Abstract
We study a new problem - the wakeup problem - that seems to be fundamental in distributed computing. We present efficient solutions to the problem and show how these solutions can be used to solve the consensus problem, the leader-election problem, and other related problems. The main question we try to answer is "How much memory is needed to solve the wakeup problem?" We assume a model that captures important properties of real systems that have been largely ignored by previous work on cooperative problems.
| Original language | English |
|---|---|
| Pages (from-to) | 1332-1357 |
| Number of pages | 26 |
| Journal | SIAM Journal on Computing |
| Volume | 25 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 1996 |
Keywords
- Algorithms
- Concurrency
- Fault tolerance
- Shared memory
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