CERN uses a global collaborative computing grid called the Worldwide LHC Computing Grid (WLCG) to process and analyze the huge amounts of data generated by the Large Hadron Collider (LHC). The WLCG links over 170 computing centers in 42 countries to provide the necessary computing power. It processes over 1.5 million computing jobs daily, equivalent to a single computer running for over 600 years. This distributed computing approach allows CERN scientists to solve problems too large for any single machine by pooling resources from around the world.

1. COLLABORATIVE COMPUTING
BY SUSHMITA DEY
SAN JOSE STATE UNIVERSITY
DR. RAMAMURTI SRIDAR

2. BACKGROUND
• When multiple and distributed computers cooperate to solve a large computing
problem then it is known as Collaborative Computing .
• In Collaborative Computing resources of 100 thousands or more computers in a
network around the world are used to solve a single large computing problem,
which cannot be solved by a single machine and require more CPU cycles.
• Scientists working in space technology and particle physics laboratory require a
large computing resources to analyze and process Big Data created during their
research experiments

3. BACKGROUND
• In United States, NASA uses collaborative computing
to build Climate models for weather forecasting.
• CERN at Switzerland is the largest particle physics
laboratory.
• Scientist use large particle accelerator to conduct
fundamental research on matters and particles to learn
about our Universe.

4. USE CASE
• CERN hosts Large Hadron Collider (LHC) is the world’s
largest and most powerful particle accelerator.
• CERN requires very large computing resources to store,
distribute and analyze the ~30 Petabytes (30 million
Gigabytes) of data annually generated by the Large
Hadron Collider (LHC) at CERN on the Franco-Swiss
border

5. VIEW OF THE LHC TUNNEL
Markus Schulz, CERN, IT Department
CERN build the Large Hadron Collider (LHC)
the world’s largest particle accelerator
(27 km long, 100 m under ground)
First beam in 2008
Start of the physics program autumn 2009

6. THE LHC COMPUTING
CHALLENGE
 Signal/Noise <10-12
 Data volume
 High rate * large number of channels * 4
experiments
 30 PetaBytes of new data each year ( 40 Million
CDs)
 Compute power
 Event complexity * Nb. events * thousands users
 >>200 Thousands of (today's) fastest CPUs, 45
PB disks
 Worldwide analysis & funding
 Computing funding locally in major regions &
countries
 Efficient analysis everywhere
The
Needle

7. USE CASE
• CERN uses Worldwide LHC Computing Grid (WLCG) project, a global collaboration
of more than 170 computing centers in 42 countries, linking up national and
international grid infrastructures to meet its very large computing resources
requirements.
• Every day WLCG processes more than 1.5 million 'jobs', corresponding to a single
computer running for more than 600 years.

8. LHC COMPUTING GRID PROJECT (LCG)
• Dedicated
10gbit links
between the
T0 and each
T1 center

9. DATA FLOW TO THE CERN COMPUTER
CENTER

10. DATA FLOW OUT OF THE CENTER
Markus Schulz, CERN, IT Department

11. REAL TIME DASHBOARD

12. CERN VIDEO
HTTPS://WWW.YOUTUBE.COM/WATCH?V=BCRSBUGBRO0

13. WHAT ARE THE WEAKNESS/THREATS FOR THIS
TECHNICAL ENTITY?
• RELIABILITY
• INTEROPERABI
LITY

14. WHAT ARE THE STRENGTH/OPPORTUNITIES FOR THIS
TECHNICAL ENTITY?
• Worldwide LHC Computing Grid (WLCG) project is a successful example of
Collaborative Computing.
• UC Berkeley has created BONIC, a software platform for creating collaborative
computing for volunteer computing and desktop Grid computing.
• Volunteer computing is a special case of Collaborative Computing where people
can donate idle cycles of their home computer to support scientific research.
• Universities can use collaborative computing to create a virtual supercomputing
center for their academics and researchers working on computing-intensive
experiments.
• Scientists can access a powerful collaborative computing machine using the idle
time on your computer (windows, mac, Linux, or android) to cure diseases, study
global warming, discover pulsars, and do many other types of scientific research.

15. WHAT IS THE FUTURE FOR THIS TECHNICAL
ENTITY?
• Future of collaborative computing will be evolving to meet the
growing need from Scientific Community from around the world.
• Research is going to support Computing as Service – similar to
public clouds like AWS
• Self-healing of the Collaborative Computing Grid to improve the
availability and reliability of the computing grid.
• Monitoring of the computers by host organization.

16. WHO ARE THE CURRENT PLAYERS – GIVE EXAMPLES OF
CURRENT USAGE/USERS IN BUSINESS?
• AWS – AMAZON WEB SERVICES
• AZURE - MICROSOFT
• GCE- GOOGLE COMPUTING ENGINE

17. CITATION
• HTTP://HOME.CERN/ABOUT
• HTTP://BOINC.BERKELEY.EDU/
• HTTPS://RUN2-13TEV.WEB.CERN.CH/?PAGE=3
• HTTP://INDICO.CERN.CH/EVENT/68690/CONTRIBUTION/2/ATTACHMENTS/1026356/1461
428/CMS_COMPUTING_MODEL.PDF
• HTTP://HOME.CERN/ABOUT/COMPUTING/WORLDWIDE-LHC-COMPUTING-GRID