Development of a Plugin for Transporting Jobs Through a Grid

Sensorn Compact Muon Solenoid (CMS) vid partikelacceleratorn Large Hadron Collider (LHC) hos Europeiska Organisationen för Kärnforskning (CERN) kommer att producera stora mängder data som måste analyseras med hjälp av datorresurser över hela Europa. För att underlätta distribueringen av datat har man utvecklat en typ av beräkningsnät kallat ett grid. Helsingfors Fysikinstitut (HIP) har gått med på att aktivt bidra till projektet genom att skänka beräkningsresurser till gridet. Beräkningsresurserna består främst av beräkningselement (CE) och datalagringselement (SE). För att möjliggöra användningen av dessa resurser programmerades en plugin-modul för att CMS Remote Analysis Builder (CRAB) skall kunna skicka beräkningsjobb till beräkningsresurserna via Advanced Resource Connector (ARC) Grid Middleware. Detta slutarbete beskriver plugin-modulen och dess egenskaper samt de gridkomponenter som är relevanta för plugin-modulens realisering.The Compact Muon Solenoid (CMS) sensor at the particle accelerator called the Large Hadron Collider (LHC) in the European Organizaion for Nuclear Research (CERN) will produce large amounts of data that will require computing resources all over Europe for analysis. In order to facilitate the distribution of data a distributed network called a grid was developed. The Helsinki Institute for Physics (HIP) has pledged to actively participate in this project by supplying computing resources. The computational resources mainly consist of computing elements (CE) and storage elements (SE). To make the resources available, a plug-in was programmed to enable the CMS Remote Analysis Builder (CRAB) to use the Advanced Resource Connector (ARC) Grid Middleware for submitting jobs to these computational resources. This thesis describes the plug-in as well as the grid components which are relevant to implementation of the plug-in

CMS Data Processing Workflows during an Extended Cosmic Ray Run

Peer reviewe

A distributed analysis and monitoring framework for the compact Muon solenoid experiment and a pedestrian simulation

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The design of a parallel and distributed computing system is a very complicated task. It requires a detailed understanding of the design issues and of the theoretical and practical aspects of their solutions. Firstly, this thesis discusses in detail the major concepts and components required to make parallel and distributed computing a reality. A multithreaded and distributed framework capable of analysing the simulation data produced by a pedestrian simulation software was developed. Secondly, this thesis discusses the origins and fundamentals of Grid computing and the motivations for its use in High Energy Physics. Access to the data produced by the Large Hadron Collider (LHC) has to be provided for more than five thousand scientists all over the world. Users who run analysis jobs on the Grid do not necessarily have expertise in Grid computing. Simple, userfriendly and reliable monitoring of the analysis jobs is one of the key components of the operations of the distributed analysis; reliable monitoring is one of the crucial components of the Worldwide LHC Computing Grid for providing the functionality and performance that is required by the LHC experiments. The CMS Dashboard Task Monitoring and the CMS Dashboard Job Summary monitoring applications were developed to serve the needs of the CMS community