Table des matières
Large-scale distributed systems
Teachers
| Name | Affiliation | Web |
|---|---|---|
| Johan Montagnat | CNRS / I3S laboratory, Modalis team | home page |
| Diane Lingrand | UNS / I3S laboratory, Modalis team | home page |
Summary
Large scale distributed infrastructures leverage the high performance networks to federate computing, data and scientific resources from multiple institutions interconnected through the Internet. Distributed computing technologies have undergone a very fast evolution these last years and the infrastructure deployed have become a critical tool in many scientific disciplines. This lecture describes the foundation of distributed computing infrastructures. It introduces the main computing models exploited in Grids and Clouds to evolve from cluster computing towards more virtualized resources and across-institutional user communities. The main problems encountered when deploying such very large scale infrastructures are discussed: users identification and authorization, security of data and computations, heterogeneity of resources, redundancy and fault tolerance, deployment, management, and computation flow control… The most wide spread technologies and their associated middlewares are reviewed. Several examples illustrate the concepts introduced.
Objectives
- become familiar with large-scale distributed computing infrastructures
- learn distributed computing principles and underlying technologies
- identify distributed computing capabilities and limitations
- design performing distributed applications
- be alert to emerging technologies and research trends
Content
Duration: 8 weeks
Week 1: Distributed computing and models
- Introduction, definitions
- Different kinds of grid, PC clusters, Internet grids
- Parallel and distributed computing
- Capabilities and limitations - sharing resources
- Application area examples
- Virtual Organizations
- Distributed computing models
- Application models
Week 2: Remote services
- Services and interoperability
- Web Services
- OGSI / OGSA
- WS-RF, WS-*
- Platform as a service, Cloud computing
Week 3: Grid infrastructures
- Research and production infrastructures
- Middleware development
- Deployment
- Operations
Week 4: Workload and performance modeling
- Job Submission System
- Mathematical tools
- Probabilistic models
- Exploitation
Week 5: Workflows
- Application workflows
- Representation of data-intensive workflows
- Parallel enactment
Week 6: Security
- Cryptography background
- Authentication
- Authorization
- Access control policies
Week 7: Data management
- Distributed data management
- Distribution, replication
- P2P
Week 8: Evaluation
