International Conference on Cloud Computing, Big Data and Blockchain

ICCBB 2018

http://fzuconf.com/ICCBB-2018/index.htm

Ramada Plaza Fuzhou, Nov 15-17, 2018

Program

Organized by

Fuzhou University, China

Sponsored by

Message from Chairs Dear Honored Guests:

Welcome to Fuzhou! I would like to extend our warmest welcome to the delegates and participants of the 2018 International Conference on Cloud Computing, Big Data and Blockchain (ICCBB).

We would like to express our utmost appreciation to College of Mathematics and Computer Science, Fuzhou University, University of Stavanger, Agriculture and Forestry University for their dedicated efforts in ensuring the success of this global gathering. The conference aims to bring together researchers who work on cloud computing, big data, blockchain and related technologies. I am confident that this event will be the most productive for all the participants who have traveled afar from the world over to join this conference.

Other than conference activities, please also take advantage of your stay in Fuzhou to explore this enchanting and vibrant city. Fuzhou is the capital and the largest prefecture-level city of Fujian province, People's Republic of China. Three Lanes & Seven Alleys is the brief name for 10 lanes & alleys ranging from the north side to the east side of Nanhou Street. Those delicate buildings not only embody the brilliance of ancient workmen, but also the vivid lives of residents of this ancient city. China Ship-building and Navigation Culture Museum is an exhibition hall presenting the history of ship-building and navigation culture that featured by ship building, ship repairing and talent training.

As Host University and sponsor of the 2018 International Conference on Cloud Computing, Big Data and Blockchain, we wish you a wonderful conference, and hope that you bring home the most beautiful memories.

Enjoy the conference!

Wenzhong Guo, Fuzhou University, China Xianghan Zheng, Fuzhou University, China

Program Sketch

Nov 14th Registration Hotel lobby

Nov 15th : Day 1

Crabapple Jasmine Hall, (2th 09:00 - 09:10 Opening Ceremony Floor, Chinese restaurant)

09:10 - 10:10 Keynote Speech I (Speaker: Prof. Fangming Liu)

10:10 - 10:30 Coffee Break

10:30 - 11:30 Keynote Speech II (Speaker: Prof. Qun Huang)

Peony Hall, (2th Floor, Chinese 12:00 - 13:00 Lunch restaurant)

14:30 - 17:50 Session 1: Machine Learning and Big Data Beijing Hall, B-1st Floor

14:30 - 18:10 Session 2: Big data Security and Privacy Shanghai Hall, B-1st Floor

15:30 - 15:50 Coffee Break

Peony Hall, (2th Floor, Chinese 18:00 - 19:00 Dinner restaurant)

Nov 16th : Day 2

09:00 - 10:00 Keynote Speech Ⅲ (Speaker: Yong Peng Wu) Beijing Hall, B-1st Floor

10:00 - 10:20 Coffee Break

10:20 - 12:00 Session 3: Blockchain and Applications Beijing Hall, B-1st Floor

10:20 - 12:00 Session 4: Data Algorithms and Applications Shanghai Hall, B-1st Floor

Peony Hall, (2th Floor, Chinese 12:00 - 13:00 Lunch restaurant)

14:30-18:10 Session 5: Cloud (Edge) Computing and Data Processing Beijing Hall, B-1st Floor

Peony Hall, (2th Floor, Chinese 18:10 - 19:00 Dinner restaurant)

Nov 17th : Day 3

09:00 - 11:00 ICCBB workshop on Big Data and Blockchain Shanghai Hall, B-1st Floor

Peony Hall, (2th Floor, Chinese 12:00 - 13:00 Lunch restaurant)

15:00 - 17:00 ICCBB Steering Committee Meeting Shanghai Hall, B-1st Floor

18:00 - 19:00 Dinner Detailed Program

Nov 14th Registration (Hotel lobby)

Nov 15th: Day 1

09:00 - 09:10 Opening Ceremony (CrabappleJasmine Hall, 2th Floor, Chinese restaurant)

09:10 - 10:10 Keynote Speech I: Prof. Fangming Liu (Huazhong University of Science and Technology）

10:10 - 10:30 Coffee Break

10:30 - 11:30 Keynote Speech II: Prof. Qun Huang (Chinese Academy of Sciences (ICT-CAS), Chinese )

12:00 - 13:00 Lunch

Session 1: Big data Security and Privacy Session Chair: Xianghan Zheng

14:30 - 14:50 Bintaint：A Static Taint Analysis Method for Binary Vulnerability Mining Zenan Feng, Zhenyu Wang, Weiyu Dong and Rui Chang 14:50 - 15:10 Activation Method for Disjunctive Belief Rule Base Using Principle of Inclusion and Exclusion Jie Zhang, Yang- Fu, Nan-Nan Chen and Yingjie Wu

15:10 - 15:30 Uniform Service Description and Contextual Access Control for Trustworthy Cloud Computing Vangalur Alagar and Kaiyu Wan

15:30 - 15:50 Coffee Break

15:50 - 16:10 Research on DDos Attack Detection in Software Defined Network Zhaohui Ma, Gansen Zhao and Weiwen Li

16:10 - 16:30 Privacy of Outsourced two-party k-means Clustering Yunlu Cai and Chunming Tang

16:30 - 16:50 Evolutionary game analysis on permission request policy of service providers Junlin Jin, Ayong Ye, Zhijiang Yang and Li Xu

16:50 - 17:10 Web server security evaluation method based on multi-source data Wu Kedong, Gao Xiaoling and Liu Yanhua

17:10 – 17:30 Research on Ontology-based Network Security Knowledge Map Chen Biqiong, Liu Yanhua and Zheng Yaning 17:30 - 17:50 Secret Image Sharing with Public Reconstruction over Distributed Cloud Network Ching-Nung Yang, Jian-Ming Li, Song-Yu Wu and Shin-Shang Lin

Session 2: Machine Learning and Big Data Session Chair: Fan Jiang

14:30 - 14:50 Energy Aware Dynamic Workflow Application Partitioning and Task Scheduling in Heterogeneous Mobile Cloud Network Abdullah Lakhan and Li Xiaoping

14:50-15:10 Big social data mining in a cloud computing environment Fan Jiang, Carson Leung, Ryan Middleton and Adam G.M. Pazdor

15:10 - 15:30 Simplified Swarm Optimization based Function Modules Detection in Protein-to-Protein Interaction Networks Lingting Wu and Shaozhen Ye

15:30 - 15:50 Coffer Break

15:50- 16:10 Traffic Classification Method based on Random Forest Yubo Zhai

16:10 - 16:30 Human action recognition based on action units and CNN features Xu Yuming and Jiang Ping

16:30 – 16:50 Component-based Assembling Tool and Runtime Engine for the Machine Learning Process Hongqing Guo, Peiyong Su, Wenzhong Guo and Kun Guo 16:50 – 17:10 Research on Futures Programmed Trading Based on Deep Reinforcement Learning Weipeng Xie 17:10 – 17:30 The Study of a Textile Punching Robot Based on Combined Deep Reinforcement Learning Wenqi Li, Dehua Chen, Jin Dai and Jiajin Le 17:30 – 17:50 Deep Learning Based Text Sentiment Analysis Wenfei Zheng Nov 16th : Day 2

Session 3: Blockchain and Applications Session Chair: Xiaolong Liu

9:30 - 9:50 Off-chain Data Fetching Architecture for Ethereum Smart Contract Xiaolong Liu, Yu-Wen Chen, Riqing Chen and Shyan-Ming

9:50 - 10:10 Blockchain-based Smart Contracts: A Systematic Mapping Study of Academic Research (2018) Maher Alharby, Amjad Aldweesh and Aad van Moorsel

10:10 – 10:30 Coffer Break

10:30 - 10:50 Bitcoin Blockchain Transactions Visualization Ajay Kumar Shrestha and Julita Vassileva

Session 4: Data Algorithms and Applications Session Chair: Jiaxiang Lin

9:30 - 9:50 Argument free association rule mining via knee point detection of the fitting curve Jiaxiang Lin, Changcai Yang, Jianwei Wu, Zejun Zhang and Zhaogang Shu

9:50 - 10:10 Live Migration Analysis for Multitasking Virtual Machines under Memory Stresses Cho-Chin Lin and Dong-Ye Xie

10:10 - 10:30 Coffer Break

10:30 - 10:50 Refactoring Java Code for Automatic API Generation Genggeng Liu, Chuanshumin Hu, Shihong Chen, Ying Zhang and Xing Chen 10:50 - 11:10 Research on Multi-Keyword Streaming Parallel Retrieval Combining Query Subgraphs Jian Guan, Jingbin Wang and Qianhong Bian

11:10 - 11:30 EMSR:An Efficient Method of Streaming Reasoning Juan Li, Jingbin Wang and Jing Lin

11:30 - 11:50 Regulatory Networks of lncRNA and miRNA and circRNA based on the disease Yi Ouyang

Session 5: Cloud (Edge) Computing and Data Processing Session Chair: Changcai Yang

14:30 - 14:50 Fog Computing:Concept,Applications and Future Wu Wei

14:50 - 15:10 Clustering based Interest Prediction in Social Networks Wenfei Zheng

15:10 - 15:30 Research on Intelligent Recognition Algorithm for Relay Protection Semantic Li Mufeng and Chang Rui

14:30 - 14:50 Auxiliary treatment of thyroid disease tensor combined with active learning method for multiple tasks Dehua Chen, Jinxuan Niu and Qiao Pan

15:50 - 16:10 A Method for Construction Core Points Identification based on Trajectory Data of Engineering Vehicles Zhang Meirun, Zou Fuming and Liao Lyuchao

16:10 - 16:30 SciAP: A Programmable, High-Performance Platform for Large-Scale Scientific Data Yang Tian, Chao Li, Chao Liu and Haihua Yan

16:30 - 16:50 A Novel Word Cloud Graph System Design for Movie Comments Tianshu Li, Yuefei Chen and Changjiang Zhang

16:50 - 17:10 TextANN: An Improved Text Classification Model Based on Data Augmentation Li Hong, Yang Xiaosheng, Yang Guoqing, Ouyang Xiaogang, Chen Yu and Wang Xueqing

17:10 - 17:30 Fully Binarized Convolutional Neural Network for Accelerating Edge Vision Computing Peiqing Jiang, Lijun Wu, Zhicong Chen, Yunfeng Lai, Shuying Cheng and Peijie Lin

17:30 - 17:50 House price forecast based on dynamic model averaging model combined with web search index Hao Tian

Nov 17th : Day 3

Session 6: ICCBB workshop on Future trend of Big data and Blockchain (Shanghai Hall)

09:00 - 09:40 Combination of Blockchain and Big Data for future services Chunming Rong

09:40 - 10:20 Bioinformatics Big Data and Blockchain: survey and possible solutions Liyu Lin

10:20 - 11:00 IoT and Blockchain: Concept, Challenges and solutions Yi Ren

12:00 - 13:00 Lunch

15:00 - 17:00 Steering Committee Meeting (Shanghai Hall)

Keynote I

Title: Shaping the Cloud & Edge from a QoSE (Quality-Open-Smart-grEen) Perspective Abstract

Cloud computing and cloud storage upon large-scale datacenters (DCs) and content delivery networks (CDNs), are becoming the fundamental paradigm of multiplexing and managing massive computing, storage, networking and big data resources as utility, which host a wide range of Internet-scale services and applications. Meanwhile, edge computing has recently emerged as a complementary paradigm to further optimize latencies, save bandwidth costs and preserve security/privacy requirements. In this keynote, we envision a four-dimensional development trend of both cloud and edge in terms of Quality-Open-Smart-grEen (QoSE), by not only exploring new design space and open source deployment of emerging cloud and edge eco-systems at the service-level spectrum (such as multiple inter-clouds and hybrid cloud-edge interplays), but also identifying challenges and opportunities of underlying DC resource management at the infrastructure-level spectrum (such as SDN/NFV-enabled DC performance guarantee and ML/data-driven energy efficiency optimization). Concrete case studies and inspiring research results will be illustrated to bridge theory and practice, so as to foster comprehensive brainstorming and cross-disciplinary collaboration for shaping the future cloud and edge.

Biography: Fangming Liu is a Professor in the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. He received the B.Eng. and Ph.D. degrees from Tsinghua University and Hong Kong University of Science and Technology, respectively. He was a StarTrack Visiting Faculty with Microsoft Research Asia (MSRA), and a Visiting Scholar with University of Toronto, Canada. He received the National Natural Science Fund (NSFC) for Excellent Young Scholars, and the National High-level Personnel of Special Support Program for Top-Notch Young Professionals, China. His research interests include networking and distributed systems, ranging from Cloud Computing and Green Computing, Edge Computing and Mobile-Cloud/P2P, Datacenter and SDN/NFV, to AI for/by Internet. He is the PI of NSFC-DFG (German Research Foundation) International Joint Research Project on “SmartEdge: Concepts and Methods for Edge Computing”, and a co-PI of National Key Research & Development (R&D) Plan Project on “Key Technologies and Systems of Highly Energy-Efficient Cloud Datacenters“. He has a series of publications in the Proceedings of the IEEE (ESI highly-cited paper), TON/TPDS/TC/JSAC, USENIX ATC, Middleware, INFOCOM/ICNP/ICDCS, ACM SIGMETRICS, and received the Best Paper Awards from IEEE GLOBECOM 2011 and ACM e-Energy 2018, etc. Key technologies and prototypes developed by him and his research team have been transferred and integrated into officially approved Big-Tent modules of OpenStack (the world’s largest open-source cloud-ecosystem), and further deployed in large-scale production systems through collaborations with Huawei, Inspur, ZTE, etc. He served as a Panel Reviewer of NSFC (National Natural Science Foundation of China) and MOST (Ministry of Science and Technology of China), and an External Reviewer of Hong Kong RGC (Research Grants Council).

He served as the TPC for IEEE INFOCOM 2013-2019, ACM Multimedia 2014, 2016 and 2018, ICDCS 2015-2017 and 2019, ICNP 2014, IWQoS 2016-2018, ACM e-Energy 2016-2019, etc. He also served as a Program Co-Chair of INFOCOM 2017 SmartCity Workshop, the Program Chair of GPC 2014 (the 9th International Conference on Green, Pervasive and Cloud Computing), a Poster/Demo Co-Chair of ICNP 2016, a Publicity Co-Chair of ICNP 2017-2018 and IWQoS 2017, etc. He was a Keynote Speaker in IEEE INFOCOM 2018 Workshop on Big Data and Cloud Performance (DCPerf 2018). As a Senior Member of the IEEE and CCF and a Member of the ACM and USENIX, he served as a guest editor for the IEEE Network Magazine, IEEE Systems Journal and CCF Transactions on Networking, a young associate editor for the Frontiers of Computer Science, and the Editor-in-Chief of EAI Endorsed Transactions on Collaborative Computing (2015-2017).

Keynote II

Title: Prof. Qun Huang, Chinese Academy of Sciences (ICT-CAS) Abstract

Qun Huang is an Associate Professor at Institute of Computing Technology, Chinese Academy of Sciences (ICT-CAS). Before joining ICT, he was a Researcher at Huawei Future Network Theory Lab in Hong Kong from 2015 to 2017, leading a group for network measurement and analytics. He got his Ph.D. degree in August 2015 from The Chinese University of Hong Kong, and B.S. degree from Peking University in 2011. He has published papers in several top conferences including ACM SIGCOMM, VLDB and INFOCOM.

Keynote III

Title: A Survey of Physical Layer Security Techniques for 5G Wireless Networks

and Challenges Ahead

Prof. YongPeng Wu, Shanghai Jiao Tong University Abstract Abstract: Physical layer security which safeguards data confidentiality based on the information-theoretic approaches has received significant research interest recently. The key idea behind physical layer security is to utilize the intrinsic randomness of the transmission channel to guarantee the security in physical layer. The evolution towards 5G wireless communications poses new challenges for physical layer security research. We give a latest survey of the physical layer security research on various promising 5G technologies, including physical layer security coding, massive multiple-input multiple-output, millimeter wave communications, heterogeneous networks, non-orthogonal multiple access, full duplex technology, etc. Technical challenges which remain unresolved at the time of talk are summarized and the future trends of physical layer security in 5G and beyond are discussed.

{Yongpeng Wu} (S'08--M'13--SM'17) received the B.S. degree in telecommunication engineering from Wuhan University, Wuhan, China, in July 2007, the Ph.D. degree in communication and signal processing with the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China, in November 2013.

Dr. Wu is currently a Tenure-Track Associate Professor with the Department of Electronic Engineering, Shanghai Jiao Tong University, China. Previously, he was senior research fellow with Institute for Communications Engineering, Technical University of Munich, Germany and the Humboldt research fellow and the senior research fellow with Institute for Digital Communications, University Erlangen-N$\ddot{u}$rnberg, Germany. During his doctoral studies, he conducted cooperative research at the Department of Electrical Engineering, Missouri University of Science and Technology, USA. His research interests include massive MIMO/MIMO systems, physical layer security, signal processing for wireless communications, and multivariate statistical theory.

Dr. Wu was awarded the IEEE Student Travel Grants for IEEE International Conference on Communications (ICC) 2010, the Alexander von Humboldt Fellowship in 2014, the Travel Grants for IEEE Communication Theory Workshop 2016, the Excellent Doctoral Thesis Awards of China Communications Society 2016，the Exemplary Editor Award of IEEE Communication Letters 2017, and Young Elite Scientist Sponsorship Program by CAST 2017. He was an Exemplary Reviewer of the IEEE Transactions on Communications in 2015, 2016. He was the lead guest editor for the special issue ``Physical Layer Security for 5G Wireless Networks" of the IEEE Journal on Selected Areas in Communications. He is currently an editor of the IEEE Access and IEEE Communications Letters. He has been a TPC member of various conferences, including Globecom, ICC, VTC, and PIMRC, etc.

Hotel information

Fuzhou Sandi Ramada Plaza Orlando Hotel is Sandi estate following the high Stars Hotel Sandi Doubletree by Hilton after a design according to the international five star standard decoration. The hotel is located in Minjiang Avenue, South Jiangbin Park, Rongcheng square, Wanda Plaza commercial circle. The hotel has elegant and comfortable, prominent personality of the deluxe rooms, suites between 161 (set), rooms are equipped with high-speed broadband Internet access and international channels; restaurant has all kinds of box 18, Guangdong, Fujian cuisine show Food essence, meta blend gourmet Zhenwei; western restaurant with about 120 seats, are determined to build a Western-style food style most grade of Fuzhou city and the most professional Western-style food production; professional catering and grade style, to meet the different requirements of different customers; banquet hall and the different types of meeting rooms equipped, conference equipment Goods are available in all varieties. makes your business more efficient; Sports Center Gym, yoga is more real, swimming pool, recreation center, music bars comprehensive facilities to meet the different needs of customers. Quiet environment to create a comfortable atmosphere for your business and leisure scored their true interest.

Address： No. 202 Cangshan Jinshan District of Fuzhou City, Fujian Province, Minjiang Avenue, Fuzhou, China (福州仓山区华美达酒店).

Location

Transportation

Fuzhou Changle International Airport:

Bus:You can take the airport bus to the Yishan Mansion Qinrong Hotel Station and then take a taxi to the Sandi Ram ada Plaza Orlando Hotel. Taxi:around 200 Yuan and takes 50 min

Fuzhou Railway Station:

Bus:You can take bus No. 308 or No.K3 to Rongcheng Plaza station, then walk 8 minutes to the Sandi Ramada Plaza Orlando Hotel.

Taxi:You can take a taxi to the Sandi Ramada Plaza Orlando Hotel, about 45 Yuan .

Fuzhou South Railway Station:

Bus:You can take bus No. 167 to Jinshan gymnasium station, then walk 2 minutes to the Sandi Ramada Plaza Orlando Hotel.

Taxi:You can take a taxi to the Sandi Ramada Plaza Orlando Hotel, about 55 Yuan . ORGANIZING COMMITTEES

General Chair

Wenzhong Guo，Fuzhou University, China

Program Chairs

Xianghan Zheng, Fuzhou University, China Changcai Yang, Fujian Agriculture and Forestry University, China

Organization Chair

Dewang Chen, Fuzhou University, China

Publicity Chair

Chunsheng Zhu, University of British Columbia, Canada

Publicity Chairs

Chunsheng Zhu, University of British Columbia, Canada

Steering Committee

Chunming Rong, University of Stavanger, Norway, (Chair) Albert Zomaya, University of Sydney, Australia, (Vice Chair) Martin Gilje Jaatun, SINTEF, Norway Thomas J Hacker, Purdue University, USA Guolong Chen, Fuzhou University, China Henry Chan, The Hong Kong Polytechnic University, Hong Kong, China

Advisory committee

Rajkumar Buyya, University of Melbourne, Australia Stephen Diamond, IEEE CCI, USA Albert Zomaya, University of Sydney, Australia Kai Hwang, University of Southern California, USA Hai Jin, Huazhong University of Science and Technology, China Jiannong Cao, Hong Kong PolyU, Hong Kong, China Siani Pearson, HP Labs, UK Jianying Zhou, Inst. Info. Research, Singapore Pavan Balaji, Argonne National Lab, USA Victor Leung, UBC, Canada Chung-Ming Hwang, National Cheng-Kun University, Taiwan, ROC Sadie Creese, Oxford, UK Åke Edlund, KTH, Sweden Huanguo Zhang, Wuhan University, China

Program Committee

Tomasz Wiktor Wlodarczyk, University of Stavanger, Norway Geng Yang, Nanjing University of Posts & Telecommunications, China Dingyi Pei, University, China Vladimir Oleshchuk, University of Agder, Norway Lei Jiao, University of Agder, Norway Xuan Zhang, University of Agder, Norway Yi Ren, National Chiao Tung University, Taiwan, ROC Xinyi Huang, Fujian Normal University, China Guohua Liu, Donghua University, China Chunming Tang, Guangzhou University, China Zhou Quan, Guangzhou University, China Dehua Chen, Donghua University, China Daniel Grosu, Wayne State University, USA Raiganj University, West Bengal, India Xin Hong, Hua Qiao University, China Tor-Morten Grønli, Norwegian School of Information Technology, Norway Kyrre begnum, Oslo University College, Norway Yang Yang, Fuzhou University, China Yuzheng Niu, Fuzhou University, China Guolong Chen, Fuzhou University, China Xiangwen Liao, Fuzhou University, China Zhen Chen, Tsinghua University, China Hui Cheng, University of Bedfordshire, UK Andrzej M. Goscinski，Deakin University, Australia Bo Hong, Georgia Institute of Technology, USA WenZhong Guo, Fuzhou University, China Liusheng Huang, University of Science & Technology of China, China Ching-Hsien Hsu(Robert), Chung Hua University, Taiwan Lingjuan Li, Nanjing University of Posts & Telecommunications Peng Liu, Institute of Telecommunications, China Dana Petcu, West University of Timisoara, Romania Xiaoling Qing, Nanjing University of Aeronautics and Astronautics, China Wei Tan, IBM T. J. Watson Research Center, USA Guillermo Taboada, University of A Coruna, Spain Yang Xiang, Central Queensland University, Australia Bin Xiao, Hong Kong Polytechnic University, Hong Kong Qingjun Xiao, Georgia State University, USA Xianghan Zheng，Fuzhou University, China Junwei Cao, Tsinghua University, China Josef Noll, University of Oslo/UNIK , Norway Nik Bessis, University of Derby, UK Xiaolong Xu, Nanjing University of Posts & Telecommunications, China Zhihui Du, Tsinghua University, China Wei Xu, Tsinghua University, China Xiangfei Meng, National Supercomputing Center in Tianjin, China Chao-Tung Yang, Tunghai University, Taiwan, ROC Yong Li, Beijing Jiaotong University, China Xiaoxuan Meng, VMware, Inc US Aniruddha Bhattacharjya, Amrita Vishwa VidyaPeetham, India Hamid Mcheick, University of Québec, Canada Wei Wei, Xi'an University of Technology, China Elhadj Benkhelifa, Staffordshire University, Britain Yu Su, Ohio State University, USA

Contact Information

Xianghan Zheng, [email protected], 15080025921 Changcai Yang, [email protected], 13599393806