First IEEE International Conference on Meta Computing (ICMC)
June 20-23, 2024 Qingdao China

Over the past 60 years, computing paradigms have undergone significant developments, evolving from the original Client-Server model to newer ones such as Cloud Computing, IoT (Internet of Things), and Edge Computing. The development history of computing paradigms is also the development history of computing power, which is defined to be the amount of information that can be transmitted, processed, and stored by a system, as newer computing technologies have always been driven by the needs of novel applications that demand stronger computing power. Nowadays, emerging applications such as Web 3.0, Metaverse, and Industrial Internet put forward demands on next-generation computing technologies that can consolidate the networking resources to provide the desired quality of services, overcoming the increasingly serious computing power shortage problem.

Meta Computing was proposed to address the limitations faced by existing computing paradigms: 1) terminal-end IoT resources are not fully exploited; 2) there exist barriers to the integration of network-wide computing power; and 3) there is a lack of strong fault tolerance. It aims to utilize all available computing resources hooked on the Internet, provide efficient, fault-tolerant, smart, and personalized services with strong security and privacy guarantee, and virtualize the whole Internet as a giant computer, that is, ``Network-as-a-Computer, NaaC'', or ``Meta Computer'' for short, for any task or any person at any time on-demand. Meta computing possesses the following four functional characteristics: supporting zero-trust environments and fault-tolerance computing, integrating all available cloud-edge-terminal computing resources, constructing self-evolving and self-driving cyber-physical fusion, and configuring meta computers on-demand. To the emerging applications such as Web 3.0, Metaverse, and Industrial Internet, meta computing intends to turn the Internet into a distributed giant computing power pool to elastically fulfill the ever-increasing needs on computing power; it also refers to the integrated technologies that can offer trust-worthy, fault-tolerant, intelligent, and easy-to-use computing techniques that can support trusted data flow and sharing as well as smart cyber-physical fusion.

IEEE International Conference on Meta Computing (ICMC) solicits original submissions that present innovative research and development outcomes in the field of meta computing. Topics of interests are covered by the following tracks:

Track 1: Meta Computing Architectures and Systems
Meta computer architecture
Computational resource virtualization
Resource scheduling mechanism of meta computer
Computation-storage-communication integration
Decentralized storage system
Verifiable and Heterogeneous computation
Security and privacy of meta computing
Track 2: Cloud-Edge-Terminal Resource Consolidation and Intelligence in Meta Computing
Resource management and scheduling
Privacy protection
Integration of edge computing with terminals
Terminal computation
Large-scale data processing and storage
Data management and security
Collaborative decision
Network architecture and transmission
Real-time computation
Multimedia processing
Track 3: Blockchain, fault-tolerance, and Zero-trust Computing
Blockchain architectures and systems
Consensus and trust management
Security and privacy for blockchain
Fault-tolerant systems
Trusted data space
Data and blockchain integration
Zero-trust computing architectures and systems
Blockchain governance and regulatory
Track 4: Meta Computing for Web 3.0, DApp, Defi
Decentralized web infrastructure
Decentralized solutions for web identity and authentication
Decentralized solutions for digital asset management and ownership
Decentralized data storage and sharing
Smart contracts and decentralized applications (DApps) in Web 3.0
Interoperability and standardization in Web 3.0
Privacy and security in Web 3.0
Web 3.0 applications
Track 5: Meta Computing for Metaverse
Network architecture and system design for metaverse
Virtual reality, augmented reality, mixed reality, extended reality
Decentralized communications for metaverse
Privacy and security for metaverse
Interactions between cyber and physical spaces
Trusted network architecture for metaverse
Scalability and interoperability
Metaverse applications
Track 6: Meta Computing for Industrial Internet and Internet-of-Things
Industrial Internet of Things (IIoT) architecture and design principles
IIoT security and privacy
Big data analytics for IIoT
Edge and cloud computing for IIoT
IIoT applications
Intelligent control and automation in IIoT
Industrial wireless networks and communication protocols
Industrial Cyber-Physical Systems (ICPS) and Industry 4.0
Track 7: Emerging Technologies for Meta Computing
Large language model and multimodal LLM
Embodied intelligence
Quantum computing
Sustainable computing
Green computing
Vehicle, drone, satellite computing


Important Dates:
Full Paper Submission: April 1, 2024
Notification: May 15, 2024
Camera-ready Submission: June 1, 2024
Author registration: June 10, 2024

Proceedings of ICMC 2024:
Accepted papers will be published in IEEExplore Digital Library. Extended versions will be recommended to the Elsevier High-confidence Computing Journal with publication fees waived.

Submission Guidelines
Submission page: https://cmt3.research.microsoft.com/IEEEICMC2024

It is required that the manuscript follows the standard IEEE camera-ready format (double column, 10-pt font). The maximum length of ICMC paper without over-length charge is TEN (10) pages. The authors are allowed to pay for up to TWO (2) additional pages at $100 per over length page. Submitted papers may not have been previously published in or under consideration for publication by another journal or conference.

General Chair:
Xiuzhen Cheng, Shandong University, China
Xue Xiao, Inspur Cloud Information Technology Co., Ltd., China

Program Co-Chairs
Falko Dressler, TU Berlin, Germany
Mohsen Guizani, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI),
United Arab Emirates
Willy Susilo, University of Wollongong, Australia
Qun Li, William & Mary, USA

Publicity Co-Chairs:
Zhipeng Cai, Georgia State University, USA
Suparna De, University of Surrey, Guildford, United Kingdom
Yan Huang, Kennesaw State University, USA
Minghui Xu, Shandong University, China
Yanni Yang, Shandong University, China

Publication Chair:
Wei Li, Georgia State University, USA

Technical Program Committee:
Zhipeng Cai, Georgia State University, USA
Mihaela Cardei, Florida Atlantic University, USA
Quan Chen, Guangdong University of Technology, China
Songqing Chen, George Mason University, USA
Xiuzhen Cheng, Shandong University, China
Sriram Chellappan, University of South Florida, USA
Suparna De, University of Surrey, UK
Yingfei Dong, University of Hawaii, USA
Falko Dressler, TU Berlin University, Germany
Zhuojun Duan, James Madison University, USA
Xiaofeng Gao, Shanghai Jiao Tong University, China
Zaobo He, Miami University, USA
Chunqiang Hu, Chongqing University, China
Pengfei Hu, Shandong University, China
Qin Hu, Indiana University-Purdue University Indianapolis, USA
Yan Huo, Beijing Jiaotong University, China
Xiaohua Jia, City University of Hong Kong, China
Wonjun Lee, Korea University, Korea
Feng Li, Shandong University, China
Ruinian Li, Bowling Green State University, USA
Liran Ma, Texas Christian University, USA
Jian Mao, Beihang University, China
Akshita Maradapu Vera Venkata Sai, Towson University, USA
Tuo Shi, Harbin Institute of Technology, China
Madhuri Siddula, North Carolina A&T State University, USA
My T. Thai, University of Florida, USA
Yingjie Wang, Yantai University, China
Kuai Xu, Arizona State University, USA
Bowu Zhang, Marist College, USA
Xu Zheng, University of Science and Technology of China, China
Yifei Zou, Shandong University, China