Call for Papers
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.
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.
CCGRID 2024 will follow a double-blind review process for the main research paper submissions. Authors should not reveal their identities in their submissions.
CCGRID 2024 will also solicit code/data artifacts as optional supplemental material for accepted papers. These will be reviewed by an Artifact Evaluation Committee.
Having a paper on a preprint server (arXiv) does not prevent an author from submitting a paper to CCGrid 2024. Preprints are not peer-reviewed and not considered archival publications, hence do not count as prior work. Reviewers are expected to compare against arXiv papers that have not formally appeared in peer reviewed journals or conference proceedings. If a submitted paper has a publicly available pre-print version, authors are encouraged to use preventive measures to reduce the chances of accidental breach of anonymity (e.g., use a different title in the submission, not upload/revise the arXiv version during the review period after the submission deadline).
IEEE CCGrid 2024 is an in-person conference with the purpose of presenting and discussing accepted research papers. As such each paper will be presented by one of the registered authors at the conference in person. Exception may be granted due to visa issues subject to prior approval by the program committee.
For all papers, IEEE reserves the right to exclude a paper from distribution after the conference (e.g., removal from IEEE Xplore) if the paper is not presented at the conference.
Please use the following Easychair link to submit your paper(s): https://easychair.org/conferences/?conf=ccgrid2024
|Papers Due (Abstract):|
|Papers Due (Final):|
|Notification of Acceptance:||February 12, 2024|
|Camera Ready Papers Due:||March 4, 2024|
|Conference:||May 6-9, 2024|
Jie Wu, Temple University, USA
Kirk Cameron, Virginia Tech, USA
Program Committee Co-Chairs
Alexandru Iosup, Vrije Universiteit Amsterdam, Netherlands
Xubin He, Temple University, USA
Beth Plale, Indiana University, USA
Mohsen Amini, University of North Texas, USA
Nitin Auluck, Indian Institute of Technology Ropar, India