Seminar: Grid Computing with ASGsummer term 2006
Prof. Dr. habil. Andreas Polze
Dipl. Inf. Peter Tröger
Dipl. Inf. Andreas Rasche
A Grid is a massively distributed system, which enables the offering, finding and usage of resources across multiple administrative domains. Grid Computing considers questions of availability, authentication, billing and quality-of-service in widely distributed systems. Multiple resources from different organizations are combined in a non-centralized virtual organization. Grid Computing can be seen as analogy to the power grid, which offers its resources regardless of the provider in a constant quality to the end user, using standardized and low-cost interfaces.
The seminar discusses major topics in the area of distributed systems (especially Grid systems) and tries to analyze their evolution in the last 20 years. We will discuss basic concepts of distributed systems from history, their practical application in cluster environments, and their current application to grid toolkits.
Each participant must provide a 45 minute presentation, which will be followed by a discussion. Two weeks before the presentation, each student should contact his tutor for a preliminary discussion of the presentation material. The presentation must be given in English language.
The grading demands not only presentation and discussion, but also
some practical work (programming / installation / experiments) with
a particular distributed system, and the delivery of a project
report document (10 - 50 pages). The document must be written with
document template, and can be written in German language.
The presentation time slots are 7.6., 21.6., 28.6., and 12.7.
Remote deployment and execution in distributed systems (Martin Breest)
- Historical approaches (rshell, ssh)
- Cluster vs. Grid - problem analysis
- Cluster systems (Sun Grid Engine, Condor, Cactus, PBS, Legion)
- Cluster scheduling strategies (backfilling, advanced reservation)
- Monitoring and profiling (NWS, RMON, Ganglia, Paradyn)
- Grid toolkits (Globus, Unicore, Legion, GridLab)
- Service grids (WSRF, WS-Management, OGSA, JSDL, DRMAA, GAT)
- Practical experiments with job submission and grid scheduling (Nimrod, Maui, Community Scheduler, Silver)
- Simple example program (e.g. povray), applied to different
environments - positioning as possible user of such systems
Parallel and distributed programming (Francisco Marcano)
- Roots of parallel and distributed programming (control-parallelism, data-parallelism, LOGP, PRAM, MIMD vs SIMD, ...)
- Inter-process communication (RPC, message passing, peer-to-peer, group communication, tuple spaces)
- RPC and distributed objects (DCE RPC, Sun RPC)
- Message-oriented communication (PVM, MPI, message queues)
- Programming languages for distributed systems (HPF, Occam, Parallel C, OpenMP)
- Toolkits for grid programming (Cactus)
- Exemplary parallelization of given algorithm in High-Performance Fortran, execution in cluster testbed (e.g. with TCP MPI)
Security in distributed systems (Uwe Kylau)
- Terminology (Identification, authentication, authorization, audits, integrity, confidentiality, non-repudiation, imperative vs. role-based security)
- Middleware security (DCE, DCOM, RMI, CORBA, Legion)
- Grid security (Globus GSI, X.509, PKI, WS-Security)
- Practical experiments with WS-Security, for usage in ASG / J2EE environment
Scalable and fault-tolerant data management in distributed systems (Nikolai Eipel)
- Data replication in distributed systems (consistency models, replication strategies, indexing)
- Historical approaches (Plan 9, Linda)
- Distributed file systems (NFS, AFS, GFS, SMB, Coda)
- Distributed data management (EU Data Grid, GridFTP, Grid File System, RLS)
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