• Introduction about CERN, LHC, High Energy Physics Experiments
• Who is ALICE? And why does she need the GRID?
• AliEn: Project timeline, Architecture, Components, File Catalogue and Resource broker
• Outlook
• Conclusions

Assignments: TBD

• What is Grid? Sorting out the alphabet soup...
• Impact of Grid computing to science.
• Grid@CERN: CERN as a driving force in Grid computing.
• Grids, where to?

Assignments: TBD

The grid vision of a single computing utility has yet to materialize: while many grids with thousands of processors each exist, most work in isolation. An important obstacle for the effective and efficient inter-operation of grids is the problem of resource selection. In this work we propose a solution to this problem that combines the hierarchical and decentralized approaches for interconnecting grids. In our solution, a hierarchy of grid sites is augmented with peer-to-peer connections between sites under the same administrative control. To operate this architecture, we employ the key concept of delegated matchmaking, which temporarily binds resources from remote sites to the local environment. With trace-based simulations we evaluate our solution under various infrastructural and load conditions, and we show that it outperforms other approaches to inter-operating grids. Specifically, we show that delegated matchmaking achieves up to 60% more goodput and completes 26% more jobs than its best alternative, daily.

Presentation | Hand-outs

Assignments:

1. Using GrenchMark, generate workloads with different job arrival patterns, and submit them to your grid. How many jobs finish in a given time? How does the jobs' response time vary with the job arrival pattern?
2. Using GrenchMark, generate workloads with jobs that arrive at two grid clusters. The arrivals at one grid cluster can be either independent of the other's, or alternative with the arrivals of the other cluster. What is the time needed to complete all jobs in the workload in the two cases?

• Introduction about CERN, LHC, High Energy Physics Experiments
• Monitoring requirements
• MonALISA: Design, Implementation, and Practice
• Summary

Presentation

Assignments: TBD

• Service Oriented Architecture – Introduction
• Web Services – Standards and protocols
• Condor
• Condor BirdBath – Web Service interface for Condor
• Conclusions

Assignments: TBD

1. Use Condor through its Web Services interface.
   
   • Install Condor
   • Enable the Condor WebServices interface
   • Create and test a client for Condor WebServices
   • Model job workflows with Condor DAGMan