IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2020)
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Submissions Due: 10 December 2019
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2020)
Melbourne, Victoria, Australia | May 11-14, 2020
Tremendous advances in processing, communication and systems/middle-ware technologies are leading to new paradigms and platforms for computing, 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. CCGrid is a series of very successful conferences, sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) and ACM, with the overarching goal of bringing together international researchers, developers, and users and to provide an international forum to present leading research activities and results on a broad range of topics related to these platforms and paradigms and their applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2020 conference.
In 2020, CCGrid will return to Melbourne, Australia, to celebrate its 20th anniversary. CCGrid 2020 will have a special focus on three important issues that are significantly influencing all aspects of Cluster, Cloud, and Internet computing: Adaptive Elastic Computing, Green Computing, and Cyber-Physical Computing. Topics of interest include, but are not limited to:
Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, etc.
More decentralized approaches to cloud computing. Edge/fog/mist 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. 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 and Privacy
Cloud security and trust. Access control. Data privacy and integrity. Regulation.
Sustainable and Green Computing
Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness.
Applications: Data Science, Artificial Intelligence, Cyber-Physical Systems, etc.
Applications to real and complex problems in science, engineering, business and society. User studies. Experiences with large-scale deployments systems and data science applications. Distributed AI/Machine Learning on the cloud. Data streaming analytics for intelligent transportation systems.
Chairs and Committees
General Chair:
Rajkumar Buyya, University of Melbourne and Manjrasoft Pty Ltd, Australia.
Program Committee Co-Chairs:
Carlos A Varela, RPI, USA
Laurent Lefevre, INRIA, France
