Conveners
Distributed Computing. GRID & Cloud computing
- Andrei Tsaregorodtsev (CPPM-IN2P3-CNRS)
Distributed Computing. GRID & Cloud computing
- Tatiana Strizh (JINR)
Distributed Computing. GRID & Cloud computing
- Tatiana Strizh (JINR)
Dr
Tatiana Strizh
(JINR)
9/28/17, 11:30 AM
Sectional
The JINR grid infrastructure is a main component of the JINR Multifunctional Information and Computing Complex (MICC). There are two grid-sites: the Tier-1 for the CMS experiment at LHC and the Tier-2 which provides support to the virtual organizations (VOs) concerning the JINR participation in experiments at LHC (ATLAS, ALICE, CMS, LHCb), FAIR (CBM, PANDA), and other VOs (NICA, STAR, COMPASS,...
Dr
Alexei Klimentov
(Brookhaven National Lab)
9/28/17, 11:45 AM
Distributed Computing. GRID & Cloud Computing
Sectional
The Production and Distributed Analysis (PanDA) system was designed to meet the requirements for a workload management system (WMS) capable to operate at the LHC data processing scale. It has been used in the ATLAS experiment since 2005 and is now being part of the BigPanDA project expanding into a meta application, providing transparency of the data processing and workflow management for High...
Mr
Artem Petrosyan
(JINR)
9/28/17, 12:00 PM
Sectional
LHC Computing Grid was a pioneer integration effort, managed to unite computing and storage resources all over the world, thus made them available to experiments on Large Hadron Collider. During decade of LHC computing, Grid software has learned to effectively utilize different types of computing resources, such as classic computing clusters, clouds and hyper power computers. And while the...
Mr
Danila Oleynik
(JINR LIT)
9/28/17, 12:15 PM
Distributed Computing. GRID & Cloud Computing
Sectional
The Production and Distributed Analysis system (PanDA) has been used for workload management in the ATLAS Experiment for over a decade. It uses pilots to retrieve jobs from the PanDA server and execute them on worker nodes. While PanDA has been mostly used on Worldwide LHC Computing Grid (WLCG) resources for production operations, R&D work has been ongoing on cloud and HPC resources for many...
Mr
Fernando Barreiro Megino
(University of Texas at Arlington)
9/28/17, 12:30 PM
Distributed Computing. GRID & Cloud Computing
Sectional
PanDA is the workflow management system of the ATLAS experiment at the LHC and is responsible for generating, brokering and monitoring up to two million jobs per day across 150 computing centers in the Worldwide LHC Computing Grid. The PanDA core consists of several components deployed centrally on around 20 servers. The daily log volume is around 400GB per day. In certain cases,...
Mr
Petr Vokac
(Institute of Physics of the Czech Academy of Sciences)
9/28/17, 12:45 PM
Sectional
Today's physics experiments strongly rely on computing not only during
data taking periods, but huge amount of computing resources is necessary
later for offline data analysis to obtain precise physics measurements
out of the enormous amount of recorded raw data and Monte-Carlo
simulations. Large collaborations with members from many countries are
essential for successful research on...
Mr
Nikita Balashov
(JINR)
9/28/17, 2:30 PM
Sectional
One of the possible ways to speed up scientific research projects which JINR and organizations from its Member States participate in is to join computational resources. It can be done in a few ways one of which is to build distributed cloud infrastructures integrating local private clouds of JINR and organizations from its Member States. To implement such scenario a cloud bursting based...
Mr
Igor Pelevanyuk
(JINR)
9/28/17, 2:45 PM
Sectional
Multifunctional Information and Computing Complex(MICC) is one of the basic scientific facilities of Joint Institute for Nuclear Research. It provides a 24×7 implementation of a vast range of competitive research conducted at JINR at a global level. MICC consists of for major components: grid-infrastructure, central computing complex, JINR private cloud and high performance heterogeneous...
Oleg Samoylov
(JINR)
9/28/17, 3:00 PM
Distributed Computing. GRID & Cloud Computing
Sectional
NOvA is a large-scale neutrino experiment JINR takes part in in many directions including those connected to information technologies usage. A cloud resource was provided by the JINR computing center for the NOvA experiment within which a pool of virtual machines was deployed to provide local JINR users a way of using them in interactive mode giving the users ability to use this service for...
Mr
Nikita Balashov
(JINR)
9/28/17, 3:15 PM
Sectional
Clouds built on Infrastructure-as-a-Service (IaaS) model (such as JINR Cloud) gave us new universal and flexible tools and ways to use computing resources. These new tools may help scientists speed up their research work but at the cost of a significant drop (compared to the more traditional systems in science such as grid) of the overall utilization efficiency of an underlying infrastructure....
Prof.
Vladimir Dimitrov
(University of Sofia)
9/28/17, 3:30 PM
Sectional
JINR develops a cloud based on OpenNebula that is opened for integration with the clouds from the member states. The paper presents state of the 3 years project that aims to create a backbone of that cloud in Bulgaria. University of Sofia and INRNE participate in that initiative. This is a target project funded by JINR based on the research plan of the institute.
Mr
Ruslan Smeliansky
(ARCCN)
9/28/17, 3:45 PM
Research Data Infrastructures
Sectional
Modern research cloud infrastructures purposed to help researcher to prepare virtual environment that satisfy various specific requirements. The focus could be set on a network topology and providing different network functions (NAT, Firewall, IDS, vSwitch etc.) in order to provide testbed for network research, or a network device testing. Another focus could be set on compute resources...
Mr
Nicolai Iliuha
(RENAM)
9/28/17, 4:20 PM
Distributed Computing. GRID & Cloud Computing
Sectional
In the paper presented results of works focused on building of heterogeneous Cloud base scientific computing infrastructure. Main purpose of infrastructure is to provide for researchers a possibility to access ”on demand” a wide range of different types of resources, that can be physically located in local, federated and GEANT offering clouds. These resources include pure and customized...
Mr
andrey shevel
(PNPI, ITMO)
9/28/17, 4:40 PM
Distributed Computing. GRID & Cloud Computing
Sectional
University ITMO (ifmo.ru) is developing the cloud of geographically distributed data centers under Openstack. The term “geographically distributed” in our proposal means data centers (DC) located in different places far from each other by hundred or thousand kilometers. Authors follow the conception of “dark” DC, i.e the DC has to perform normal operation without permanent maintainers even...
Dr
Jingyan Shi
(INSTITUTE OF HIGH ENERGY PHYSICS, Chinese Academy of Science)
9/28/17, 4:55 PM
Computing for Large Scale Facilities (LHC, FAIR, NICA, SKA, PIC, XFEL, ELI, etc.)
Sectional
HTCondor, a scheduler focusing on high throughput computing has been more and more popular in high energy physics computing. The HTCondor cluster with more than 10,000 cpu cores running at computing center, institute of high energy physics in China, supports several HEP experiments, such as JUNO, BES, Atlas, Cms etc. The work nodes owned by the experiments are managed by HTCondor. A sharing...
