| Some centers involved in the WLCG; clockwise from top left: the French Tier-1 in Lyon; the Asian Tier-1 in Taipai, the University of Wisconsin Tier-2 in the U.S., and the Cern Tier-0 in Switzerland. Images courtesy of IN2P3, ASGC, UW-Madison and CERN |
Democratic and global A big success of the LCG has been the involvement of multiple centers from around the world. “Different countries, universities, labs…We have over 110 Tier-2 centers up and running, some big and some very small, but all delivering resources to the experiments,” Robertson explains. “Many of these are computing centers that haven’t been a fundamental part of the experiments environment before, and we’ve all put a lot of effort into working as a collaboration, sensitizing people to what will be required when the first data starts to arrive. The advantage is that all these centers are now involved in the experiments and so there are many options for injecting new resources when they are required.” BACK TO TOP Challenges so far: the big three When asked about the challenges he faced as head of the LCG project, Robertson laughs wryly. “There were several big problems,” he says, “and they were all a bit the same.” Money “Funding was certainly a problem, and the UK and Italy were especially important in providing people to get us started. We also benefited enormously from EGEE and OSG and their predecessors. As far as equipment is concerned, with the exception of ALICE, we have what we need for the first couple of years. After that there’s still a lot of work to be done to build up resources as the data grows.” Collaboration “I was surprised by the intensity of competition within the HEP community. This is collaboration, not a project with funding for people, so we all have to agree on what we do. People have had lots of good ideas, but in the end you have to do the practical thing. Achieving resolution has been harder than I expected.” Distant deadlines “When the end is far away, there’s a temptation to think of sophisticated, clever ways of doing things. But this is difficult when there is little experience and so you don’t actually know what you need. Over the past year, the LHC has drawn closer to startup and this situation has changed. People have started to realize that we have to use what is available, because we want to do physics, and we need a solution.” BACK TO TOP Our challenges for the future Immediate: Stabilizing operations “The futures of HEP and the grid depend on what comes out of the LHC. It’s very important that the LHC produces something quickly and that grid operations stabilize rapidly.” Mid-term: Managing the data “We can physically move data around quite well, but the challenges of data placement and management are still being proven. How do we distribute the data, and how do you find out where it is? There are enormous challenges yet to come.” Long-term: Managing energy requirements “Computing has been getting cheaper and cheaper. Now costs are going up because of power requirements. The cost of supplying energy will affect all large-scale computing. We will have to invest heavily in ways to improve efficiency.” BACK TO TOP Countdown to startup So is Robertson confident that all will go according to the LCG plan when the first proton beams race through the LHC? He’s hoping! “There is a lot of work still to be done,” he says. “This is new, this idea that you start a machine and the computing required is not all at the same place as the machine. It hasn’t actually been done before. When the beams come, we don’t know what will happen. Things will be chaotic, people will want things we didn’t expect. But HEP is showing that this highly distributed environment is useable. Physicists are no longer dependent on CERN having all the funding or CERN deciding on priorities. We’ve created a democratic environment where you can plug in computer resources wherever you find it. In principle, that was the real goal of the grid.” - Cristy Burne, iSGTW BACK TO TOP |