IEEE/ACM CCGRID 2023

November 30, 2022

IEEE/ACM CCGRID 2023
The 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
In conjunction with the 7th IEEE International Conference on Fog and Edge Computing (ICFEC 2023)

May 1-4, 2023
Bangalore, India
https://ccgrid2023.iisc.ac.in
The 23rd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023) is a leading forum to disseminate and discuss 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 and Edge Computing to support Internet of Things (IoT) and Big Data applications. The conference will feature keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2023 conference. The conference places special emphasis on all aspects of equity, diversity and inclusion in systems research. The conference will be held as an in-person event.

We, as the CCGrid community, are committed, both individually and collectively, to nurturing diversity and inclusion, sustaining a climate of mutual respect, and fostering a collaborative and supportive environment wherein everyone is empowered to succeed.

IMPORTANT DATES (AoE)

  • Abstract Submission: Dec 5, 2022 (Updated)
  • Research Paper Submission: Dec 12, 2022 (Updated)
  • Author Notifications;: Jan 27, 2023
  • Camera Ready: Mar 17, 2023

CALL FOR RESEARCH PAPERS AND ARTIFACTS

We solicit original unpublished research contributions on all aspects of distributed systems and applications in the context of Cluster, Cloud, and Internet computing environments. Topics of interest include but are not limited to:
  • HARDWARE SYSTEMS AND NETWORKING
    Storage and I/O Systems; Sustainable and Green Computing; and Architecture, Networking and Data Centers for Cluster, Cloud and Internet Computing.
  • SOFTWARE SYSTEMS AND PLATFORMS
    Programming Models and Runtime Systems; Resource Management and Scheduling; Performance Modeling and Evaluation; and Energy-efficient software/applications for Cluster, Cloud and Internet Computing.
  • ML FOR SYSTEMS AND SYSTEMS FOR ML
    Techniques, platforms and systems for supporting Machine Learning and Artificial Intelligence applications. Use of Machine Learning and Artificial Intelligence applications to enhance the performance of cluster, cloud and Internet-computing systems.
  • FUTURE COMPUTE CONTINUUM
    Internet Computing Frontiers: Cloud, Edge, Fog, Serverless; Future Internet: 5G/6G, SDN; Osmotic Computing; Cloud-Economics and Trustworthiness; Post- and Non-Von Neumann Computing, Quantum computing and Neuromorphic computing.
  • APPLICATIONS AND TRANSLATION
    AI/ML, Cyber-Physical Systems, e-Health, IoT, Digital Twins, Autonomous systems, Cyber-Security, Privacy, and Enterprise applications for Cluster, Cloud and Internet Computing; Applications for Cloud-to-Things continuum.

ARTIFACTS
Starting this year, CCGRID will be accepting code/data artifacts as supplemental material for accepted papers. These will be reviewed by an Artifact Evaluation committee, examining 1) if the artifacts are available and 2) if they are evaluated, and those that pass will be awarded Reproducibility Badges, specifically "Open Research Objects (ORO)" and "Research Objects Reviewed (ROR)" for the accepted paper on IEEE Xplore. Submission of the artifacts is optional, and will be solicited after the research paper acceptance. More details will be posted soon.

SUBMISSION WEBSITE
https://easychair.org/conferences/?conf=ccgrid2023

SPONSORED BY
IEEE Computer Society
IEEE Technical Community on Scalable Computing (TCSC)
IEEE Technical Community on Cloud Computing (TCCLD)
ACM Special Interest Group on Computer Architecture (SIGARCH)

ORGANIZATION COMMITTEE
GENERAL CHAIRS

  • Yogesh Simmhan, Indian Institute of Science (IISc), India
  • Ilkay Altintas, San Diego Supercomputer Center (SDSC), USA

PROGRAM COMMITTEE CHAIRS

  • Pavan Balaji, Meta Platforms Inc, USA
  • Ana-Lucia Varbanescu, University of Twente, The Netherlands