Conveners
Infrastructure Clouds and Virtualisation Session: I
- There are no conveners in this block
Infrastructure Clouds and Virtualisation Session: II
- Tomoaki Nakamura (KEK)
Infrastructure Clouds and Virtualisation Session: III
- Tomoaki Nakamura (KEK)
Dr
Steven Newhouse
(EMBL-EBI)
, Dr
Susheel Varma
(EMBL-EBI)
27/08/2020, 16:00
Infrastructure Clouds and Virtualisation
Oral Presentation
Currently, patient data is geographically dispersed, difficult to access, and often stored in siloed project-specific databases preventing large-scale data aggregation, standardisation, integration/harmonisation and advanced disease modelling. The ELIXIR Cloud and Authentication & Authorisation Infrastructure (AAI) for Human Data Communities project aims to leverage a coordinated network of...
Dr
Alberto Masoni
(INFN National Institute of Nuclear Physics)
27/08/2020, 16:30
Infrastructure Clouds and Virtualisation
Oral Presentation
CAGLIARI 2020 is a 25 million euro project funded within the framework of the National Operational Program for Research and competitiveness of the Italian Ministry of Education University and Research.
The Project exploits the FAIR concept of Findable, Accessible, Interoperable and Re-usable data in the context of Smart Cities applications within a cloud computing approach. A relevant part...
Ms
Lenka Svetlovská
(CESNET)
27/08/2020, 17:00
Infrastructure Clouds and Virtualisation
Oral Presentation
Large-scale HTC infrastructures, such as the grid and cloud infrastructure operated by the European Grid Initiative (EGI), require a comprehensive accounting tool to keep track of resource use at different cooperating resource sites. Traditionally the accounting process has been strictly job-centric. Indeed, only running grid jobs were consuming resources. However, the emerging cloud computing...
Dr
Fabio Viola
(INFN-CNAF)
28/08/2020, 09:00
Infrastructure Clouds and Virtualisation
Oral Presentation
Predictive maintenance is emerging as a new trend in research, due to its advantages compared to the alternative methodologies of corrective and preventive maintenance. The ability to predict faults and intervene before they occurs, allows saving money in a wide set of application domains, among which management of data centers. Savings are usually directly proportional to the size of the...
Mr
Hiroshi Yoshida
(National Institute of Informatics)
28/08/2020, 09:30
Infrastructure Clouds and Virtualisation
Oral Presentation
Currently major cloud providers provide cold storage services as a part of their public IaaS offerings, targeting users who need to store data with relatively low access frequency for long periods. The adoption of cold storage services should be considered in order to reduce the total cost of ownership and the labor of storage management of maintaining large amounts of scientific research data...
Prof.
Frank Wuerthwein
(UCSD/SDSC)
28/08/2020, 10:00
Infrastructure Clouds and Virtualisation
Oral Presentation
In Fall 2019, we performed the largest possible GPU burst across multiple commercial cloud providers, and all of their relevant regions. The goal of our NSF funded EAGER award (NSF OAC 1941481) was to achieve a scale of 80,000 V100 equivalent GPUs to process photon propagation simulations for the IceCube Neutrino Observatory for one hour, thus achieving fp32 Exaflop scale. Since then, we...
Daniele Cesini
(INFN-CNAF)
, Prof.
Davide Salomoni
(INFN)
28/08/2020, 10:50
Infrastructure Clouds and Virtualisation
Oral Presentation
In the past year, INFN has been actively working on several projects that involve close collaborations between research and industry. In these collaborations, industries typically bring in complex use cases that involve data collection from heterogeneous sources, often originated by many distributed sensors, while INFN works together with them to define proper architectures to handle these use...
Prof.
Chris PANG
(Nanyang Polytechnic, Singapore)
, Prof.
Kok Hong CHAN
(Nanyang Polytechnic)
28/08/2020, 11:20
Infrastructure Clouds and Virtualisation
Oral Presentation
This study explores Artificial Intelligence as a service (AI-aaS) from two perspectives. The first is to develop a system that can provide educational researchers and practitioners alike ready access to AI algorithms and services across an entire school. The second is to leverage, and then evaluate the use of AI-aaS to support AI-driven assessment, paying particular attention to its...
Dr
Kenyi Hurtado Anampa
(University of Notre Dame)
28/08/2020, 11:50
Infrastructure Clouds and Virtualisation
Oral Presentation
High Performance Computing (HPC) facilities provide vast computational power and storage, but generally work on fixed environments designed to address the most common software needs locally, making it challenging for users to bring their own software. To overcome this issue, most HPC facilities have added support for HPC friendly container technologies such as Shifter, Singularity, or...
