活动简介

The CCGrid symposium series serves as a major international forum for presenting and sharing recent research accomplishments and technological developments in the field of Cluster, Cloud and Internet computing.

The first CCGrid Conference started in Brisbane, Australia, in 2001. Since then, the conference has successfully been hosted around the world. Returning back to its originating country, the 21th International conference is going to be held in Melbourne, Australia.

Sponsor Type:1; 9

组委会

General Co-Chairs:
Rajkumar Buyya, University of Melbourne, Australia
Gul Agha, University of Illinois at Urbana-Champaign, USA

Program Committee Co-Chairs:
Laurent Lefevre, INRIA, France
Stacy Patterson, RPI, USA
Young Choon Lee, Macquarie University, Australia

Finance Chair:
Shashikant Ilager, The University of Melbourne, Australia

Cyber Chair :
Mohammad Goudarzi, The University of Melbourne, Australia

征稿信息

重要日期

2020-12-15
初稿截稿日期
2021-02-08
初稿录用日期

The 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021) 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/Edge Computing for Internet of Things (IoT)/Big Data applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2021 conference.

In 2021, IEEE/ACM CCGrid 2021 will be ‘self-colocated’ with its postponed 2020 edition, in Melbourne, Australia. We will jointly celebrate the 20th and 21st anniversary of the conference !

征稿范围

We solicit original contributions on 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:

·Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming
Highly decentralized approaches to cloud computing. Edge/Fog computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing.

·Architecture, Networking, Data Centers
Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Software-Defined Network-enabled Systems. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs.

·Storage and I/O Systems
Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge.

·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 Modelling and Evaluation
Performance models. Monitoring and evaluation tools. Analysis of system/application performance.

·Cyber-Security, Privacy and Resilient Distributed Systems
Distributed Systems security and trust. Access control. Data privacy and integrity. Regulation. Resiliency of service attacks.

·Sustainable and Green Computing
Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness.

·Applications
Data Science, Artificial Intelligence, Machine Learning, Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart Systems and Applications.

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重要日期
  • 会议日期

    05月10日

    2021

    05月13日

    2021

  • 12月15日 2020

    初稿截稿日期

  • 02月08日 2021

    初稿录用通知日期

  • 05月13日 2021

    注册截止日期

主办单位
Association for Computing Machinery Special Interest Group on Computer Architecture - ACM SIGARCH IEEE Computer Society
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