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CCGRID 2021 : Cluster Computing and the GridConference Series : Cluster Computing and the Grid | |||||||||||||||
Link: http://cloudbus.org/ccgrid2021 | |||||||||||||||
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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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