HEPiX Spring 2016 Workshop

Session

Grids, clouds, virtualisation

19 Apr 2016, 11:00

Seminar room 3 (DESY Zeuthen)

Conveners

Grids, clouds, virtualisation: Grids, clouds, virtualisation

• Ian Peter Collier (STFC - Rutherford Appleton Lab. (GB))
• Brian Paul Bockelman (University of Nebraska (US))

Grids, clouds, virtualisation

• Ian Peter Collier (STFC - Rutherford Appleton Lab. (GB))
• Brian Paul Bockelman (University of Nebraska (US))

Grids, clouds, virtualisation: Grids, clouds, virtualisation

• Ian Peter Collier (STFC - Rutherford Appleton Lab. (GB))
• Brian Paul Bockelman (University of Nebraska (US))

9. CERN Cloud Status Update

Arne Wiebalck (CERN)

19/04/2016, 11:00

Grid, Cloud & Virtualisation

We'll give an update on the status of our cloud, highlighting some of the recently added features (such as federation or container support).

27. Deploying services with Mesos at a WLCG Tier 1

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

19/04/2016, 11:25

Grid, Cloud & Virtualisation

Container orchestration is rapidly emerging as a means of gaining many potential benefits compared to a traditional static infrastructure, such as increased resource utilisation through multi-tenancy, the ability to handle changing loads due to elasticity, and improved availability as a result of self-healing. Whilst many large organisations are using this technology, in some cases for many...

39. Fermilab HEP Cloud: an elastic computing facility for High Energy Physics.

Anthony Tiradani (Fermilab)

19/04/2016, 11:50

Grid, Cloud & Virtualisation

The need for computing in the HEP community follows cycles of peaks and valleys mainly driven by holiday schedules, conference dates and other factors. Because of this, the classical method of provisioning these resources at providing facilities has drawbacks such as potential overprovisioning. As the appetite for computing increases, however, so does the need to maximize cost efficiency by...

67. SCD Cloud at STFC

Alexander Dibbo (STFC RAL)

19/04/2016, 12:15

Grid, Cloud & Virtualisation

An update on the cloud deployment in the Scientific Computing Department at RAL.
I will describe our OpenNebula deployment and the use cases we have online including LOFAR.
Our OpenNebula deployment has served us well, however new requirements mean that we are looking at OpenStack again.
I will describe how we are deploying OpenStack as a replacement for OpenNebula and the work done to...

15. First Experiences with Container Orchestration in the CERN Cloud

Bertrand Noel (Ministere des affaires etrangeres et europeennes (FR))

21/04/2016, 09:00

Grid, Cloud & Virtualisation

We recently added initial container support to the CERN private cloud service. After a brief recap of what container orchestration is, we will discuss what the service offers in terms of cluster managers (Kubernetes, Docker Swarm, Mesos), describe some of the use cases, and show how we integrate with OpenStack and other general CERN services.

51. Using Docker container virtualization in DESY HPC environment

Sergey Yakubov (DESY)

21/04/2016, 09:25

Grid, Cloud & Virtualisation

Docker container virtualization provides an efficient and, after recent implementation of user namespaces, secure application portability across various environments and operating systems. An application inside a Docker container is packaged with all of its dependencies, has low overhead, can run on any infrastructure, whether it is a single machine, a cluster or a cloud. Container-based...

50. The HELIX NEBULA Science Cloud project

Helge Meinhard (CERN)

21/04/2016, 09:50

Grid, Cloud & Virtualisation

HEP is only one of many sciences with sharply increasing compute requirements that cannot be met by profiting from Moore's law alone. Commercial clouds potentially allow for realising larger economies of scale. While some small-scale experience requiring dedicated effort has been collected, European science has not ramped up to significant scale yet; in addition, public cloud resources have...

41. Virtual Cluster Computing in IHEPCloud

Mr Li Haibo (Institute of High Energy Physics Chinese Academy of Sciences)

21/04/2016, 10:15

Grid, Cloud & Virtualisation

With the rapid growth of high energy physics experimental data, the data processing system encounters many problems such as low resource utilization, migration complex and so on, which makes it urgent to enhance the data analysis system ability. Cloud computing which uses virtualization technology provides many advantages to solve these problems in a cost-effective way. In this presentation,...

3. Using Containers for HPC Workloads

Mr Fritz Ferstl (UNIVA)

21/04/2016, 11:10

Grid, Cloud & Virtualisation

Containers have quite some history but Docker has helped to make them an exciting trend which has first penetrated DevOps and is now spreading out further in the IT industry. How can containers be utilized in an HPC environment and what benefits can be gained? This paper describes the status quo of container technology, analyzes benefits as well as disadvantages, discusses use case scenarios...

59. Using Ganeti for running highly available virtualized services

Erik Mattias Wadenstein (University of Umeå (SE))

21/04/2016, 11:35

Grid, Cloud & Virtualisation

An overview of the virtual server management software stack Ganeti and how it is used at NDGF for running highly available services, like the dCache head nodes for both production and testing, but also some other samples of deployments.