Introduction

The 24th IEEE/ACM International Symposium on Cluster, Cloud, and Internet Computing (CCGrid 2024) is a leading forum for disseminating and discussing research activities and results on a broad range of topics in distributed systems, ranging from computing Clusters to widely distributed clouds and emerging Internet computing paradigms, such as fog/edge computing for Internet of Things (IoT)/big data applications. The conference features keynotes, technical presentations, posters, workshops, and the SCALE challenge featuring live demonstrations.

Committee

Organizing Committee

General Chairs

Jie Wu, Temple University, USA
Kirk Cameron, Virginia Tech., USA

Program Chairs

Alexandru Iosup, Vrije Universiteit Amsterdam, Netherlands
Xubin He, Temple University, USA
Beth Plale, Indiana University, USA

Workshop Chairs

Mohsen Amini, University of Louisiana Lafayette, USA
Nitin Auluck, India Institute of Technology Ropar, India

Publicity Chairs

Avinash Srinivasan, US Navy Academy, USA
Antonino Galletta, University of Messina, Italy
Bahman Javadi, Western Sydney University, Australia
Xiong Wang, Huanzhong Univ. of Sci. and Tech., P.R. China

Travel Grants Chair

Tyler Allen, UNC Charlotte, USA

Website Chairs

Andrew Rosen, Temple University, USA
Xiuqi (Cindy) Li, Temple University, USA
Jesse Donkervliet, Vrije Universiteit Amsterdam, Netherland

Diversity and Inclusion Chairs

Gokcen Kestor, Pacific Northwest National Laboratory, USA
Nikoli Dryden, Lawrence Livermore National Laboratory, USA
Preeti Malakar, India Institute of Technology Kapur, India

Local Arrangement Chairs

Yan Wang, Temple University, USA
Rajorshi Biswas, Penn State University Berks, USA

Publication Chair

Dajin Wang, Montclair State University, USA
Abhinandan Prasad, National Institute of Engineering, Mysore, India

Finance Chair

Shuhui Yang, Purdue University Northwest, USA

Sponsorship Chair

Jian Li, FutureWei

Call for paper

Important date

2023-11-27
Abstract submission deadline
2023-12-04
Draft paper submission deadline
2024-01-12
Draft paper acceptance notification
2024-03-04
Final paper submission deadline

Paper Submission

Authors are invited to submit papers electronically. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference attendees.

Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers determined to be under active review elsewhere will be rejected without review. Submissions received after the due date, exceeding the length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information. The proceedings will be published through the IEEE Press, USA, and will be made available online through the IEEE and ACM Digital Libraries.

Submission Topics

The 24th IEEE/ACM International Symposium on Cluster, Cloud, and Internet Computing (CCGrid 2024) is a leading forum for disseminating and discussing research activities and results on a broad range of topics in distributed systems, ranging from computing Clusters to widely distributed clouds and emerging Internet computing paradigms, such as fog/edge computing for Internet of Things (IoT)/big data applications. The conference features keynotes, technical presentations, posters, workshops, and the SCALE challenge featuring live demonstrations. We solicit original contributions in all aspects of distributed systems and applications in the context of cluster, cloud, and Internet computing environments. Specific topics of interest include but are not limited to the following research tracks:

  • Track 1: Hardware Systems and Networking: Sustainable and green computing; architecture, networking of data centers; virtualized hardware (GPUs, tensor processing units, FPGAs); RISC V / Open hardware architectures, etc.
  • Track 2: Software Systems and Platforms: Service-oriented architectures; utility computing models; IaaS, PaaS, SaaS; programming models and runtime systems; resource management and scheduling; and energy-efficient software.
  • Track 3: Machine Learning (ML) for Systems and Systems for ML: Techniques, platforms, and systems for supporting machine learning and artificial intelligence applications; use of ML/AI applications to enhance the performance of cluster, cloud and Internet-computing systems; ML/AI techniques for workload prediction; application scheduling, resource placement, resilience in cluster, cloud and Internet-computing systems.
  • Track 4: Future Compute Continuum and Seamless Ecosystems: Internet computing frontiers; future Internet; osmotic computing; cloud-economics; post- and Non-Von Neumann computing; quantum computing.
  • Track 5: Applications and Workflows: Data science; machine learning and artificial intelligence applications; cyber-physical systems; e-Health; Internet of Things (IoT)-enabled smart systems and applications; workflows.
  • Track 6: Performance Monitoring, Modeling, Analysis, and Benchmarking: Performance models; monitoring and evaluation tools; analysis of system/application performance; performance benchmarking; visualization for system or application performance; cloud performance; edge performance; and cloud-native performance tools.
  • Track 7: Distributed and Parallel Storage Systems: storage and memory stack architecture; distributed and parallel storage; HW/SW co-design for storage systems; NVM storage; cloud storage; edge storage; storage- and memory-as-a-service; file and data management; key-value stores; CDNs; data privacy, integrity, and regulation; resilience of service attacks.
  • Track 8: Education about Cluster, Cloud and Internet Computing: curriculum, didactics, and technology developments for cluster, cloud, and Internet-scale computing; virtual laboratory; teaching parallel and distributed systems; teaching performance; teaching cloud, cluster, and Internet-scale technologies; sharing digital learning objects; sharing lab experiments; reproducing educational experiments; teaching methodology in cluster, cloud and Internet computing.

Guidlines

PAPER SUBMISSION

Authors are invited to submit papers electronically. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference attendees. Papers that meet the conference criteria for reproducibility will be awarded a reproducibility badge.
Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers determined to be under active review elsewhere will be rejected without review. Submissions received after the due date, exceeding the length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information. The proceedings will be published through the IEEE Press, USA, and will be made available online through the IEEE and ACM Digital Libraries.

IMPORTANT DATES

 Papers Due (Abstract): November 27, 2023
 Papers Due (Final): December 4, 2023
 Notification of Acceptance: February 12, 2024
 Camera Ready Papers Due: March 4, 2024
 Conference:  May 6-9, 2024
 

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Important Date
  • Conference Date

    May 06

    2024

    to

    May 09

    2024

  • Nov 27 2023

    Abstract Submission Deadline

  • Dec 04 2023

    Draft paper submission deadline

  • Jan 12 2024

    Draft Paper Acceptance Notification

  • Mar 04 2024

    Final Paper Deadline

  • May 16 2024

    Registration deadline

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