[agents] [CFP] INFOCOM 2022 workshop Intelligent Cloud Computing and Networking (ICCN)

Li Ruidong ruidongli at gmail.com
Thu Nov 25 04:05:13 EST 2021


 *** Please accept our apologies if you receive multiple copies of this CFP
***
INFOCOM 2022 Workshop on Intelligent Cloud Computing and Networking (ICCN)
Call for Papers
Organized in conjunction with IEEE International Conference on Computer
Communications (INFOCOM 2022), 2-5 May 2022
https://infocom2022.ieee-infocom.org/fourth-international-workshop-intelligent-cloud-computing-and-networking

*Keynote Speakers:*
1. Baochun Li, IEEE Fellow, University of Toronto, Canada
2. Honggang Wang, IEEE Fellow, UMass Dartmouth, USA

*Journal Special Issues:*
Selected papers will be recommended to the following special issues.
1. EURASIP Journal on Wireless Communications and Networking, Special Issue
on Intelligent Systems and Smart Network Computing for Commercial and
Industrial Internet of Things
https://jwcn-eurasipjournals.springeropen.com/smartnetworkiot
2. ITU Journal on Future and Evolving Technologies (ITU J-FET), Special
Issue on Future of networking beyond 2030
https://www.itu.int/en/journal/j-fet/2022/006/Pages/default.aspx

*Important Dates*
*Paper submission deadline: December 20, 2021*
Author notification: February 6, 2022
Camera ready: February 28, 2022

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. 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, the new
computation technologies, such as big data analytics, machine learning, and
blockchain, have great influence on the cloud and network. 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 Fourth International Workshop on Intelligent Cloud Computing and
Networking (ICCN-2022) is the evolution of the previous 7 editions CCSNA
(Cloud Computing Systems, Networks, and Applications) and further 3
editions ICCN 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. Researchers are encouraged
to submit original research contributions in all major areas, which
include, but not limited to:
• Cloud computing system and network design
• Cloud network protocol design and management
• Optimization for cloud computing, networking, and applications
• Green cloud system design
• Cloud storage design and networking
• Cloud system and storage security
• Cloud network virtualization techniques
• Modeling for cloud system, network and storage
• Performance analysis for cloud system, network and storage
• Big data storage and networking in the Clouds
• Intra-cloud computing and networking
• Mobile cloud system design
• Cloud media and storage design
• Real-time resource reporting and monitoring for cloud management
• Cloud system interoperability
• Cloud data center design
• Utility computing solutions in cloud systems
• Cloud forensics
• Networking for cloud computing
• Machine learning, data mining for cloud computing
• Edge, fog, and mobile edge computing
• Security, privacy, trust for cloud computing
• Machine learning for cloud resource management
• Machine learning for traffic engineering and congestion control
• Machine learning for network measurement
• Data-driven methodology and architecture
• Networking for machine learning systems
• Resource management and device placement for machine learning systems
• Measurement and diagnosis for machine learning systems.

Submission Procedure
Submitted papers must represent original material which is not currently
under review in any other conference or journal and has not been previously
published. Paper length should not exceed six-page standard IEEE conference
two-column format (including all text, figures, and references). Please see
the Author Information page for submission guidelines in the IEEE INFOCOM
2022. All submitted papers will go through a peer review process. All
accepted and presented papers will be included in the IEEE INFOCOM 2022
proceedings and IEEE Xplore. IEEE reserves the right to exclude an accepted
and registered but not presented paper from the IEEE digital library.
Please follow the submission link on https://www.edas.info/N29103 to submit
your paper.

Committee:
General Chairs:
Ruidong Li, Kanazawa University, Japan
Alfredo Grieco, Politecnico di Bari, Italy
Deze Zeng, China University of Geosciences, China

Technical Program Committee Chairs:
Ruiting Zhou, Wuhan University, China
Moayad Aloqaily, xAnalytics Inc., Ottawa, Canada
Zhi Zhou, Sun Yat-sen University, China

Keynote Chair:
Ka-Cheong Leung, Harbin Institute of Technology, Shenzhen, China

Publicity Chairs:
William Liu, Auckland University of Technology, New Zealand
Yuan Wu, University of Macau, China
Kezhi Wang, University of Northumbria, U.K.
Shengjie Xu, Dakota State University, USA

Steering Committee:
Jiannong Cao, The Hong Kong Polytechnic Univ, Hong Kong
Hitoshi Asaeda, NICT, Japan
Jie Wu, Temple University, USA
Xiaoming Fu, University of Gottingen, Germany
Chuan Heng Foh, University of Surrey, UK
Jie Li, Shanghai Jiao Tong University, China
Jinsong Wu, Universidad de Chile, Chile
Yaser Jararweh, Duquesne University, USA
Zongpeng Li, Wuhan University, China & University of Calgary, Canada
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