Conveners
Infrastructure Clouds and Virtualisations - III
- Tomoaki Nakamura (KEK)
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.
The ability to ingest, process, and analyze large datasets within minimal timeframes is a cornerstone of modern big data applications. In High Energy Physics (HEP), this need becomes increasingly critical as the upcoming High-Luminosity phase of the LHC at CERN is expected to produce data volumes approaching 100 PB per year. Recent advancements in resource management and open-source computing...
The National Institute for Nuclear Physics (INFN) manages the INFN Cloud, a federated cloud platform offering a customizable portfolio of IaaS, PaaS, and SaaS services tailored to the needs of the scientific communities it supports. The PaaS services are defined through an Infrastructure as Code approach, combining TOSCA templates to model application stacks, Ansible roles for automated...
An heterogeneous data management and analytics platform has been deployed over the years at INFN-CNAF in Bologna, with the goal to support both system administrators and user-support teams in monitoring, diagnostics, and operational decision-making across the data center, that serves multiple particle and astroparticle experiments (and beyond) in Italy and internationally. The platform is...
