Description
This track will focus on the development of cloud infrastructures and on the use of cloud computing and virtualization technologies in large-scale (distributed) computing environments in science and technology. We solicit papers describing underlying virtualization and "cloud" technology including integration of accelerators and support for specific needs of AI/ML and DNN, scientific applications and case studies related to using such technology in large scale infrastructure as well as solutions overcoming challenges and leveraging opportunities in this setting. Of particular interest are results exploring the usability of virtualization and infrastructure clouds from the perspective of machine learning and other scientific applications, the performance, reliability and fault-tolerance of solutions used, and data management issues. Papers dealing with the cost, price, and cloud markets, with security and privacy, as well as portability and standards, are also most welcome.
Proxmox VE (PVE) is a light-weighted decentralized virtualization platform based on KVM and LXC. PVE is suitable for small and medium-sized data centers. We deployed a small PVE cluster combined with NVME-based Ceph cluster to evaluate PVE's reliability and robustness, and it has been operating stably for over a year since its launch. PVE And We also developed a simple management system to...
