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| Content Provider | ACM Digital Library |
|---|---|
| Author | Dolev, Shlomi Sagiv, Mooly Haviv, Yinnon |
| Copyright Year | 2009 |
| Abstract | Self-stabilization is an elegant approach for designing fault tolerant systems. A system is considered self-stabilizing if, starting in any state, it converges to the desired behavior. Self-stabilizing algorithms were designed for solving fundamental distributed tasks, such as leader election, token circulation and communication network protocols. The algorithms were expressed using guarded commands or pseudo-code. The realization of these algorithms requires the existence of a (self-stabilizing) infrastructure such as a self-stabilizing microprocessor and a self-stabilizing operating system for their execution. Moreover, the high-level description of the algorithms needs to be converted into machine language of the microprocessor. In this article, we present our design for a self-stabilization preserving compiler. The compiler we designed and implemented transforms programs written in a language similar to the abstract state machine (ASM). The compiler preserves the stabilization property of the high level program. |
| Starting Page | 1 |
| Ending Page | 42 |
| Page Count | 42 |
| File Format | |
| ISSN | 01640925 |
| e-ISSN | 15584593 |
| DOI | 10.1145/1552309.1552312 |
| Volume Number | 31 |
| Issue Number | 6 |
| Journal | ACM Transactions on Programming Languages and Systems (TOPLAS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-08-26 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Compilers Abstract state machines Self-stabilization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Software |
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