IEEE JCC 2024 Call For Papers

We cordially invite you to submit your original contributions to IEEE JCC2024 – the 15th IEEE International Conference on JointCloud Computing, which will take place in Shanghai, China on July 15-18, 2024. Please refer to the conference web page https://ieeejcc.com/ for more information.

In the AI era, the support of computing power, algorithms, and data plays a decisive role in advancing the development of large-scale foundation models. Cloud computing is renowned for its remarkable flexibility and scalability, making it an indispensable component of the infrastructure necessary for training these foundation models. The concept of joint-cloud, commonly known as joint-cloud computing (JCC), leverages cutting-edge communication and network technologies to achieve high-speed interconnectivity between data centers and various computing resources. JCC endeavors to establish a convenient resource access framework, standardize task scheduling, and create a sustainable operational model that caters to the specific requirements of large-scale basic model training and inference development. These efforts contribute significantly to the overall advancement of computing and networking infrastructure. However, the adoption of JCC introduces numerous technical challenges and complexities in establishing, overseeing, and managing multi-hybrid cloud environments. Additionally, the training of large foundation models hinges on the effective utilization of local computing resources and the integration of supercomputing resources, intelligent computing resources, and more. JCC encompasses a wide array of cloud paradigms, including but not limited to hybrid cloud, inter-cloud, multi-cloud, cloud federation, cross-cloud, cloud service brokerage, and the establishment of intelligent computing networks.

The theme of the IEEE JCC 2024 conference revolves around "Joint-Cloud Computing Meets Continual Learning." This conference primarily serves as a platform for scholars and practitioners to exchange innovative ideas and disseminate the latest research findings in the realm of collaborative cloud computing basic technologies. Furthermore, the conference places a strong emphasis on the pivotal role that these technologies play in supporting the training and inference processes of large-scale foundation models, as well as the construction of robust computing power networks. This includes the effective integration of local computing resources, supercomputing infrastructure, and intelligent computing resources. The overarching objective of the forum is to foster comprehensive discussions surrounding practical experiences and insights derived from real-world applications in the field.

The scope of JCC2024 includes, but is not limited to, the following topics:

•    Foundational theories and algorithms

•    Cloud computing for large foundation models

•    Cloud computing for continual learning

•    Inference and deployment for large foundation models

•    Connection between HPC and intelligent computing

•    The construction of computing networks

•    Cloud supervision and cloud governance

•    Cloud-based big data and AI applications

•    Cloud-Edge computing

•    Compute-continuum

•    Inter-cloud computing

•    Computing network convergence

•    Information-centric networking

•    Data center and network architectures

•    Security, privacy, and trust technologies

•    AI technologies for systems and systems for AI

•    Resource and scheduling technologies

•    Economics, Case studies, practices, and empirical evaluation

•    Deployment, management, and maintenance technologies

•    Performance, reliability and availability technologies

•    Interoperation and integration technologies

•    Migration and transformation of workloads

Submission Guidelines

All contributions should be original, not published elsewhere, or intended to be published during the review period. Papers must be written in English. All papers must be prepared in the IEEE double-column proceedings format. Please see the following link for details: http://www.ieee.org/conferences_events/conferences/publishing/templates.html.

Research papers are limited to 8 pages, and survey papers are limited to 10 pages, and experience/industry papers are limited to 6 pages, including references. JCC does NOT use double-anonymous reviews. Authors must submit their papers to the Easychair platform. Authors must submit their papers at: https://easychair.org/my/conference?conf=ieeejcc2024

All accepted papers will be published by the IEEE Computer Society Press (EI Index) and included in IEEE Digital Library. For publication, at least one author is required to register at the full rate and present the paper at the conference for the paper to be included in the final technical program and the IEEE Digital Library. Selected papers will be invited for extension and published in journals (SCI-Index), such as IEEE Transactions on Emerging Topics in Computational Intelligence.

Committees

General co-Chairs

• Professor Haibo Chen (haibochen@sjtu.edu.cn)
• Dr. Paul Townend (paul.townend@umu.se)

Program Committee

• Dr. Kele Xu (xukelele@nudt.edu.cn)
• Professor Victor Sanchez Anguix (vicsana1@upv.es)

Contact

All questions about submissions should be emailed to xukelele@nudt.edu.cn or vicsana1@upv.es.