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| Content Provider | ACM Digital Library |
|---|---|
| Author | Serfozo, Richard F. Chen, Liang Akyildiz, Ian F. Das, Samir R. Fujimoto, Richard M. |
| Abstract | The behavior of n interacting processes synchronized by the “Time Warp” rollback mechanism is analyzed under the constraint that the total amount of memory to execute the program is limited. In Time Warp, a protocol called “cancelback” has been proposed to reclaim storage when the system runs out of memory. A discrete state, continuous time Markov chain model for Time Warp augmented with the cancelback protocol is developed for a shared memory system with n homogeneous processors and homogeneous workload. The model allows one to predict speedup as the amount of available memory is varied. To our knowledge, this is the first model to achieve this result. The performance predicted by the model is validated through direct performance measurements on an operational Time Warp system executing on a shared-memory multiprocessor using a workload similar to that in the model. It is observed that Time Warp with only a few additional message buffers per processor over that required in the corresponding sequential execution can achieve approximately the same or even greater performance than Time Warp with unlimited memory, if GVT computation and fossil collection can be efficiently implemented. |
| Starting Page | 213 |
| Ending Page | 224 |
| Page Count | 12 |
| File Format | |
| ISSN | 01635999 |
| DOI | 10.1145/149439.133109 |
| Journal | ACM SIGMETRICS Performance Evaluation Review (PERV) |
| Volume Number | 20 |
| Issue Number | 1 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-01-10 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Hardware and Architecture Software |
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