The Large Hadron Collider
HadoopViz
A student at the University of Nebraska-Lincoln, Derek Weitzel, completed a student project that shows the real-time transfers of data in our HDFS system. Called HadoopViz, this visualization shows all packet transfers in the HDFS system as raindrops arcing from one server to the other. The figure below shows a still shot.

Screens from left to right: Condor View of Jobs; PhEDEx Transfer quality; Hadoop Status Page; MyOSG Site Status; CMS Dashboard Job Status; Nagios Monitoring of Nebraska Cluster; CMS Event Display of November 7 Beam Scrape Event; OSG Resource Verification Monitoring of US CMS Tier-2 Sites HadoopViz Visualization of Packet Movement
Once the data is stored at a Tier-2, physicists need to be able to analyze it to make their discoveries. The platform for this task is Linux. For the sake of standardization, most of the development occurs on Red Hat Enterprise-based distributions. Both CERN and FNAL have their own Linux distributions but add improvements and customizations into the Scientific Linux distribution. The Tier-2 at Nebraska runs CentOS as the primary platform at our site.
With data files constructed to be about 2GB in size and data sets currently hovering in the low terabyte range, full data set analysis on a typical desktop is problematic. A typical physics analysis will start with coding and debugging taking place on a single workstation or small Tier-3 cluster. Once the coding and debugging phase is completed, the analysis is run over the entire data set, most likely at a Tier-2 site. Submitting an analysis to a grid computing site is not easy, and the process has been automated with software developed by CMS called CRAB (CMS Remote Analysis Builder).
To create a user's jobs, CRAB queries the CMS database at CERN that contains the locations where the data is stored globally. CRAB constructs the grid submission scripts. Users then can submit the entire analysis to an appropriate grid resource. CRAB allows users to query the progress of their jobs and request the output to be downloaded to their personal workstations.
CRAB can direct output to the Tier-2 storage itself. Each CMS user is allowed 1 terabyte of space on each Tier-2 site for the non-archival storage of each user's analysis output. Policing the storage used by scientists is a task left to the Tier-2 sites. HDFS's quota functionality gives the Nebraska Tier-2 administrators an easily updated tool to limit the use of analysis space automatically.
Figure 3 shows a simulated event seen through CMS, and Figure 4 shows an actual record event.
The LHC will enable physicists to investigate the inner workings of the universe. The accelerator and experiments have been decades in design and construction. The lab is setting new benchmarks for energetic particle beams. Everyone I talk to about our work seems to get glossy-eyed and complain that it is just too complex to comprehend. What I want to do with this quick overview of the computing involved in the LHC is tell the Linux community that the science being done at the LHC owes a great deal to the contributors and developers in the Open Source community. Even if you don't know your quark from your meson, your contributions to open-source software are helping physicists at the LHC and around the world.
Carl Lundstedt received his PhD in high-energy particle physics from the University of Nebraska-Lincoln (UNL) in 2001. After teaching introductory physics for five years, he is now one of the administrators of the CMS Tier-2 computing facility located at UNL's Holland Computing Center.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
- New Products
- Linux Systems Administrator
- Senior Perl Developer
- Technical Support Rep
- Web & UI Developer (JavaScript & j Query)
- UX Designer
- Designing Electronics with Linux
- Dynamic DNS—an Object Lesson in Problem Solving
- Using Salt Stack and Vagrant for Drupal Development
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)








1 hour 48 min ago
7 hours 34 min ago
7 hours 51 min ago
9 hours 44 min ago
11 hours 38 min ago
18 hours 32 min ago
18 hours 48 min ago
20 hours 39 min ago
1 day 2 hours ago
1 day 7 hours ago