Track Descriptions

1. Cognitive, Cellular and Mobile Networks (CCM)
Jianping Wang, City University of Hong Kong, jianwang@cityu.edu.hk
Song Min Kim, George Mason University, song@gmu.edu

With the proliferation of smart handheld devices, mobile data is projected to grow drastically in the next few years. Coupled with emerging machine-to-machine communications, there is a compelling need to significantly improve the current network capacity and architecture. To meeting this challenge, traditional cellular networks must be more adaptive and intelligent, e.g., adaptive to different types of spectrum (white space or dedicated) and traffic patterns. They must also interconnect with other coexisting wireless networks such as Wi-Fi, wireless mesh network, femtocells and small cells, etc., to support a wide range of applications.

Track Topics

• Cellular networks
• Seamless heterogeneous wireless networks
• Dynamic spectrum access wireless networks
• Cognitive radio networks
• Wireless programming paradigms and middleware technologies
• Mobility management and modeling
• Wireless infrastructure planning and deployment
• Lessons learned from long-term deployment experiences of wireless technologies
• Radio access technologies and evolution
• Wireless sensor networks
• Wireless mesh networks
• RFID technologies
• Energy-efficient protocol design
• Wireless MAC, routing and transport layer protocols
• Cross-layer design and optimization
• Wireless data offloading
• Wireless network coding
• Device to Device communication
• Communication Interference control
• Performance measurement

TPC List:

• Kang Chen, Southern Illinois Univ
• Roberto Rojas-Cessa, New Jersey Inst of Tech
• Mike Wittie, Montana State Univ
• Violet Syrotiuk, Arizona State Univ
• Yanming Shen, Dalian Univ of Tech, China
• Linke Guo, SUNY Binghamton
• Donghyun Kim, Kennesaw State Univ
• Pasquale Pace, Univ of Calabria
• Yingshu Li, Georgia State Univ, USA
• Jihoon Ryoo, SUNY Korea
• Heejun Roh, Korea Univ
• Zhiwei Zhao, Univ of Electronic Sci and Tech of China
• HyunBum Kim, Univ of North Carolina at Wilmington
• Hyung-Sin Kim, Univ of California, Berkeley
• Wan Du, Univ of California, Merced
• Shigemi Ishida, Kyushu Univ, Japan
• Weiwei Wu, Southeast University, China
• Xiumin Wang, South China University of Technology, China
• Jin Wang, Soochow University, China
• Kui Wu, University of Victoria, Canada

2. Communication Networks Architectures, Algorithms, Measurement and Performance Evaluation (CAAME)
Celimuge Wu, University of Electro-Communications, Tokyo, Japan, celimuge@uec.ac.jp
Xianfu Chen, VTT Technical Research Centre of Finland, xianfu.chen@vtt.fi

Design of efficient network architectures and algorithms is one of the fundamental issues in computer networking. To this end, novel analytical, measurement, and simulation tools are required for evaluating the behaviour and performance of complex communication networks. This track provides researchers, industry professionals and practitioners a forum to present the latest results in the rapidly evolving areas of network architectures, network algorithms, and performance evaluation. We solicit original and unpublished research work on theoretical, analytical, measurement, and simulation aspects of network architectures, network algorithms, and performance evaluation as well as efficient methods of algorithm design that apply to various areas of networking.

Track Topics

• Routing algorithms
• Distributed/decentralized algorithms
• Congestion control algorithms
• Error control algorithms
• Algorithms for QoS support
• QoS routing and scheduling
• QoS analysis and modeling
• Inter-domain QoS
• Packet classification algorithms
• Packet scheduling and buffer management
• Address lookup algorithms
• Admission control algorithms
• Algorithms and protocols for traffic engineering
• Capacity planning
• Traffic modeling, engineering and control
• Network coding
• Reliability and survivability
• Resource allocation and management
• Algorithmic foundations of networking
• Performance evaluation of web and social networking services
• Analytical, measurement, and simulation techniques
• Network design methodologies
• Algorithms and optimization techniques for protocol design
• Data center networking
• Optical networks
• Edge computing technologies for communication networks

TPC List:

• Chase Q. Wu, New Jersey Institute of Technology, USA
• Chau Yuen, Singapore University of Technology and Design, Singapore
• David Grace, University of York, UK
• Eryk Dutkiewicz, University of Technology Sydney, Australia
• Francisco J. Martinez, University of Zaragoza, Spain
• Fuqiang Liu, Tongji University, China
• Guanding Yu, Zhejiang University, China
• Honggang Zhang, Zhejiang University, China
• Lin Zhang, Beijing University of Posts and Telecommunications, China
• Mehdi Bennis, University of Oulu, Finland
• Michelle Zhu, Montclair State University, USA
• Miao Pan, University of Houston
• Moustafa Youssef, Egypt-Japan University of Science and Technology, Egypt
• Paul Rayson, Lancaster University, UK
• Rahul Singh, Massachusetts Institute of Technology
• Rui Zhang, University of Delaware
• Senjuti Basu Roy, New Jersey Institute of Technology, USA
• Shiwen Mao, Auburn University, USA
• Sooksan Panichpapiboon, King Mongkut's Institute of Technology Ladkrabang, Thailand
• Soufiene Djahel, Manchester Metropolitan University, UK
• Sye Loong Keoh, University of Glasgow, UK
• Wei Song, University of New Brunswick, Canada
• Yaochu Jin, University of Surrey, UK
• Yassine Hadjadj-Aoul, University of Rennes 1, France
• Yi Chen, New Jersey Institute of Technology, USA
• Yan Zhang, University of Oslo, Norway
• Yusheng Ji, National Institute of Informatics, Japan
• Zhu Han, University of Houston
• Zizhong (Jeffrey) Chen, University of California, Riverside, USA
• Zhi Liu, Shizuoka University, Japan
• Xiaoyan Wang, Ibaraki University, Japan
• Kun Wang, Nanjing University of Posts and Telecommunications, China
• Bo Gu, Kogakuin University, Japan
• Suhua Tang, The University of Electro-Communications, Japan
• Kok-Lim Alvin Yau, Sunway University, Malaysia
• Hongyang Chen, Fujitsu Labs. Ltd, Japan
• Lei Zhong, TOYOTA InfoTechnology Center Co., Ltd., Japan

3. Data Centers and Big Data Computing (DCBC)
Desheng Zhang, Rutgers University, desheng.zhang@cs.rutgers.edu
Jiawei Huang, Central South University, China, jiaweihuang@csu.edu.cn

Datacenters constitute critical infrastructure for keeping up with the ever-increasing volume, velocity, and variety of big data. This track invites submissions describing novel ideas, techniques, and results in the general area of datacenter design and big data computing.

Track Topics of interest include but are not limited to the following:

• Data center networks and infrastructure
• Application of software defined techniques to datacenters
• Autonomic datacenter management
• Green Datacenter
• Big data processing and storage
• Novel design paradigms and technologies for big data
• Big data analytics
• Case studies describing practical experience
• Performance modeling and evaluation

TPC List:

• Dongsheng Li, National University of Defense Technology
• Deke Guo, National University of Defense Technology
• Fangming Liu, Huazhong University of Science and Technology
• Wanchun Jiang, Central South University
• Yongmao Ren, University of Chinese Academy of Sciences
• Jiao Zhang, Beijing University of Posts and Telecommunications
• Guo Chen, Hunan University
• Prasanna Giridhar, Facebook
• Ningfang Mi, Northeastern University
• Srinivas Narayana, Rutgers University
• Yuanchao Shu, Microsoft Research
• Shaohan Hu, IBM Research
• Bo Sheng, University of Massachusetts Boston
• Shen Li, IBM Research
• Haipeng Dai, Nanjing University
• Wang Yang, The University of Science and Technology of China
• Shuai Wang, Southeast University

4. Green Networking and Sustainable Computing (GREEN)
Ting Zhu, University of Maryland, Baltimore County, zt@umbc.edu
Haipeng Dai, Nanjing University, haipengdai@nju.edu.cn

Information and communication technologies (ICTs) have significantly altered our operations to solve society's sustainability issues. ICTs can facilitate innovations and social and economic restructuring globally to help reduce overall global carbon emissions. It is estimated that by 2020, ICT applications could help reduce global carbon emissions by 15%. On the other hand, the ever-increasing footprint of ICTs has started contributing to greenhouse emissions considerably (2%-2.5% of global carbon emissions). This calls for energy-efficient and sustainable solutions for ICTs. This track focuses on novel contributions to green networking and sustainable computing by improving energy efficiency of end-hosts, data centers, cloud operations, and forthcoming additions to the ICTs, and by developing novel strategies for sustainable integration with the grid. Developments are sought in hardware/software design, network architectures, protocols and algorithms that will lead to sustainable, reliable, and energy efficient networking infrastructure, as well as novel approaches that will improve the manageability, security, and reliability of ICT as it is applied to solve global sustainability challenges.

Track Topics:

• Architectures, algorithms, and protocols
• Applications of green networking technologies and principles
• Cognitive networks for energy efficiency
• Economy and pricing for green communication and services
• Green communication in 5G systems
• Green networking in IoTs
• Green network monitoring and measurements
• Green optical communications, switching and networking
• Green traffic shaping and policy implementation
• Energy cost models for network operators
• Energy efficiency for the core network
• Energy-efficient optimization for communications and computing
• Energy-efficient routers and switches
• Energy efficient scheduling and resource allocation
• Energy harvesting, storage, and recycling
• Energy minimization in core, metro, access and local area networks
• Experimental testbeds for green communications and computing
• Modeling and analysis for green communications and networking
• Modeling the environmental footprint of communications
• Sustainable integration of networking and computing into the grid
• Networking processor and hardware designs
• Non-energy based green issues and approaches
• Power consumption trends and reduction for communications (wireless, wired, Internet, core, metro, access, home)
• Power-efficient cooling and air-conditioning systems for communications and computing
• Security in green networking and sustainable computing
• Standards and regulations for energy efficiency in communications and networking
• Sustainable storage and cloud computing
• Theory, modeling, and performance analysis
• Virtualization techniques for energy efficiency

TPC List:

• Aditya Kr Mishra, University of Seattle
• Daniel Sadoc Menasche, Federal University of Rio de Janeiro
• Wei Yu, Towson University
• Qingquan Zhang, UIUC
• Ping Yi, Shanghai Jiaotong University
• Zhichuan Huang, Sun Yat-sen University
• Sheng Xiao, Hunan University
• Fan Wu, Shanghai Jiaotong University
• Shibo He, Zhejiang University
• Fu Xiao, Nanjing University of Posts and Telecommunications
• Lin Chen, University of Paris-Sud
• Ju Ren, Central South University
• Tian Wang, Huaqiao University
• Jiaqi Zheng, Nanjing University

5. Grid, Cloud, Internet and Middleware Computing and Communication (GCIM)
Claudio Palazzi, University of Padova, Italy, cpalazzi@math.unipd.it
Walter Cerroni, University of Bologna, Italy, walter.cerroni@unibo.it

The rapid advances in processing, communication and systems/middleware technologies are bringing about the explosive growth of the online applications and services in Internet, and driving Grid and Cloud to be dominating paradigms and platforms for computation and data in academia as well as industry. The social networking services in Internet represent a simplified, managed (and walled-garden) version of the Web, providing identifiability of their participants between each other and serving the large-scale access to huge amounts of user generated content, images, and messages that their users share with their contacts in an efficient way. P2P technology effectively supports Internet Streaming and Content Distribution with high scalability and availability for such services. Grids enable the sharing of distributed computing and data resources such as processing, network bandwidth and storage capacity to create a cohesive resource environment for executing distributed applications, while Clouds provide elastic, on-demand as-a-service access to compute, data, and software resources. The Grid, Cloud, Internet and Middleware Computing and Communication track of the ICCCN conference aims to the key issues underlying these paradigms, and welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research. Topics of interest range from architectures and enabling technologies, programming models, systems and tools, management structures and policies, performance modeling and management, security and privacy, algorithms, network and storage, applications and experiences, and associated legal, regulatory, and social issues. We solicit original and unpublished research achievements in various aspects of this field, including, but not limited to, the following topics.

Track Topics

• Grid security and identity management
• Grid scheduling and load balancing
• Grid data management
• Grid self-configuration and management
• Grid networks and applications
• Grid information services and monitoring
• Grid QoS and SLA management
• Grid performance and benchmarking
• Architectures & tools for integration of clouds, clusters & grids
• Service oriented architectures for HPC
• Problem solving environments and portals
• Cloud administration and manageability
• Cloud data privacy and security
• Cloud data services architectures
• Cloud distributed and parallel query processing
• Distributed and cloud networking
• Cloud reliability and high availability
• Cloud resource management and performance
• Cloud provisioning and metering
• Cloud infrastructure technologies
• Cloud scheduling algorithms
• Compute and storage cloud architectures
• Cloud programming models and tools
• Cloud service level agreements
• Cloud federation models, policies and mechanism
• Cloud interoperability mechanisms and standards
• Governance structures and regulatory mechanism for Clouds
• Scientific applications for clouds
• Hybrid Grid/Cloud infrastructure and programming support
• Hybrid Grid/Cloud usage modes and application scenarios
• Energy management
• Virtualization technologies
• Virtual networks
• Internet and mobile streaming
• Content Distribution Network (CDN) and CDN federation
• Network Function Virtualization
• Cloud and content distribution using cloud
• Content adaptation and sharing
• Multimedia applications over wired and wireless/cellular networks
• P2P based content streaming/distribution
• Operating system middleware and network support
• Future Internet and clean-slate design
• Edge/fog computing services and infrastructures
• Edge/fog computing network architectures
• Integration of edge/fog and cloud computing
• Middleware for edge/fog computing applications
• Architectures and systems design for social networks
• Search strategies in social networks
• Social Web Content Provisioning
• Social Networking Platform Apps
• Mobile social networks
• Distributed Systems enabled by Social Networks
• Transport networks for Internet
• Optical Networks

TPC List:

• Alberto Montresor, University of Trento
• Antonella Molinaro, University Mediterranea of Reggio Calabria
• Armir Bujari, Universita degli Studi di Padova
• Blesson Varghese, Queenis University Belfast
• Bin Ren, College of William and Mary
• Bo Sheng, University of Massachusetts Boston
• Boris Koldehofe TU Darmstadt
• Cesare Roseti, University of Rome Tor Vergata
• Dazhao Cheng, UNCC
• Dong Li, UC Merced
• Fabrizio Granelli, University of Trento
• Fangming Liu, Huazhong University of Science and Technology
• Feng Yan, University of Nevada, Reno
• Francesco Gringoli, Universita degli Studi di Brescia
• Gangadharan G R, IDRBT, India
• Gustavo Marfia, Universita degli Studi di bologna
• Hai Jin, Huazhong University of Science and Technology
• Helen Karatza, Aristotle University of Thessaloniki
• Hui Lu, SUNY Binghamton
• Jiayin Wang, Montclair State University
• Johann M. Marquez Barja, University of Antwerp
• Jouni Ikonen, Lappeenranta University of Technology
• Lei Jiao, University of Oregon
• Luca Foschini, University of Bologna
• Luiz Felipe, UFMG
• Marco Ruffini, Trinity College Dublin
• Maria Fazio, University of Messina
• Matteo Pozza, University of Helsinki
• Mauro Tortonesi, University of Ferrara
• Mohamed Faten Zhani, Ecole de Technologie Superieure (ETS) Montreal
• Mohsen Amini, University of Louisiana at Lafayette
• Raghavendra, ISRO, India
• Rajkumar Buyya, University of Melbourne
• Rui Han, Chinese Academy of Sciences
• Satish Srirama, University of Tartu
• Sidi-Mohammed Senouci, Universita de Bourgogne
• Shuibin He, Wuhan University
• Stuart Clayman, University College London
• Sukhpal Singh Gill, The University of Melbourne
• Vana Kalogeraki, Athens Institute of Economics and Business
• Vincenzo Gulisano, Chalmers University of Technology
• Wafa Ben Jaballah, Cyber Security Lab, Advanced Studies
• Wan Du, UC Merced
• Xiaoyi Lu, Ohio State University
• Yanmin Zhu, Shanghai Jiao Tong University
• Yehia Elkhatib, Lancaster University
• Yue Cheng, George Mason University
• Yacine Ghamri-Doudane, ENSIIE, Evry
• Yanfei Guo, Argonne National Laboratory
• Yao Liu, SUNY Binghamton

6. Internet of Things (IoT)
Shahriar Nirjon, University of North Carolina-Chapel Hill, nirjon@cs.unc.edu
Wei Yu, Towson University, wyu@towson.edu

The Internet of Things (IoT) is considered as a key player in the network of the future, which can be used to support numerous smart-world systems. Every object in IoT can be seen as one component needed to be well connected. Numerous efforts are focusing on systems and protocols to build a powerful IoT.
However, partly due to the large variations on the "things" in the Internet, IoT is still in an initial state. IoT is generally characterized by limited computation and communication capacity, the presence of sensors in tiny objects, and the associated challenges, e.g., concerning security, energy efficiency, data caching, storage, and sharing. To address these, both theoretical and systems approaches are invaluable. In this track, we invite submissions of research works with novel contributions of either type.

Track Topics:

• Security and trustworthiness in IoT
• Secure operating environments for IoT
• Attack and defense strategies for IoT
• Energy-aware IoT hardware
• Energy-efficient IoT networking
• Power consumption and optimization in IoT
• Routing and control protocols
• Scalability and robustness for IoT
• Programming abstractions and middleware for IoT
• Cloud back-ends and resource management for IoT applications
• Edge and Fog computing in IoT
• Distributed storage, data fusion, and data sharing in IoT
• Sensor data management, mining and analytics in IoT
• Crowd-sensing, human centric sensing
• Mobile and pervasive applications built atop IoT
• IoT for smart grid, smart transportation, smart cities, and other smart-world applications
• Formal foundations and theories for IoT
• Green IoT: sustainable design and technologies
• Analytic foundations and theory of IoT
• Machine learning foundation and models for IoT and applications

TPC List:

• Burak Kantarci, University of Ottawa
• Honggang Wang, University of Massacusetts Dartmouth
• Houbing Song, Embry-Riddle Aeronautical University
• Sherali Zeadally, University of Kentucky
• Lei Chen, Georgia Southern University
• Guobin Xu, Frostburg State University
• Weixiao Liao, Towson University
• Yue Chao, Northumbria University
• Dou An, Xi'an Jiaotong University
• Yong Guan, Iowa State University
• Anyi Liu, Oakland University
• Hanlin Zhang, Qingdao University
• Xinwen Fu, University of Central Florida
• Melike Erol-Kantarci, University of Ottawa
• Zhen Ling, Southeast University
• Lucy Cherkasova, ARM Research
• Dong Wang, Notre Dame University
• Jie Lin, Xi'an Jiaotong University
• Mi Zhang, Michigan State University
• Liang He, University of Colorado Denver
• He Wang, Purdue University
• Linqiang Ge, Georgia Southwestern State University
• Robert LiKamWa, Arizona State University
• Mostafa Uddin, Nokia Bell Labs

7. Multimedia and Real-Time Networking (MRN)
Yunhuai Liu, Peking University, China, yunhuai.liu@pku.edu.cn
Cong Liu, UT Dallas, USA, cong@utdallas.edu

With the rapid deployment of all IP networks as well as the wide adoption of smart mobile devices, various modern multimedia applications such as movie on demand, video streaming and conference, and IPTV are offered over heterogeneous networks. The major challenge for those applications is to meet the high Quality of Service requirement for real-time content over limited bandwidth. Network traffic management technologies are critical to enable fair use of network resources among different types of traffic, while still achieving efficient and robust content delivery. This focuses track on the latest challenges, opportunities, and recent advances and developments in multimedia services and real-time networking. We seek original research contributions in various aspects of these fields, including, but not limited to the following topics.

Track Topics

• Real time multimedia systems
• Multimedia services, transport and sharing protocols
• Multimedia system for mobile and wireless networks
• Mobile multimedia services and location-based systems
• Cloud storage and computing
• Content/Information/Network-aware network design and optimization
• Network security for multimedia communication services
• Real-time network architectures and protocols
• Resource-constrained systems and mission critical applications
• Massive multiplayer online gaming
• Analysis and modeling of mobile and social media networks
• Network modeling, analysis, and simulation
• Internet measurement and modeling
• Real-time management for wired, wireless, ubiquitous, and hybrid networks
• AR/VR systems in mobile and wireless networks

TPC List:

• Kecheng Yang, Texas State University
• Hyoseung Kim, University of California at Riverside
• Zhishan Guo, University of Central Florida
• Dakai Zhu, University of Texas at San Antonio
• Yuqun Zhang, Southern University of Science and Technology
• Linghe Kong, Shanghai Jiaotong University
• Jing Li, New Jersey Institute of Technology
• Zheng Dong, UT-Dallas
• Jiliang Wang, Tsinghua University
• Zongqing Lu, Peking University
• Desheng Zhang, Rutgers University
• Shuai Wang, Southeast University
• Wei Jiang, UESTC
• Jinyu Zhan, UESTC

8. Security, Privacy, Trust and Incentives (SPTI)
Abderrahmane Lakas, United Arab Emirates University, UAE, alakas@uaeu.ac.ae
Javier Parra-Arnau, Rovira i Virgili University, Spain, javier.parra@urv.cat

The rapid development and increasing complexity of computer communication and networking systems has brought new challenges to trust, security, privacy, incentive technologies and measures. To meet the requirements of large scale, heterogeneous, software-defined, mobile, wireless, or distributed networks, we need to design protocols and build systems that can preserve trust, security and privacy, provide incentives for collaboration, and at the same time keep the quality of services. The 'Security, Privacy, Trust and Incentives' (SPTI) track of the 28th International Conference on Computer Communications and Networks (ICCCN), welcomes submissions of original papers from researchers and practitioners working in the fields of security, privacy, and trusted systems as well as incentive mechanisms. The track seeks novel contributions on algorithm and system design, implementation, and evaluations.

Track Topics of interest include but not limited to:

• Anonymization and privacy
• Cloud security
• Computer and network forensics
• Data and application security
• Information hiding and watermarking
• Incentives and game theory
• Internet security
• Private information retrieval
• Privacy-preserving trust management
• Security and privacy in social networks
• Security and privacy in parallel and distributed systems
• Security and privacy in mobile and wireless networks
• Security and privacy in grid/cloud/pervasive computing
• Security and privacy in software-defined networks
• Smart cards and secure hardware
• Trust and reputation models
• Vulnerability, exploitation tools, and virus/worm analysis

TPC List:

• Jagdish Achara, Ecole Polytechnique Federale de Lausanne
• Lukasz Olejnik, International Committee of the Red Cross
• Weizhi Meng, Technical University of Denmark
• Felix Gomez-Marmol, Universidad de Murcia
• Luis Urquiza-Aguiar, Escuela Politecnica Nacional
• David Sanchez-Ruenes, Universitat Rovira i Virgili
• Jose Estrada-Jimenez, Escuela Politecnica Nacional
• Ana Rodriguez-Hoyos, Escuela Politecnica Nacional
• Ruben Rios, Universidad de Malaga
• Jordi Soria-Comas, Universitat Rovira i Virgili
• Jordi Ribes-Gonzalez, Universitat Rovira i Virgili
• Jordi Forne, Universitat Politecnica de Catalunya
• Juan Caubet, Eurecat, Spain
• Long Cheng, Virginia Tech
• Vaibhav Rastogi, University of Wisconsin-Madison
• Azzedine Boukerche, University of Ottawa, Canada
• Nasreddine Lagraa, University of Laghouat, Algeria
• Ezedin Barka, UAE University, UAE
• Yacine Atif, University of Skovde, Sweden
• Abderrezak Rachedi, University Paris-Est Marne-la-Vallee, France
• Hongxin Hu, Clemson University
• Salim Bitam, University of Biskra, Algeria
• Zouheir Trabelsi UAE University, UAE
• Jinjun Chen, Swinburne University of Technology
• Fen ZHOU, University of Avignon, France
• OUBBATI Omar Sami, University of Laghouat, Algeria
• Muhammad Jaseemuddin, Ryerson University, Canada
• El-ghazali Talbi, University of Lille, France

9. Sensor/Embedded Networks and Pervasive Computing (SNPC)
Gang Zhou, College of William and Mary, gzhou@cs.wm.edu
Tauhidur Rahman, University of Massachusetts-Amherst, trahman@cs.umass.edu

The modern computing technologies are becoming increasingly pervasive and ubiquitous in every facet of our lives which is redefining how we use technology, how technology can augment our capabilities, and how technology can solve the most crucial problems of 21st century. The disruptive new innovations in the areas of Sensor/Embedded Networks and Pervasive Computing are at the core of this innovation cycle. This year, In ICCCN 2019, the Sensor/Embedded Networks and Pervasive Computing (SNPC) track seeks novel, innovative and exciting submissions broadly related to the sensor and embedded systems, sensor networks, mobile sensing, pervasive and ubiquitous computing.

Track Topics include (but are not limited to):

• Innovative hardware and software systems for sensing and sensor networks
• Innovative communication and networking technologies for embedded and/or wearable sensors
• New applications of sensing and networking technologies
• Design and implementation of mobile phone, wearable and/or novel embedded systems based computing platforms.
• Integration of multimodal data from different sensor streams.
• Novel signal processing or machine learning techniques for different pervasive and ubiquitous computing applications.
• Off-body, wireless and remote sensing.
• Energy and resource efficient implementation of mobile and embedded systems.

TPC List:

• Saeed Abdullah, Penn State University, USA
• Ashwin Ashok, Georgia State University, USA
• Zhichao Cao, Tsinghua University, China
• Haiming Chen, Ningbo University, China
• Daniel Graham, University of Virginia
• Song Han, University of Connecticut
• Tian Hao, IBM Research, USA
• Yuan He, Tsinghua University, China
• Suren Jayasuria, Arizona State University, USA
• Taeho Jung, University of Notre Dame, USA
• Sunghoon Ivan Lee, University of Massachusetts, Amherst
• Yantao Li, Chongqing University, China
• Shan Lin, Stony Brook University, USA
• Upal Mahbub, Qualcomm Research, USA
• Jun Luo, Nanyang Technological University, Singapore
• Chen Qian, University of California Santa Cruz, USA
• Kazuya Sakai, Tokyo Metropolitan University, Japan
• Muhammad Shahzad, North Carolina State University
• Bo Sheng, University of Massachusetts Boston, USA
• Rui Tan, Nanyang Technological University
• Jiliang Wang, Tsinghua University, China
• Shuangquan Wang, William and Mary, USA
• Jie Xiong, University of Massachusetts Amherst, USA
• Lei Yang, The Hong Kong Polytechnic University
• Mi Zhang, Michigan State University, USA
• Xiaolong Zheng, Beijing University of Posts & Telecom., China
• Xiaojun Zhu, Nanjing University of Aeronautics and Astronautics, China

10. Software Defined Networks and Network Virtualization Technologies (SDN/NFV)
Claudia Campolo, Universita Mediterranea di Reggio Calabria, Italy, claudia.campolo@unirc.it
Christian Esteve Rothenberg, University of Campinas, Brasil, chesteve@dca.fee.unicamp.br

Software-Defined Networking (SDN) and Network Function Virtualization (NFV) are key enablers of an unprecedented paradigm shift, which is impacting deeply Telecom and ICT industries and ultimately leads to their full convergence. By separating control and data planes and decoupling network functionalities from purpose-built equipment, the trend in network softwarization has the potential of efficiently handling heterogeneous resources, spanning networks and data center domains, and easily and flexibly deploying new services.
Software-Defined Infrastructures (SDI) are conducive to intriguing opportunities in novel network architectures, management frameworks, advanced networking and computing services, while raising outstanding challenges in security, scalability, reliability. Considered the game changer for the deployment of fifth-generation (5G) systems, SDN and NFV are expected to deliver end-to-end sliced softwarized infrastructures to dramatically transform vertical industries, such as automotive, energy, healthcare, city management, manufacturing.
This track is aimed to encourage fruitful discussion of core challenges and proposals towards the realization of SDN and NFV, both from theoretical and practical perspectives, welcoming work-in-progress as well as consolidated research results.

Track Topics

• Software-Defined Infrastructures (SDI)
• SDN/NFV architecture and implementation
• SDN/NFV standardization updates
• SDN/NFV orchestration and management frameworks
• SDN testing approaches
• SDN/NFV application scenarios (e.g., IoT, smart cities, automotive, industry 4.0)
• SDN/NFV enablers for fog/mobile edge computing
• SDN/NFV in 5G systems
• SDN/NFV enablers for network slicing
• SDN/NFV "as-a-Service" paradigms
• SDN/NFV in multi-domain scenarios
• SDN/NFV optimization algorithms
• SDN/NFV interplay with machine learning and artificial intelligence
• SDN/NFV modeling and performance analysis
• SDN/NFV security analysis and design
• SDN/NFV emulation/simulation/experimental platforms and testing approaches
• SDN/NFV pilots

TPC List:

• Baldomero Coll Perales, Universidad Miguel Hernandez de Elche, Spain
• M. Carmen Lucas-Estan, Universidad Miguel Hernandez de Elche, Spain
• Giuseppe Milotta, University Mediterranea of Reggio Calabria, Italy
• Sebastiano Milardo, MIT, USA
• Angelos Christos Anadiotis, Ecole Polytechnique Federale de Lausanne, Switzerland
• Chiara Lombardo, University of Genova, Italy
• Daniel Corujo, Universidade de Aveiro, Instituto de Telecomunicacoes, Portugal
• Ramon Fontes IFBA, Brazil
• Augusto Neto, Federal University of Rio Grande do Norte, Brazil
• Rafael Pasquini, Federal University of Uberlandia, Brazil
• Amina Boubendir, Orange Labs, Telecom ParisTech, France
• David Hausheer, OVGU Magdeburg, Germany
• Oliver Hohlfeld, RWTH Aachen University, Germany
• Fernando Kuipers, Fernando Kuipers, Netherlands
• Fernando Ramos, University of Lisbon, Portugal
• Elisa Rojas, University of Alcala, Spain
• Francesco Tusa, University College London, UK
• Javier Baliosian, Universidad de la Republica, Uruguay
• Gino Carrozzo, Nextworks, Italy
• Salvatore D'Oro, Northeastern University, Boston, USA
• Javier Rubio Loyola, CINVESTAV, Mexico
• David Moura, UNICAMP, Brazil
• Massimo Conoluci, Ericsson Research, Kista, Sweden

11. Social Networks and Computing (SNC)
Chaker Abdelaziz Kerrache, University of Ghardaia, Algeria, kr.abdelaziz@gmail.com
Anna Maria Vegni, Roma Tre University, Italy, annamaria.vegni@uniroma3.it

Recently, social network research has advanced rapidly, creating virtual communities that offer easier communication among different peers. The concept of social networks has been used in the context of information and communication technologies to provide efficient data exchange, sharing, and delivery services. In addition, understanding the social behavior and the interdependencies among mobile users, and their mobility patterns, can be helpful for such services.
Nowadays, apart in traditional Online Social Networks like Facebook, Twitter, Instagram, and so on, social networking is being applied to a plethora of new application scenarios. Indeed, not only humans can have social relationships. Social Internet of Things allows the creation of social ties among "things" such as Parental-Object Relationship, Co-Work-Object Relationship, Co-Location-Object Relationship, Ownership-Object Relationship, and so on. Moving to vehicular scenarios, social networking is integrated into vehicular ad hoc networks, thus forming Social Internet of Vehicles: vehicles build social relationships with other social objects they might come into contact, with the intent of creating an overlay social network to be exploited for information search and dissemination for vehicular applications. This year, at ICCCN, we will continue investigating on social networking with the track on Social Networks and Computing, and look to bringing together researchers in the area of applying computing to social networks. This track seeks original ideas and submissions and will follow the policies as per the main ICCCN conference policies.

Track Topics: The scope of this track includes, but not limited to:

• Mobile and socially-aware networks
• Community detection and community-based collaborative computing
• Sensing as part of social networks
• Big data and machine learning solutions for social networks
• Cloud-based social networks
• Security, privacy and trust and issues in social networks
• Novel architectures for social networks
• Big data analytics for social networks
• Crowdsourcing applications for social networks
• Social Internet of Things
• Social Internet of Vehicles
• Social-based energy harvesting in social networks
• Social-based resource identification, discovery, and profiling
• Social-based routing protocols and architectures

and any other relevant areas related to social networking and computing.

TPC List:

• De-Nian Yang (Institute of Information Science Academia Sinica, Taiwan)
• Liangmin Wang (Jiangsu University, Zhenjiang, China)
• Min Chen (Huazhong University of Science and Technology, China)
• Ezedin Barka (UAE University, UAE)
• Farhan Ahmad (University of Derby, United Kingdom)
• Rasheed Hussain (University of Innopolis, Russia)
• Peppino Fazio (University of Calabria, Italy)
• Jorge Herrera Tapia (Eloy Alfaro de Manabi University, Ecuador)
• Faycal Bouyakoub (University of Science and Technology Houari Boumediene, Algeria)
• Fatima Hussain (Ryerson University, Canada)
• Nasreddine Lagraa (University of Laghouat, Algeria)
• Nabil Benamar (Moulay Ismail University, Morocco)
• Valeria Loscri (INRIA Lille Nord-Europe, France)
• Giuseppe Ruggeri (Univ. Mediterranea of Reggio Calabria, Italy)
• Michele Nitti (Univ. Of Cagliari, Italy)
• Salim Bitam (University of Biskra, Algeria)
• Pietro Manzoni (Univ. Politecnica of Valencia, Spain)
• Abderrahim Benslimane (Universite d'Avignon et des Pays du Vaucluse, France)
• Kwang-Cheng (Univ. of South Florida, USA)

12. Wireless LAN, Ad Hoc, and Mesh Networks (WAM)
Keqiu Li, Tianjin University, China, keqiu@tju.edu.cn
Abusayeed Saifullah, Wayne State University, saifullah@wayne.edu

Wireless networks are now ubiquitous. Popular technologies such the 802.11 were the catalyst for the widespread use of wireless local area networks. Nomadic computing, home networks, and Wi-Fi services are now commonplace. The transition to multi-hop wireless networks has seemed natural for quite some time now, but still faces a number of challenges in its realization. Nonetheless, wireless networks have become important to a range of applications and systems. New communication technologies including ZigBee, Bluetooth Low Energy, etc. are extending the traditional wireless networks to an extended area by forming ad hoc networks. Numerous research efforts contributed systems and protocols for that purpose and lead to new, lower cost equipment, products, and services. At the same time, impromptu and on-demand formation of networks, often ephemeral, volatile, or highly mobile, got increased attention in the community, resulting in a large volume of novel schemes to basically revise networking.The increasing capabilities and the proliferation of wireless devices, and the increasing needs of their users raise new technical challenges. To address those, both theoretical and systems approaches are invaluable. In this track, we invite submissions with novel contributions of either type.

Track Topics: We are primarily interested in submissions of papers concerned with:

• Wireless local area networks
• Wireless mesh networks
• Mobile ad hoc networks
• Vehicular ad hoc networks
• Opportunistic and delay tolerant networks
• Home area networks
• Body area networks
• Low-power wide-area networks
• Smart Grid communication networks
• Wireless management networks in data centers

TPC List:

• Mainak Chatterjee, University of Central Florida
• Rui Zhang, University of Delaware
• Xiaochun Yang, Northeastern University, China
• Sriram Chellappan, University of South Florida
• Sanjay Madria, Missouri University of Science & Technology
• Simone Silvestri, University of Kentucky
• Mohammed Rahman, Tennessee Tech University
• Mo Sha, State University of New York, Binghampton
• Emiliano Sisini, University of Brescia
• Haibo Zhang, University of Otago
• Yusuf Sarwar, Bangladesh University of Engineering and Technology
• Wei Shao, RMIT University
• Yuanqing Zheng, Hong Kong Polytechnic University
• Zhenjiang Li, City University of Hong Kong
• Longfei Shangguan, Princeton University
• Panlong Yang, University of Science and Technology of China
• Zimu Zhou, ETH Zurich
• Hongzi Zhu, Shanghai Jiaotong University
• Wei Dong, Zhejiang University
• Deke Guo, National University of Defense Technology
• Lei Yang, Hong Kong Polytechnic University
• Li Lu, University of Electronic Science And Technology
• Jiliang Wang, Tsinghua University
• Xiaobo Zhou, Tianjing University
• Songtao Guo, Southwest University
• Xiaobing Wu, University of Canterbury
• Yuan Wu, Zhejiang University of Technology
• Cheng Wang, Tongji University
• Xiaoqi Tan, University of Toronto
• Jia Liu, Nanjing University
• Dian Zhang, Shenzhen University
• Hongwei Zhang, Iowa State University
• Tathagata Mukherjee, University of Alabama in Huntsville
• Sajal Das, Missouri University of Science & Technology

13. Hot Topics in Networking (HOT)
Syed Hassan Ahmed, Georgia Southern University, USA, sh.ahmed@ieee.org
Enrico Natalizio, Universite de Lorraine, France, enrico.natalizio@loria.fr

Track on Hot Topics in Networking will bring together researchers in ICT and computer networks arena to engage in a lively debate on the practice and theory of networking. Furthermore, this track will provide a venue for discussing innovative ideas and for debating future research agendas in the wide range of future computer networking topics. In addition to mature submission, in this track, we also encourage submissions of early-stage works that propose novel ideas with preliminary results, but may not be submitted to the other tracks that mostly focus on full fledge work. In addition, non-traditional and controversial papers that advocate new technologies, application areas, and research directions are also welcomed. All the submitted papers will be evaluated based on originality, technical merit, and innovation as well as their potential to stimulate interesting discussions and exchange of ideas.

Track Topics: The authors are expected to share their new ideas, latest findings and results on the following topics but not limited to:

• Mobile and wireless networking
• Robot and UAV Networks
• Knowledge-defined networking
• IoT networking and devices
• Internet of Intelligent Things
• Software Defined and Tactile Networks
• Information Centric Networking
• Fog networks
• Social networking
• Data center networking
• Network security and privacy
• Novel applications in networking
• Business perspective of applying Data Centric Approaches in Real-World Environment
• Future Internet in Vehicular Ad Hoc Networks
• Future Internet in Big Data
• Transport layer issues in Future Internet Architectures
• Multimedia Applications and Feasibility with Future Internet architectures
• Future Internet in Smart Cities
• Sensor and Ad hoc Networks

TPC List:

• Boubakr Nour, Beijing Institute of Technology
• Hakima Khelifi, Beijing Institute of Technology
• Muhammad Azfar Yaqub, Kyungpook National University
• Di Zhang, Zhengzhou University
• Hakima Chaouchi, Telecom & Management SudParis
• Muhammad Toaha Raza Khan, Kyungpook National University
• Eirini Tsiropoulou, University of New Mexico
• Marica Amadeo, University "Mediterranea" of Reggio Calabria
• Abdelmajid Khelil, Landshut University
• Michal Krol, University College London
• Ranjan Dasgupta, Tata Consultancy Services Limited
• Nicola Roberto Zema, LRI - ROCS, Universite Paris-Sud
• Nesrine Mahdoui, Universite de Technologie de Compiegne
• Arbia Riahi, Universite de Technologie de Compiegne