June 20-23, 2024 Qingdao China
http://meta-computing.info/
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
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