedings of the IEEE International Conference on Edge Computing (EDGE 2018),2018, pp.1-8, to appear.

       
    4. 4.

      Jie Wei, Shangguang Wang and Fangchun Yang. CMIP: Data Transmission Latency Optimization for Cooperative Group in Multi-Cloud by Adaptive Routing, IEEE ICPADS 2017, to appear.

       
    5. 5.

      Lingyan Zhang,Shangguang Wang,Fangchun Yang,Rong Chang.QoEcenter: A Visualized Platform For QoE Evaluation Of Streaming Video Services, IEEE ICWS 2017, research track, pp. 212 - 219, 2017.

       
    6. 6.

      Xiaojuan Wei, Shangguang Wang, Ao Zhou, Jinliang Xu,Sen Su,Sathish Kumar,Fangchun Yang.MVR: An Architecture For Computation Offloading In Mobile Edge Computing,The 1st IEEE International Conference on Edge Computing,short paper, 2017,to appear.

       
    7. 7.

      Yali Zhao,Shangguang Wang.The Service Recommendation Problem: An overview of traditional and recent approaches. 12th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, 2016

    8. 8.

      Guoyu Yang, Qibo Sun, Ao Zhou, Shangguang Wang, Jinglin Li. Poster Abstract: Access Point Ranking for Cloudlet Placement in Edge Computing Environment. The First IEEE/ACM Symposium on Edge Computing (SEC 2016), poster paper, 2016

    9. 9.

      Yujiong Liu, Shangguang Wang, Fangchun Yang. Poster Abstract: A Multi-User Computation Offloading Algorithm based on Game Theory in Mobile Cloud Computing. The First IEEE/ACM Symposium on Edge Computing (SEC 2016), poster paper, 2016

    10. 10.

      Yali Zhao, Shangguang Wang, Lubao Wang. Poster Abstract: API QoS Prediction for Apps in Cellular Networks. The First IEEE/ACM Symposium on Edge Computing (SEC 2016), poster paper, 2016

    11. 11.

      Yan Guo, Shangguang Wang. Skyline Service Selection based on QoS Prediction.IEEE Cluster, poster paper, 2016

    12. 12.

      Jinliang Xu, Shangguang Wang, Ao Zhou, Fangchun Yang. Machine Status Prediction for Dynamic and Heterogenous Cloud Environment. IEEE Cluster, poster paper, 2016

    13. 13.

      Xu J, Wang S, Su S, Kumar SAP, Wu C. Latent Interest and Topic Mining on User-Item Bipartite Networks. 2016 IEEE International Conference on Services Computing (SCC). 2016. p. 778-781. doi: 10.1109/scc.2016.105.

       
    14. 14.

      Jiang Z, Zhou A, Wang S, Sun Q, Lin R, Yang F. Personalized Service Recommendation for Collaborative Tagging Systems with Social Relations and Temporal Influences. 2016 IEEE International Conference on Services Computing (SCC 2016). 2016. p. 786-789. doi: 10.1109/scc.2016.107., short papers, 2016

    15. 15.

      Zhang L, Sun Q, Wang S, Su S, Yang F. Towards Video Quality of Experience and Selective Attention: A Subtitle-Based Measurement Study. 2016 IEEE International Conference on Services Computing (SCC 2016). 2016. p. 872-875. doi: 10.1109/scc.2016.127, short papers, 2016

    16. 16.

      Xiaochi Wei, Heyan Huang, Chin-Yew Lin, XinXin,Xianling Mao,Shangguang Wang. Re-Ranking Voting-Based Answers by Discarding User Behavior Biases. Proceeding of the 24th International Conference on Artificial Intelligence (IJCAI), pages 2380-2386, main track paper, 2015

       
    17. 17.

      Ma Y, Wang S, Yang F, Chang RN. Predicting QoS Values via Multi-dimensional QoS Data for Web Service Recommendations. 2015 IEEE International Conference on Web Services (ICWS 2015), 2015. p. 249-256.

       
    18. 18.

      Jinglin Li, Chenchen Yang, Shangguang Wang, "An Online Cloud Data Center Simulation System," Proc. IEEE/ACM 23th International Symposium on Quality of? Service (IWQoS 2015), Demo paper, 2015

    19. 19.

      J.Liu,S. Wang,A. Zhou, and F. Yang, "PFT-CCKP: a Proactive Fault Tolerance Mechanism for Data Center Network," Proc. IEEE/ACM 23th International Symposium on Quality of Service (IWQoS 2015), Demo paper, 2015

    20. 20.

      Wang Lubao, Sun Qibo, Wang Shangguang, You Ma, Jinliang Xu, Jinglin Li. Web Service QoS Prediction Approach in Mobile Internet Environments. IEEE International Conference on Data Mining (ICDM 2014), Demo paper, 2014: 1239-1241.

    21. 21.

      L. Wei, S. Qibo, and W. Shangguang, "Context-Based Web Service Reputation Measurement," IEEE 17th International Conference on Computational Science and Engineering (CSE 2014), 2014, pp. 1489-1496.

       
    22. 22.

      L. Sun, S. Wang, J. Li, Q. Sun, and F. Yang, "QoS Uncertainty Filtering for Fast and Reliable Web Service Selection," 2014 IEEE International Conference on Web Services (ICWS 2014), 2014, pp. 550-557.

    23. 23.

      J. Zhang, J. Li, S. Wang, and J. Bian, "A Neural Network Based Schema Matching Method for Web Service Matching," IEEE International Conference on Services Computing (SCC 2014), 2014, pp. 448-455.

       
    24. 24.

      Z. Junming, L. Jinglin, W. Shangguang, L. Zhihan, Y. Quan, and Y. Fangchun, "On Retrieving Moving Objects Gathering Patterns from Trajectory Data via Spatio-temporal Graph," 2014 IEEE International Congress on Big Data (BigData Congress 2014 ), 2014, pp. 390-397. (Invitation for Publication in JWSR)

       
    25. 25.

      W. Shangguang, L. Zhipiao, Z. Zibin, S. Qibo, and Y. Fangchun, "Particle Swarm Optimization for Energy-Aware Virtual Machine Placement Optimization in Virtualized Data Centers," 2013 International Conference on Parallel and Distributed Systems (ICPADS), 2013, pp. 102-109.

    26. 26.

      Z. Ao, W. Shangguang, S. Qibo, Z. Hua, and Y. Fangchun, "Dynamic Virtual Resource Renting Method for Maximizing the Profits of a Cloud Service Provider in a Dynamic Pricing Model," 2013 International Conference on Parallel and Distributed Systems (ICPADS), 2013, pp. 118-125.

       
    27. 27.

      W. Shangguang, W. Jie, S. Lei, S. Qibo, and Y. Fangchun, "Reputation Measurement of Cloud Services Based on Unstable Feedback Ratings," 2013 International Conference on Parallel and Distributed Systems (ICPADS),2013, pp. 474-479. (invited to IJWGS publication)

       
    28. 28.

      Ma Y, Wang S, Sun Q, Zou H, Yang F. Predicting unknown QoS value with QoS-Prophet. Proceedings of ACM/IFIP/USENIX International Middleware Conference£¬ Demo & Poster Track, 2013. p. 1-2.doi: 10.1145/2541614.2541629

    29. 29.

      Zhou A, Wang S, Sun Q, Zou H, Yang F. FTCloudSim: a simulation tool for cloud service reliability enhancement mechanisms. Proceedings of ACM/IFIP/USENIX International Middleware Conference£¬ Demo & Poster Track, 2013. p. 1-2.doi: 10.1145/2541614.2541616.

    30. 30.

      Cunqun Fan, Shangguang Wang*, Qibo Sun, Hua Zou, Fangchun Yang. A Trust Evaluation Method Based on Energy Monitoring for Wireless Sensor Networks. IEEE INFOCOM, Students poster, 2013.

       
    31. 31.

      You Ma,Shangguang Wang,Qibo Sun,Hua Zou,Fangchun Yang.Web Services QoS Measure based on Subjective and Objective Weight.IEEE 10th International Conference on Services Computing (SCC 2013), June 27-July 2, 2013, Santa Clara Marriott, CA,USA.

       
    32. 32.

      Wang S, Zheng Z, Sun Q, Zou H, Yang F. Evaluating feedback ratings for measuring reputation of web services. The IEEE 8th International Conference on Service Computing (SCC'11), July 5-10,2011,Washington DC,USA, 2011, pp. 192-199.

       
    33. 33.

      Shangguang W, Zheng Z, Qibo S, Hua Z, Fangchun Y. Cloud model for service selection. IEEE INFOCOM 2011Workshop on Cloud Computing, April 15 2011, Shanghai, China, 2011, p. 666-671.

[2016]
    1. 张俊娜, 王尚广, 孙其博, 杨放春.《融合网络环境下快速可靠的服务组合容错方法∗》软件学报,2016,

[2014]
    1. 马友,王尚广,孙其博,杨放春.《一种综合考虑主客观权重的Web服务QoS度量算法》软件学报,2014,25(11):2473-24853.

       
[2013]
    1. 范存群,王尚广,孙其博,邹华,杨放春.《基于认知自选择决策树的垂直切换方法研究》通信学报,2013, 34(11):71-80.

       
    2. 范存群,王尚广,孙其博,邹华,杨放春.《车联网中基于贝叶斯决策的垂直切换方法研究》通信学报,2013,(7):34-41.

       
    3. 范存群,王尚广,孙其博,王红熳,张光卫,杨放春.《基于能量监测的传感器信任评估方法研究》电子学报,2013,41(4):646-651

       
[2012]
    1. 王尚广,孙其博,张光卫,杨放春.《基于云模型的不确定性QoS感知的Skyline服务选择》软件学报,2012,23(6):1397-1412.

       
    2. 王尚广,孙其博,杨放春.《Web服务选择中信誉度评估方法》软件学报,2012,23(6):1350-1367.

       
[2011]
    1. 王尚广,孙其博,杨放春.《基于全局QoS约束分解的Web服务动态选择》软件学报,2011,22(7):1426-1439.

       
    2. 王尚广,孙其博,杨放春.《IMS网络中的SIP洪泛攻击检测》软件学报,2011,22(4):761-772.

       
  • Wang, Shangguang, Zhou, Ao (Eds.), Collaborate Computing: Networking, Applications and Worksharing, 2017, Springer International Publishing, eBook ISBN 978-3-319-59288-6, http://www.springer.com/gp/book/9783319592879

     
  • Qiang Duan,Shangguang Wang (Eds.), Network as a Service for Next Generation Internet. IET Publisher, Stevenage, United Kingdom, 2017, ISBN: 978-1-78561-176-6. http://www.theiet.org/resources/books/telecom/Naas.cfm

     
  • Lingyan Zhang, Mingzhe Yang, Yan Guo and Shangguang Wang, "Service selection and recommendation in integrated network environment", Book Chapter, IET Publisher, Stevenage, United Kingdom, 2017, ISBN: 978-1-78561-176-6. http://www.theiet.org/resources/books/telecom/Naas.cfm

  • Ching-Hsien Hsu, Xia Feng, Xingang Liu and Shangguang Wang (Eds.), Internet of Vehicles: Safe and Intelligent Mobility , 2015, Springer International Publishing, eBook ISBN: 978-3-319-27293-1. http://www.springer.com/in/book/9783319272924

     
  • Hsu, Robert C.-H., Shangguang, Wang (Eds.), Internet of Vehicles -- Technologies and Services, 2014, Springer International Publishing, eBook ISBN: 978-3-319-11167-4. http://www.springer.com/us/book/9783319111667.

     

Funding & Project


The Architecture and Software Definition Approach of Cloud Computing for Human-Machine-Thing Intergration
  • National Key R&D Program of China

  • May 2018-April 2021

  • 1000,000RMB

Supported by National Key R&D Program of China (Grant No.2018YFB1004800). May 2018-April 2021. 1000,000RMB

   
PI,Research on Service Selection Mechanism in Integrated Network Environment
  • National Natural Science Foundation of China

  • Jan 2015-Dec 2018

  • 660,000RMB

Supported by the National Natural Science Foundation of China (Grant No. 61472047). Jan 2015-Dec 2018. 660,000RMB

   
PI,Web Service QoS Measurement Approach based on Multiple Data Sources
  • National Natural Science Foundation of China

  • Jan 2013-Dec 2015

  • 250,000RMB

Supported by the National Natural Science Foundation of China (Grant No. 61202435). Jan 2013-Dec 2015. 250,000RMB

   
PI,Low Cost and High Reliable Cloud Service Virtual Resource Provision Mechanism
  • National Natural Science Foundation of China

  • Jan 2013-Dec 2016

  • 850,000RMB

Supported by the National Natural Science Foundation of China (Grant No. 61272521). Jan 2013-Dec 2016. 850,000RMB

   
PI,Fast and Adaptive Service Selection Approach in Integration Network Environments
  • Beijing Municipal Natural Science Foundation

  • Jan 2013-Dec 2015

  • 140,000RMB

Supported by Beijing Municipal Natural Science Foundation (No.4132048). Jan 2013-Dec 2015.140,000RMB

   
Co-PI, An QoS-enhanced intelligent cloud service scheduling method
  • Specialized Research Fund for the Doctoral Program of Higher Education

  • Jan 2012-Dec 2015

  • 400,000RMB

Supported by the Specialized Research Fund for the Doctoral Program of Higher Education(No.20110005130001). Jan 2012-Dec 2015. 400,000RMB

   
PI,A Reliability-enhanced Performance Evaluation Approach for Cloud Service
  • China Postdoctoral Science Foundation

  • Dec 2011-Apr 2013

  • 30,000RMB

Supported by China Postdoctoral Science Foundation (No. 2011M500226) Dec 2011-Apr 2013. 30,000RMB

   
PI,Service Selection Mechanism with Different User Decision
  • Chinese Ministry of Education

  • June 2013-June 2016

  • 1,000,000RMB

Supported by Chinese Ministry of Education. June 2013-June 2016. 1,000,000RMB

   

With the development and explosion of streaming video services, videos are increasing finding their way into the day-to-day lives of people. The ever-increasing demand for providing high QoE of streaming videos motivates research on QoE modeling for video services......

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Activities

    1. International Journal of Web Science ( IJWS )

      - Inderscience Publishers
    1. General Chair, ( CollaborateCom 2016 )

      November 12-13, 2016
      Beijing, People's Republic of China

       

    2.  

      General Chair, ( ICCSA 2016 )

      July 4-July 7, 2016
      Beijign, China

       

    1. TPC Co-Chair, ( IEEE EDGE 2018 )

      July 2-7, 2018
      San Francisco, CA, USA

       

    2.  

      TPC Co-Chair, ( IEEE ICFEC 2017 )

      May 14-17, 2017
      Madrid, Spain

       

    3.  

      TPC Chair, ( IOV 2014 )

      Sept.1-3, 2014
      Beijign, China

       

    4.  

      TPC Chair, ( ICCSA 2016 )

      Sept.1-3, 2014
      Beijign, China

       

    1. Workshop Organizers, ( FUSION 2017 )

      August 4~8, 2017
      San Francisco, CA, USA

       

    2.  

      Applications Track Chair, ( IEEE SERVICES 2017 )

      2017
      Honolulu, Hawaii, USA

       

    3.  

      Pulicity Chair, ( IEEE ICAC 2017 )

      2017
      Columbus, Ohio, USA

       

    4.  

      Pulicity Chair, ( ACM IMCOM 2017 )

      January 5~7, 2017
      Beppu, Japan

       

    5.  

      Workshop Chair, ( UCC 2016 )

      December 6-9, 2016
      Shanghai, China

       

    6.  

      Short Paper Track Chair, ( IEEE MS 2016 )

      June 27 - July 2, 2016
      San Francisco, USA

       

    7.  

      President, ( Services Society )

      2015-2016
      China

       

    8.  

      Applications Track Chair, ( IEEE SCC 2015 )

      June 27-July 2, 2015
      New York, USA

       

    9.  

      Track Chair, ( IEEE CBDCom 2015 )

      10-14 August
      Beijing, China

       

    10.  

      Local Organization Chair, ( IEEE ATC 2015 )

      10-14 August
      Beijing, China

       

    11.  

      Vice-President, ( Services Society )

      2014-2015
      China

       

    12.  

      Special Tracks Chair, ( APSCC 2014 )

      December 4, 2014
      Fuzhou, China

       

    1. International Journal of Web and Grid Services ( IJWGS )SCIE index, Inderscience Publishers

      2014-

       

    2.  

      ( China Communications )SCIE index, IEEE Publishers

      2016-

       

    3.  

      International Journal of Services Computing ( IJSC )

      2014-

       

    4.  

      International Journal of Big Data Intelligence ( IJDBI )

      2015-

       

    5.  

      International Journal of Business Process Integration and Management ( IJBPIM )

      2015-

       

    1. IEEE International Congress on Big Data

      BigData Congress 2018

       

    2.  

      IEEE International Conference on Web Services

      ICWS 2018

       

    3.  

      IEEE International Conference on Services Computing

      SCC 2018

       

    4.  

      IEEE International Conference on Edge Computing

      EDGE 2018

       

    5.  

      IEEE International Conference on Fog and Edge Computinging

      ICFE 2018

       

    6.  

      IEEE International Congress on Big Data

      BigData Congress 2017

       

    7.  

      IEEE International Conference on Services Computing

      SCC 2017

       

    8.  

      IEEE/ACM International Conference on Utility and Cloud Computing

      UCC 2016

       

    9.  

      IEEE International Conference on Future Internet of Things and Cloud

      FiCloud 2016

       

    10.  

      EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing

      CollaborateCom 2016

       

    11.  

      IEEE International Conference on Ubiquitous Intelligence and Computing

      (UIC 2015) , UIC 2016

       

    12.  

      IEEE International Conference on Cloud and Big Data Computing

      CBDCom 2015

       

    13.  

      11th International Conference on Innovations in Information Technology

      IIT 2015

       

    14.  

      IEEE International Conferences on Computational Science and Engineering

      (CSE 2014) , CSE 2015,CSE 2016

       

    15.  

      International Conference on Internet of Vehicles

      (IOV 2014), IOV 2015, IOV 2016

       

    16.  

      IEEE International Conference on Services Computing

      (SCC 2014) , SCC 2015, SCC 2016

       

    17.  

      IEEE International Congress on Big Data

      (BigData Congress 2014) , BigData Congress 2016

       

    18.  

      International Conference on Asia-Pacific Services Computing

      (APSCC 2014), APSCC 2 015, APSCC 2016

       

    19.  

      IEEE International Conference on Cloud Computing Technology and Science

      CloudCom 2013

       

    1. The outstanding doctoral dissertation by Beijing University of Posts and Telecommunications in 2012

       

    2.  

      The outstanding doctoral dissertation candidate by Chinese Association of Artificial Intelligence in 2012

       


Team


  • Zhipiao Liu

    Ph.D.Students
      Graduation: 2010.9-2013.7
      Research Interests: Cloud computing
     Job: CAST

  • Cunqun Fan

    Ph.D.Students
      Graduation: 2011.9-2014.7
      Research Interests: Internet of Vehicles
     Job: CMA
      E-mail:fancunqun@sina.com
  • You Ma

    Ph.D.Students
      Graduation: 2012.9-Now
      Research Interests: Service computing
     Job: CMA
      E-mail:mayou0531@126.com
  • Ao Zhou

    Ph.D.Students
      Graduation: 2012.9-Now
      Research Interests: Cloud computing
     Job: BUPT
      E-mail:hellozhouao@gmail.com
  • Jie Wei

    Ph.D.Students
      Graduation: 2013.9-Now
      Research Interests: Cloud computing
      E-mail: weijiemail2012@163.com

  • Tao Lei

    Ph.D.Students
      Graduation: 2013.9-Now
      Research Interests: Service Multi-agent system
      E-mail: leitao8611@sina.com

  • Lingyan Zhang

    Ph.D.Students
      Graduation: 2014.9-Now
      Research Interests: QoE
      E-mail: zhanglingyan@bupt.edu.cn

  • Qiliang Zhu

    Ph.D.Students
      Graduation: 2014.9-Now
      Research Mobile Service Recommendation
      E-mail: qiliang@bupt.edu.cn

  • Jialei Liu

    Ph.D.Students
      Graduation: 2014.9-Now
      Research Interests: Reliable cloud servcies
      E-mail: liujialei@bupt.edu.cn

  • Jinliang Xu

    Ph.D.Students
      Graduation: 2015.9-Now
      Research Interests: Mobile Cloud Computing
      E-mail: jlxu@bupt.edu.cn

News

  • All
  • 2017
  • 2016
  • 2015
Visual Infography
12 Jun.,2017 Dr. Yunxin Liu of Microsoft
Research Asia visisted my lab
Visual Infography
13 May.,2017 Prof. Yun Yang of Swinburne
University of Technology visit my lab
Visual Infography
16-20 Nov, 2016 Prof. MYUNG HO KIM and Prof.
KOK-SENG WONG of Soongsil
University, South Korea visit my lab
Visual Infography
12 Nov.,2016 Prof. Stephen S. Yau of
Arizona State University visit my lab
Visual Infography
20 April.,2016 Prof.Rajkumar Buyya of University
of Melbourne visited my lab
Visual Infography
11 Mar.,2016 IEEE Fellow, Huawei CTO
Dr. Wu Chou visted my lab
Visual Infography
22 Jan.,2016 IEEE Fellow, Prof. Stephen S. Yau of
Arizona State University visted my lab
Visual Infography
12 Jan.,2016 Prof. Song Guo of University
of Aizu visited my lab
Visual Infography
5 Jan.,2016 IEEE Fellow, Prof. Calton Pu of
Georgia Institude of Technology
visited my lab
Visual Infography
4 Dec.,2015 Dr.Chin-Yew Lin of Microsoft
Research Asia visited my lab
Visual Infography
16 Nov.,2015 Dr.Rong Chang of IBM
visisted my lab

Source Code

These software were produced with support in part by the National Natural Science Foundation of China under grants 61272521,61202435,61472047,and 61571066; by Beijing Municipal Natural Science Foundation (No.4132048).

These programs are free software; you can redistribute them and/or modify them. These programs are distributed in the hope that they will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

    1.  

      1. Prototype-system for detecting SIP flooding attacks

    2.  

      2. Cloud model and MIP for Reliable Service Selection

    3.  

      3. Detectining SYN flooding attacks based on CUSUM

    4.  

      4. QoS measurement of Web services

    5.  

      5. CXCS for mobile service adaptation

    6.  

      6. Energy-aware VM replacement optimaziation

    7.  

      7. Predict unknown Web service QoS values

      [Demo]     Youtube    
    8.  

      8. Simulation Tool for Cloud Service Reliability

    9.  

      9. FTCloudSim source code casual version

      More detailed information is in "Zhou A, Wang S, Sun Q, Zou H, Yang F.FTCloudSim: a simulation tool for cloud service reliability enhancement mechanisms.

      Proceedings of ACM/IFIP/USENIX International Middleware Conference Demo & Poster Track, 2013." If FTCloudSim can help you, please cite it in your paper.

         
    10.  

      10. WebCloudSim is cloud simulation system that supports fat-tree cloud data center for reliablity, QoS, energy, and netwrok resource metric. You can use it by

    11.  
       
    12.  

      12. 面向服务的移动边缘计算