The Internet of Everything (IoE) enables universal connectivity between people, process, data and things through wired or wireless networks. IoE includes People-to-People (P2P), People-to-Machine (P2M) and Machine-to-Machine (M2M) communications. Thus, it has been the backbone of smart-world systems. With an exceptional number of people and things being interconnected in IoE, the data sources and volumes exponentially increase and the process cooperating individual components becomes even sophisticated. This intensifies the heterogeneity, uncertainty and complexity of networking in IoE. Nonetheless, the fog/edge computing in IoE paves the way for big data and machine learning technology to tackle these issues and harness networking benefits. It is relatively novel to use big data and machine learning technology to mine and remember networking characteristics in IoE, and help develop proactive, reactive and predictive algorithms to improve network management, protocol design, service placement, threat detection, security assurance, etc.. The big data and machine learning technology is thus promising to support IoE with delivering successful process, which transmits legitimate data collected from proper things to target people in IoE to create great values across communities, academics, industries and governments. 

This workshop solicits papers in all aspects of big data and machine learning for networking. Topics of interest include, but are not limited to:

·      Data Mining and Big Data Analytics for IoT

·      Machine Learning for IoT

·      BD/ML for Energy Efficient System and Networking

·      BD/ML for Space/Air/Ground Networking

·      BD/ML for Blockchain-Enabled Networking

·      BD/ML for 5G Networking

·      BD/ML for M2M Networking

·      BD/ML for D2D Networking

·      BD/ML for Multimedia Networking

·      BD/ML for Fog/Edge/Cloud Networking

·      BD/ML for Data Center Networking

·      BD/ML for Storage Networking

·      BD/ML for Smart City Networking

·      BD/ML for Mobile Networking

·      BD/ML for Software Defined Networking

·      BD/ML for Network Management

·      BD/ML for Network Security, Privacy and Trust

·      BD/ML for Network Traffic Modeling and Prediction

·      BD/ML for Network Performance Assessment

·      BD/ML for Network Protocol Design and Optimization

·      BD/ML for Network Topology Design and Optimization

·      BD/ML for Network Architecture Design and Optimization

·      BD/ML for Network Scalability and Reliability

·      BD/ML for Network Service Placement

·      BD/ML for Network Virtualization and Automation

Submitted manuscripts must be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and must be submitted via Easychair (https://easychair.org/) as PDF files (formatted for 8.5×11-inch paper). The manuscripts should be no longer than 7 pages and no extra pages are permitted. Submitted papers cannot have been previously published in or be under consideration for publication in another journal or conference. The workshop Program Committee reserves the right to not review papers that either exceed the length specification or have been submitted or published elsewhere. Submissions must include a title, abstract, keywords, author(s), and affiliation(s) with postal and e-mail address(es).

Submitted papers will be reviewed by the workshop Program Committee and judged on originality, technical correctness, relevance, and quality of presentation. An accepted paper must be presented at the ICCCN 2023 venue by one of the authors registered at the full registration rate. Each workshop registration covers up to two workshop papers by an author. Accepted and presented papers will be published in the ICCCN proceedings. 

• Authors declare that the submission is original and has not been submitted to other venues or under consideration by other venues.

• Paper titles and/or author names cannot be changed and/or added to the papers once papers are submitted to ICCCN 2023 for review and in the final camera-ready manuscript.

• If the paper is accepted, at least one of the authors must register at full rate and present it in person at the conference. Accepted and paid paper(s) but not presented onsite by the registered author(s) (for any reason, including visa issues, travel problems, etc.) will be published in the conference proceedings only. We strongly encourage that all authors of accepted papers apply for an entry visa to USA in case one author cannot get the entry visa.

• Paper submission deadline: April 14, 2023

• Notification of acceptance: April 25, 2023 (Hard Deadline)

• Camera-ready paper due: May 4, 2023 (Hard Deadline)

• Workshop date: July 27, 2023

• Hanlin Zhang, Qingdao University, China

• Yalong Wu, University of Houston-Clear Lake, USA

• Liuwang Kang, University of Virginia, USA

• Jie Lin, Xi'an Jiaotong University, China

• Jie Lian, Shanghai Normal University, China

• Xinying Liu, University of Houston-Clear Lake, USA

• Zengpeng Li, Shandong University, China

• Sriharsha Mallapuram, Plymouth State University, USA

• Qianqian Su, Qingdao University, China

• Pu Tian, Stockton University, USA

• Yuehan Yin, La Salle University, USA

• Kuangyu Zheng, Beihang University, China