Call for Research Papers

Abstract Submission Deadline in:

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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.

We solicit original contributions on all aspects of distributed systems and applications in the context of Cluster, Cloud, and Internet computing environments. Submitted papers should be formatted using the IEEE two-column conference proceedings template, and are limited to 10 pages, excluding references. Authors of accepted papers may purchase up to two additional pages when prearing the camera ready version. Accepted papers will be published by IEEE Conference Publishing Services (CPS), and will be made online through the IEEE Xplore and ACM Digital Libraries.

New this year

In keeping with the best-practises in systems research, CCGrid is introducing several new changes this year. More details are given below.

  • CCGrid will be following a double-blind review process for the main research paper submissions. Authors should not reveal their identity in their submissions.
  • The page limit for submissions does NOT include the references.
  • CCGrid will also be soliciting code/data artifacts as optional supplemental material for accepted papers. These will be reviewed by an Artifact Evaluation committee, and those that pass will be awarded Reproducibility Badges.
  • 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. We expect all authors and attendees to repsect this.

All deadlines are in Anywhere on Earth (AoE), UTC-12 timezone.

  • Abstract Submission: Nov 25th December 5th, 2022, 11:59pm (CLOSED)

  • Paper Submission: Dec 2nd December 12th, 2022, 11:59pm (CLOSED)
  • Author Notifications: January 27th, 2023
  • Camera Ready Papers: March 17th, 2023
  • Conference Dates: May 1st – 4th, 2023

Ana-Lucia Varbanescu, University of Twente, The Netherlands (a.l.varbanescu@utwente.nl)

Pavan Balaji, Meta Platforms Inc, USA (pavanbalaji.work@gmail.com)

Topics of Interest

We solicit original 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 the ones listed below.

Track 1:

Hardware Systems and Networking (for Cluster, Cloud and Internet Computing)

Chair(s): Antonio Pena, Barcelona Supercomputing Center (BSC), Spain (antonio.pena@bsc.es)

  • Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge, Big Data platforms, distributed file systems, NoSQL databases, Data lakes, Data fabrics
  • Sustainable and Green Computing: Environment-friendly computing ecosystems. Power, cooling and thermal awareness.
  • Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. Software-Defined Network-enabled Systems.
  • Virtualized hardware: GPUs, tensor processing units, FPGAs and other accelerators;

Track 2:

Software Systems and Platforms (for Cluster, Cloud and Internet Computing)

Chairs:  Purushottam Kulkarni, Indian Institute of Technology (IIT) Bombay, India(puru@cse.iitb.ac.in)

Alexandru Iosup, Vrije University, The Netherlands (a.iosup@vu.nl)

  • Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems.
  • Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques;
  • Performance Modeling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance.
  • Energy-efficient software/applications. Policies, methods, and tools for Energy-efficient computing. Energy-efficiency evaluation methods, metrics, and tools. Energy consumption models.

Track 3:

ML for Systems, and Systems for ML

Chairs: Min Si, Meta Platforms Inc, USA, (minsi.atwork@gmail.com)

Kyle Chard, University of Chicago, USA (chard@uchicago.edu)

  • Techniques, platforms and systems for supporting Machine Learning and Artificial Intelligence applications
  • Artificial Intelligence: Large Scale Machine Learning, AI frontend and backend systems, AI at the Edge and in the Cloud, cognitive computing, federated learning
  • Machine learning/Deep Learning: statistical learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation;
  • Use of Machine Learning and Artificial Intelligence applications to enhance the performance of cluster, cloud and Internet-computing systems
  • ML/AI techniques for workload prediction, application scheduling, resource placement, resiliency, etc. in cluster, cloud and Internet-computing systems

Track 4:

Future Compute Continuum

Chairs: Guillaume Pierre, University of Rennes, France (guillaume.pierre@irisa.fr)

Maria Carla Calzarossa, University of Pavia, Italy (mcc@unipv.it)

  • Internet Computing Frontiers: Cloud, Edge, Fog, Serverless, Lambda, Streaming, Highly decentralized approaches to cloud computing, sensor data streaming and computation on the edges of the network, Backend as a Service (BaaS)
  • Future Internet: 5G/6G and Use cases of 5G/6G system. Software defined networking and 5G/6G. 5G/6G cyber security challenges and concerns Machine learning algorithms for 5G/6G systems.
  • Osmotic Computing: Cloud Continuum with Osmosis behaviors, Micro Services and MicroData, Functions as a Service (FaaS), Software Defined Membranes.
  • Cloud-Economics: Trustworthiness of services, ecosystem economics, innovative metering, accounting, billing methods and tools, automated trading and bidding support tools, performance monitoring, optimization, prediction, energy efficiency, sustainability, decision support systems.
  • Post- and Non-Von Neumann Computing: Neuromorphic computing; Quantum computing, Annealing-based quantum computing, hybrid quantum and classical computing; Approximate, probabilistic, and inexact computing; In-memory processing and memory-based computing; Emerging computing technologies, like analog computing, biologically-inspired computing, memristors.

Track 5:

Applications and Translation

Chair(s): David Abramson, The University of Queensland, Australia (david.abramson@uq.edu.au)

Swaroop S Pophale, Oak Ridge National Laboratory (ORNL), USA (pophaless@ornl.gov)

  • Data Science, Artificial Intelligence, Machine Learning, Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart Systems and Applications.
  • Digital Twins: Digital Twins and Industry 4.0. Digital Twins and emerging technologies linked to IoT Platforms, AR/VR.
  • Autonomous systems: Role of cluster, cloud and Internet computing to support robotics, self-driving cars, autonomous aerial vehicles, etc.
  • Applications for Cloud-to-Things continuum: Service provisioning and monitoring in a Cloud-to-Things environment; Resource elasticity in Cloud-to-Things contexts; Algorithms and systems for automated elasticity; Blockchain-based resource orchestrator; Machine learning techniques for resource orchestration; Security policies in Cloud-to-Things.
  • Cyber-Security, Privacy and Resilient Distributed Systems: Distributed Systems security and trust. Access control. Data privacy and integrity. Regulation. Resiliency of service attacks.
  • Enterprise applications for hybrid clouds, data regulatory and sovereignty concerns, data privacy, auditing and provenance.
  • AI Application domains: Social networks, healthcare, sustainability, transportation, commerce, neuroscience and cognitive science.

Best Paper Awards

CCGrid will present Best Paper Awards to the author(s) of top papers selected by the Program Committee. The award will be determined based on the reviewer comments and ratings, the technical and scientific merits, impact of the research, and the quality of the in-person presentation.

Conference Presentation

The conference will be held in person physically. At least one author of each accepted paper must register and present their work in-person at the conference. In case of exceptional circumstances such as COVID related restrictions, the option to present remotely will be provided.

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

  1. Open Research Objects (ORO)
  2. Research Objects Reviewed (ROR), for the accepted paper on IEEE Xplore.

Submission of the artifacts is optional, and will be solicited shortly after the research paper acceptance. More details will be posted soon.

Paper Submission Guidelines

Submission Portal
Authors may submit papers electronically through the EasyChair portal. Please select the appropriate track for your submission since multiple technical tracks may be open at the same time.

Page Limits, Formatting and Proceedings

  • Submitted manuscripts should be structured as technical papers and formatted using the IEEE two-column format for conference proceedings. Papers must be submitted as a PDF file.
  • Papers may not exceed 10 letter-size pages including the figures and tables. However, references are not considered in the 10-page limit.
  • Accepted papers will appear in the conference proceedings that will be published through IEEE Conference Publishing Services (CPS), and available online on IEEE Xplore and ACM Digital Libraries.
  • When submitting the final accepted manuscript, authors may purchase up to two additional pages beyond the original 10 pages to address comments received from the reviewers.
  • Papers that do not follow these guidelines will not be reviewed.

Author and Reviewer Anonymity

  • Starting this year, CCGrid will be following a double-blind review process for the main research paper track. Authors’ identities be anonymized to the reviewers, and likewise, reviewers’ identies will be hidden from the authors. Authors should make a good faith attempt not to reveal their identity in their submissions, either explicitly or implicitly.
  • In the submitted paper, author names and affiliations should be replaced by “Anonymous Author(s)” and “Submission ID” <EasyChair Paper ID>”.
  • You must not omit references to your own prior works that are relevant. However, references to your own past work need to be in a third-party form (e.g., instead of saying “in our past work [26] we had done …”, you can say “in [26], Chen et. al. had done …”). Similarly, if you extend your prior work, you may say, “This paper extends the prior work on ABCD by Chen et. al. by …”.
  • You may post pre-prints of submitted papers on a website like arXiv, but take care to have a different title from the submitted version.
  • Submissions violating the anonymization rules will not be reviewed. Is you have specific questions, please email the PC chairs.

Review Criteria and Conflicts

  • Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference.
  • All manuscripts will be reviewed and will be judged by the program committee members on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference attendees.
  • When submitting your papers, you must declare your conflicts of interest with the program committee members. Conflicts may be those PC members who are currently with the same institution as any of the authors, the advisor of an author, or thos with whom you have a project/publication/grant collaboration within the last 2 years.Conference Presentation
    CCGrid 2023 will be held physically in an in-person mode. At least one author of each accepted paper must register for the conference at the author registration rate and must present their work at the conference in the session the paper is assigned to. Any no-shows will cause the accepted paper to be withdrawn from the conference proceedings.
  • In case exceptional circumstances (e.g., COVID related restrictions), the option to present remotely may be provided. In such rare cases, please write to the PC Chairs.

IEEE/ACM CCGrid

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HOST STATE

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.

Authors and participants are encouraged to read the ACM Code of Ethics and Professional Conduct and the ACM Policy Against Harassment, and IEEE Computer Society's expectation of professional behavior found in the IEEE Computer Society Open Conference Statement, the IEEE Event Conduct and Safety Statement, and the IEEE Code of Ethics.