About

The 23rd 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 for Internet of Things (IoT) and Big Data applications. The conference will feature keynotes, technical presentations, posters, workshops, student symposium, industry interactions, the SCALE Challenge, and the co-located ICFEC conference.

CCGrid will act with responsibility as its primary consideration, with Equity, Diversity, and Inclusion as central goals. 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.

Call for Contributions

Call for Research Papers

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:

    Track 1: Hardware Systems and Networking (for Cluster, Cloud and Internet Computing)
  • 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)
  • 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
  • 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
  • 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
  • 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.


Submission Guidelines

Authors are invited to submit papers electronically through the following link to be posted shortly.

  • Page limits: Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures and tables using the IEEE format for conference proceedings. However, references are not considered in the 10-page limit.
  • Author and reviewer anonymity: Starting this year, CCGRID will be following a double-blind review process. All submissions need to be double-blind. Authors should not reveal their identity in their submissions. All references to 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 …”).
  • Review criteria: 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 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.
  • Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the conference program chairs for more information.
  • The proceedings will be published through the IEEE Press, USA and will be made online through the IEEE and ACM Digital Libraries.
  • When submitting the final accepted manuscript, authors may purchase up to two additional pages beyond the original 10 pages (excluding references) to address comments received from the reviewers.


Best Paper Awards

CCGrid will present Best Paper Awards to the top paper(s) selected by the Program Committee. The award will be determined based on review comments and ratings, viewpoints of the technical and scientific merits, impact of the research work on the science and engineering, and the clarity of presentation.


Conference Presentation

Conference will be in person physically. At least one author of each accepted paper must 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.

Call for Workshop Proposals

Call for Research Posters

Coming soon!

Call for Early Career and Students' Showcase

Coming soon!

Call for SCALE Challenge Submissions

Coming soon!

Important Dates

Important Dates

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

Research Paper Submissions

  • Abstract Submission: November 25th, 2022, 11:59pm
  • Paper Submission: December 2nd, 2022, 11:59pm
  • Author Notifications: January 27th, 2023
  • Camera Ready Papers: March 17th, 2023
  • Conference Dates: May 1st — 4th, 2023

Workshop Proposal Submissions

  • Deadline for Workshop Proposals: October 21st, 2022
  • Workshop acceptance Notification: November 15th, 2022

Posters, Student Showcase and SCALE Challenge (tentative)

  • Paper Submission: January 6th, 2023
  • Acceptance notification: February 10th, 2023
  • Camera ready submission: March 17th, 2023.

Sponsors

Sponsored By (Pending)

  • IEEE Computer Society/Technical Committee on Scalable Computing (TCSC)
  • IEEE Computer Society/Technical Committee on Cloud Computing (TCCLD)
  • ACM SIGHPC
  • ACM SIGARCH