CCGrid 2021 : IEEE International Symposium on Cluster Computing and the Grid

  in Conferences   Posted on August 17, 2020

Conference Information

Submission Deadline Tuesday 08 Dec 2020 Proceedings indexed by :
Conference Dates May 10, 2021 - May 13, 2021
Conference Address Melbourne, Australia
Conference & Submission Link http://cloudbus.org/ccgrid2021/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 134
Category Rankings
Web, Mobile & Multimedia Technologies 24
Networks and Communications 32
Number of Editions: 21 ( since 2001 )
CORE 2018 Rating: A
DBPL Proceedings

Google Scholar H5-index:
28

Conference Call for Papers

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 !

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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