Computing Environment To Achieve The Lcg-based High-energy Physics Experiments And Monitoring

From 1950's to now, accompanied by the deep inside exploration of the microstructure of our world, a true proliferation of particles exploded and new particles were found one after another. In the mean time, the Standard Model, which is a well-accepted theory, seems to be able to solve nearly all the microscopic phenomena, was established. But, the exploration and discovery will never stop, there are still some miracles, such as why do fundamental particles have mass, would the Higgs Mechanism processed by the Standard Model be the solution of this problem, could the Supersymmetry theory unify the Strong Force and Gravity, needed to be solved.The Large Hadron Collider (LHC), which will be the biggest and accelerate particles beams to be collided each other at the highest energy level in the world due to switch on in 2007, is brought to solve these problems. ATLAS (A Toroidal LHC Apparatus) is one of the four major experiments on the LHC.However, the LHC will produce roughly 15 Petabytes (15 million Gigabytes) of data annually, which thousands of scientists around the world will access and analyze. The analysis of the data, including comparison with theoretical simulations, requires of the order of 100,000 CPUs at 2004measures of processing power. To solve these challenges, a novel globally distributed model for data storage and analysis — a computing Grid — was chosen because it provides several key benefits. In particular: The significant costs of maintaining and upgrading the necessary resources for such a computing challenge are more easily handled in a distributed environment, where individual institutes and participating national organizations can fund local computing resources and retain responsibility for these, while still contributing to the global goal. In addition, in a distributed system there are no single points of failure. Multiple copies of data and automatic reassigning of computational tasks to available resources ensures load balancing of resources and facilitates access to the data for all the scientists involved, independent of geographical location. Spanning all time zones also facilitates round-the-clock monitoring and support.