HEPiX Spring 2017 Workshop

Session

Grids, clouds, virtualisation

27 Apr 2017, 09:00

Hungarian Academy of Sciences

5. The Computing Resource Information Catalog

Alessandro Di Girolamo (CERN)

27/04/2017, 09:00

Grid, Cloud & Virtualisation

This contribution describes the CRIC (Computing Resource Information Catalog) framework which is designed to describe the topology of the Experiments computing models, providing unified description of resources and services used by Experiments applications

The Worldwide LHC Computing Grid infrastructure links about 200 participating computing centers affiliated with several partner projects....

46. ElastiCluster - automated deployment and scaling of computing and storage clusters on IaaS cloud infrastructures

Riccardo Murri

27/04/2017, 09:25

Grid, Cloud & Virtualisation

[ElastiCluster][1] is a command-line application (and a Python API) to deploy, configure, and resize various types of computational clusters on Infrastructure-as-a-Service clouds. Currently supported is the deployment of SLURM/GridEngine/TORQUE batch clusters, Spark/Hadoop systems (with Hive and HDFS), and various types of distributed filesystems (GlusterFS, OrangeFS, Ceph) on OpenStack,...

35. CERN Cloud service update: Containers, migrations, upgrades, etc.

Luis Pigueiras (CERN)

27/04/2017, 09:50

Grid, Cloud & Virtualisation

We'll give an update on the status of our cloud, focusing in the features recently added with special attention over containers.

54. Container Orchestration - Simplifing Use of Public Clouds

Ian Collier (STFC - Rutherford Appleton Lab. (GB))

27/04/2017, 10:15

Grid, Cloud & Virtualisation

One obstacle to effective and efficient exploitation of public cloud resources is the work required to accomodate their different APIs. Observing that many public clouds offer varying degrees of support for container orchestration using Kubernetes, we present the results of practical experiments involving several large public cloud providers.
We also present a brief update on container...

17. System testing service developments using Docker and Kubernetes: EOS + CTA use case

Julien Leduc (CERN)

27/04/2017, 11:15

Grid, Cloud & Virtualisation

The IT Storage group at CERN develops the software responsible for archiving to tape the custodial copy of the physics data generated by the LHC experiments. This software is code named CTA (the CERN Tape Archive).
It needs to be seamlessly integrated with EOS, which has become the de facto disk storage system provided by the IT Storage group for physics data.

CTA and EOS integration...

57. Distributed computing in IHEP

Xiaomei Zhang (Chinese Academy of Sciences (CN))

27/04/2017, 11:40

Grid, Cloud & Virtualisation

IHEP distributed computing was built based on DIRAC in 2012 and started operations in 2014 to meet peek needs of the BESIII experiment. As more new experiments (JUNO, LHAASO, CEPC, etc) with challenging data volume are coming into operations or are planned in IHEP, the system has been progressively developed into a common platform to support multi experiments in one instance. In this platform,...

24. Understanding performance: optimisation activities in WLCG

Andrey Kiryanov (Petersburg Nuclear Physics Institute, National Research Center "Kurchatov Institute"), Andrea Sciaba (CERN)

27/04/2017, 12:05

Grid, Cloud & Virtualisation

The LHC Run4 phase, also known as HL-LHC, is scheduled to start in mid 2026 and it will impose formidable challenges to the capability of processing and storing data according to the planned data acquisition rates. A tenfold increase in recorded event rates for ATLAS and CMS and a threefold increase in event pile-up will require an amount of computational power and storage far in excess of...