Scientific applications often perform complex computational analyses that consume and
produce large data sets. We are concerned with data placement policies that distribute data …

Computing and software are of paramount importance to the Compact Muon Solenoid
(CMS) experiment.[1] The LHC experiments have recognised the magnitude and complexity …

This document provides a top-level description of the CMS Offline Computing systems, with
emphasis on the period immediately following the turn-on of the LHC and CMS. The main …

Big Data has emerged as a driving force for scientific discoveries. Large scientific
instruments (eg, colliders, and telescopes) generate exponentially increasing volumes of …

Large scientific collaborations are moving towards service oriented architectures for
implementation and deployment of globally distributed systems. Clarens is a high …

During the LHC Run-1 data taking, all experiments collected large data volumes from proton-
proton and heavy-ion collisions. The collisions data, together with massive volumes of …

In many applications of compression, decoding speed is at least as important as
compression effectiveness. For example, the large inverted indexes associated with text …

Distributed Computing Grid Experiences in CMS Data Challenge Page 1 2nd GGF School on
Grid Computing – July 2004 – n 1 A.Fanfani INFN Bologna ➢ Introduction about LHC and CMS …

As scientific applications generate and consume data at ever-increasing rates, scientific
workflow systems that manage the growing complexity of analyses and data movement will …

We examine the use of policy-driven data placement services to improve the performance of
data-intensive, petascale applications in high performance distributed computing …