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CCGRID 2021 : Cluster Computing and the Grid


Conference Series : Cluster Computing and the Grid
When May 10, 2021 - May 13, 2021
Where Melbourne
Submission Deadline Dec 8, 2020
Notification Due Feb 8, 2021
Final Version Due Mar 3, 2021
Categories    cluster computing   cloud computing   internet computing

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

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