The wide adoption of Cloud Computing architectures for utility computing, big-data solutions, Service-Oriented Architectures (SOA) and highly scalable and resilient commodity hardware, have allowed the developers and consumers to access a wide range of services and computational resources through a pay-per-use model.
Moreover, the ever increasing need to consume and the associated need for assuring services in larger and larger scale are forcing the providers to optimize resources efficiently in order to meet the web-scale demand of current computing landscape.
The computing, management and programming models have to evolve to address the complexity and the resulting tool fatigue in current distributed data centers. Novel unified computing theories and implementations are required to address the resiliency and efficiency of global web-scale services creation, delivery and assurance.
One of the main problems is that the current generation virtualization technologies cannot scale in a distributed environment where multiple owners provide infrastructure that is heterogeneous and is evolving rapidly. As a consequence, new architectures focusing on intelligent services deployed using dumb infrastructure on fat and stupid pipes must evolve.
Traditional grid computing elements, frameworks, middlewares, and computing models used by scientists and business analysists need to be integrated into a unified computing framework.This Conference, having successfully demonstrated in the past a path to self-managing workloads in multi-cloud infrastructures, is focusing now on high-performance and low-latency edge clouds bringing computing closer to the data sources and consumers.
The goal of CDCGM is to attract young researchers, Ph.D. students, practitioners, and business leaders to bring contributions in the area of distributed Clouds, Grid and their management, especially in the developments of computing, management and programming models, technologies, framework and middleware.
Since the inception of CDCGM track in 2009, participants have contributed to new computing models and demonstrated many applications of emerging technologies to improve the resiliency, scalability and efficiency of information processing and networking systems.
The new decade promises more advances in our understanding of post-Church-Turing thesis computing, application of distributed self-managing edge clouds, and a path toward strong AI that goes beyond deep learning. The 2021 CDCGM track provides an opportunity to present your contributions and shape the future of IT as we know it.