IEEE International Conference on Computer Communications
29 April - 2 May 2019 // Paris, France

Workshop on Intelligent Cloud Computing and Networking - Program

The First International Workshop on Intelligent Cloud Computing and Networking  
(ICCN 2019)

Monday, 29 April, 2019 ● 8:55 – 18:00 ● Room: Scene D

Cloud computing, as well as Cloud-inspired business models, enables on-demand access to a shared pool of resources, namely computing, storage, networks, services, and applications. With the advent of Cloud-based systems, cloud operators have been aiming at reliable, secured, privacy-preserving and cost-efficient cloud design and management. As the Cloud infrastructure aims at offering various IT resources as services, requirements of Cloud applications vary based on the resources which are requested as services. Thus, the resources may refer to heavy computation resources, massive storage resources, and high-capacity network resources and so on. The heterogeneity of cloud applications leads to the challenge of holistic design of a robust Cloud system which can oversee and handle the diverse needs of numerous types of applications. On the other hand, these challenges enforce cooperation of various players in the Cloud system, each of which focuses on a different segment such as computing, network, applications, and systems. 

The First International Workshop on Intelligent Cloud Computing and Networking (ICCN-2019) is the evolution of the previous 7 editions CCSNA (Cloud Computing Systems, Networks, and Applications) workshop, starting in IEEE Globecom 2013. It aims at the crossroads between scientists, researchers, practitioners and students from diverse domains in Cloud computing research. The Workshop aims at attracting contributions of system and network design that can support existing and future applications and services.


General Co-Chairs

Alfredo Grieco (Politecnico di Bari, Italy)

Ruidong Li (NICT, Japan)

Zhi Zhou (Sun Yat-sen University, China)


Technical Program Co-Chairs

Ruiting Zhou (Wuhan University, China)

Deze Zeng (China University of Geosciences, China)

Rami Langar (University Paris Est, France)


Publicity Co-Chairs

Moayad Aloqaily (Gnowit Inc. Ottawa, Canada)

William Liu (Auckland University of Technology, New Zealand)

Nishanth Sastry (King's College London, U. K.)

Sandra Sendra (Universidad de Granada, Spain)

Houbing Song (Embry-Riddle Aeronautical University, USA)


Steering Committee

Jiannong Cao (The Hong Kong Polytechnic Univ, Hong Kong)

Jie Li (Shanghai Jiao Tong University, China)

Noel Crespi (Telecom SudParis, France)

Jie Wu (Temple University, USA)

Hitoshi Asaeda (NICT, Japan)

Xiaoming Fu (University of Gottingen, Germany)

Chuan Heng Foh (University of Surrey, UK)

Jinsong Wu (Universidad de Chile, Chile)

Periklis Chatzimisios (Alexander TEI of Thessaloniki, Greece)

Yaser Jararweh (Duquesne University, USA)

Chuan Wu (The University of Hong Kong, Hong Kong)

Zongpeng Li (Wuhan University, China & University of Calgary, Canada)

Volker Hilt (Nokia Bell Labs, Germany)

Lei Jiao (University of Oregon, USA)

Niklas Carlsson (Linko ̈ping University, Sweden)


8:55 – 9:00  
Opening Session  
Message from Chairs

9:00 – 10:00
Keynote Session 1

Chair: Ruidong Li (NICT, Japan)
Speaker: Jiannong Cao(The Hong Kong Polytechnic University, Hong Kong)
Collaborative Edge Computing for Scalable Connectivity and Distributed Intelligence

In the past decade, applications of Internet of Things (IoT) such as Smart Home, Smart Cities, Smart Healthcare etc. have been deployed where the devices in our surroundings are interconnected to provide better services and comfort to humans. More recently, we witness the emerging applications in industrial internet, supply chains and other areas where the scale of the systems, the number of devices and data being generated continuously increases. It will be at very high cost to send all the data to a centralized server, as done in cloud computing, for processing and decision-making. Therefore, recent trend is to move the computation tasks from centralized cloud to edge devices which are closer to data sources. In this talk, I will describe Edge, an infrastructure for collaborative edge computing, where the intelligence and decision-making are pushed to the edge of and within the network closer to the sources of data, EdgeMesh lets the edge devices share the data and collaborate on the computation tasks. It also facilitates higher scalability and reliability with flexible and dynamic system reconfiguration.

Short Bio:
Dr. Cao is currently a Chair Professor of Department of Computing at The Hong Kong Polytechnic University, Hong Kong. He is also the director of the Internet and Mobile Computing Lab in the department and the director of University’s Research Facility in Big Data Analytics. His research interests include parallel and distributed computing, wireless sensing and networks, pervasive and mobile computing, and big data and cloud computing. He has co-authored 5 books, co-edited 9 books, and published over 600 papers in major international journals and conference proceedings. He received Best Paper Awards from conferences including IEEE DSAA 2017, IEEE SMARTCOMP 2016, IEEE ISPA 2013, IEEE WCNC 2011, etc. Dr. Cao served the Chair of the Technical Committee on Distributed Processing of IEEE Computer Society from 2012 to 2014, a member of IEEE Fellows Evaluation Committee of the Computer Society and the Reliability Society, a member of IEEE Computer Society Education Awards Selection Committee, a member of IEEE Communications Society Awards Committee, and a member of Steering Committee of IEEE Transactions on Mobile Computing. He has also served as chairs and members of organizing and technical committees of many international conferences, and as associate editor and member of the editorial boards of many international journals. Dr. Cao is a fellow of IEEE and ACM distinguished member. In 2017, he received the Overseas Outstanding Contribution Award from China Computer Federation.


Coffee Break

Session 1:Cloud Applications

Chair: Qichao Xu (Shanghai University, China)

Credible and Economic Multimedia Service Optimization in Cloud Network
Tengfei Cao, Changqiao Xu and Han Xiao (Beijing University of Posts and Telecommunications, P.R. China); Lujie Zhong (Capital Normal University, P.R. China)

Reinforcing the Edge: Autonomous Energy Management for Mobile Device Clouds
Venkatraman Balasubramanian (Arizona State University, USA); Faisal Zaman (University of Ottawa, Canada); Moayad Aloqaily (Gnowit Inc., Canada); Saed Alrabaee (University of New Haven, USA); Maria Gorlatova (Duke University, USA); Martin Reisslein (Arizona State University, USA)

Context-Aware Service Chaining Framework for Over-the-Top Applications in 5G Networks
Chang Ge, David Lake, Ning Wang, Yogaratnam Rahulan and Rahim Tafazolli (University of Surrey, United Kingdom (Great Britain))

Session 2: Cloud System

Chair: David Lake (University of Surrey, U. K.)

Design and Evaluation of a Software Defined Passive Optical Intra-Rack Network in Data Centers
Yueping Cai, Sen Luo, Li Zhou, Zongchen Yao and Tianchi Li (Chongqing University, P.R. China)

Point Estimator Log Tracker for Cloud Monitoring
Tariq Daradkeh and Anjali Agarwal (Concordia University, Canada); Nishith Goel (Cistel, Canada); Jim Kozlowski (Cistech, Canada)

Cyberspace Surveying and Mapping: Hierarchical Model and Resource Formalization
Rui Xu, Zhiyong Zhang and ZhiHong Rao (China Electronic Technology Cyber Security Co., Ltd; Cyberspace Security Key Laboratory of Sichuan Province, P.R. China); Jianfeng Chen, Ming LI (China Electronic Technology Cyber Security Co., Ltd, P.R. China); Fang Liu (China Electronic Technology Cyber Security Co., Ltd; Cyberspace Security Key Laboratory of Sichuan Province, P.R. China); Shengli Pan (China University of Geosciences (Wuhan), P.R. China)


Session 3: Cloud Security
Chair: Zhi Zhou (Sun Yat-Sen University, China)

Policy-based Bigdata Security and QoS Framework for SDN/IoT: An Analytic Approach
Keshav Sood (Deakin University, Melbourne Australia, Australia); Shiva Pokhrel (Deakin University; Nepal Telecom, Australia); Shui Yu (University of Technology Sydney, Australia); Mohammad Reza Nosouhi (University of Technology Sydney; CSIRO' Data61, Australia)

Intrusion Detection in Autonomous Vehicular Networks: A Trust Assessment and Q-learning Approach
Rui Xing, Zhou Su and Yuntao Wang (Shanghai University, P.R. China)

Early Online Classification of Encrypted Traffic Streams using Multi-fractal Features
Erik Areström and Niklas Carlsson (Linköping University, Sweden)

Keynote Session 2

Chair: Zhi Zhou (Sun Yat-Sen University, China)
Speaker: Xiaoming Fu(University of Goettingen, Germany)
Automated Management of Softwarized and Virtualized Network Functions

Online management of large-scale cloud and virtualized resources poses many challenges and opportunities. As emerging network appliances, such as firewalls, loadbalancing, QoS and DPI, are more and more implemented as software-defined functions and converging on the cloudized and virtualized network infrastructure, the management of such functions becomes more and more critical. I will introduce some of our recent work towards efficient management of NFV-based service chaining, placement of data and virtual machines (VMs), as well as scheduling of NFV resources.

Short Bio:
Prof. Xiaoming Fu received his Ph.D. from Tsinghua University, Beijing, China in 2000. He was then a research staff at the Technical University Berlin until joining University of Göttingen as an assistant professor in 2002, where he has been a professor in computer science and heading the Computer Networks Group since 2007, and the founding director of Sino-German Institute of Social Computing since 2015. Prof. Fu's research interests lie in networked systems and applications, including cloud computing, mobile computing, big data and social networks. He has actively participated in national and international projects, including as coordinator of EU FP7 GreenICN, CleanSky and MobileCloud projects as well as H2020 ICN2020 project. He has also served on the program or organization committees of several conferences such as ACM SIGCOMM, CoNEXT, MOBICOM, ICN, IEEE INFOCOM, ICNP and ICDCS. He is a Fellow the IET and the Academia Europaea, an IEEE senior member and Distinguished Lecturer, and has served as secretary (2008-2010) and vice chair (2010-2012) of IEEE Communications Society Technical Committee on Computer Communications (TCCC), as well as as chair (2011-2013) of the Internet Technical Committee (ITC), the joint committee of IEEEE Communications Society and the Internet Society.


Coffee Break

Session 4: Cloud Network

Chair: Yueping Cai (Chongqing University, China)

An Energy-driven Network Function Virtualization for Multi-domain Software Defined Networks
Kuljeet Kaur and Sahil Garg (École de Technologie Supérieure, Canada); Georges Kaddoum (ETS Engineering School, University of Québec, Canada); Francois Gagnon (Ecole de Technologie Superieure, Canada); Neeraj Kumar (Thapar University Patiala, India); Syed Hassan Ahmed (Georgia Southern University, USA

Detection of Multipath Routing With Passive Delay Measurements
Shengli Pan, Yan Wang, and Muzhou Xiong (China University of Geosciences, P.R. China); Lin Gu (Huazhong University of Science and Technology, P.R. China); Guangmin Hu (University of Electronic Science and Technology of China, P.R. China)

Towards Software-defined Fog Computing via Named Data Networking
Marica Amadeo and Claudia Campolo (University Mediterranea of Reggio Calabria, Italy); Giuseppe Ruggeri (University of Reggio Calabria, Italy); Antonella Molinaro and Antonio Iera (University Mediterranea of Reggio Calabria, Italy)

Session 5: Cloud Applications

Chair: Faisal Zaman (University of Ottawa, Canada)

Using Overlay Cloud Network to Accelerate the Global Communications
Zhaogui Xu, Ran Ju, Liang Gu, Feng Li, Weiguang Wang, Jin Li, and Lei Han (Huawei Technologies, P.R. China)

Cloud Security Service Level Agreements: Representation and Measurement
Neminath Hubballi, Amey Patel, Amit Meena and Nikhil Tripathi (Indian Institute of Technology Indore, India)

Information Cascades over Diffusion-Restricted Social Network: A Data-Driven Analysis
Bo Zhang, Qiong Wu and Xu Chen (Sun Yat-sen University, P.R. China); Liang Chen (Tencent Inc., P.R. China)


Student Travel Grant Sponsors