DC - Distributed Computing (2008 - 2009)Up one level
- Upon successful completion of this course, students should be able to:
- build formal models of distributed system;
- differentiate between synchronous and asynchronous models;
- understand the assumptions and limitations underlying models of distributed systems;
- describe the more relevant problems in distributed systems;
- reason about distributed algorithms;
- design new distributed algorithms;
- invoke impossibility results to avoid wasting time trying to solve an unsolvable problem;
- prove impossibility results.
- Synchronous networks:
- Formal model (lockstep rounds) and proof methods
- Basic algorithms: Leader Election, Spanning Trees
- Agreement in synchronous networks:
- The abstract consensus problem
- Agreement with process and link failures
- Byzantine agreement
- Asynchronous networks:
- Formal models (I/O automata,TLA) and proof methods
- Basic algorithms: (revisited)
- Logical time in asynchronous networks:
- Causality, real time and logical time
- Vector clocks and version vectors
- Stable properties:
- ∗ Distributed termination ∗ Global snapshots ∗ Deadlock detection
- Agreement in asynchronous networks:
- Impossibility of fault-tolerant consensus
- Failure detectors and indulgence
- Unreliable channels
- Agreement problems
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Last modified 2009-04-15 11:22 PM