Abstract
This study presents preliminary results from a distributed checkpointing approach developed to be used with replicated state machines. Our approach takes advantage from splitting and storing partial execution history of the master state machine in a distributed way. Our initial results show that using such an approach provides less memory consumption for both the running replicas and the restoring replica in case of a failure. On the other hand for larger histories and larger number of replicas it also increases the restore duration as a major drawback.
| Original language | English |
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| Title of host publication | CLOSER 2020 - Proceedings of the 10th International Conference on Cloud Computing and Services Science |
| Editors | Donald Ferguson, Markus Helfert, Claus Pahl |
| Publisher | SciTePress |
| Pages | 515-520 |
| Number of pages | 6 |
| ISBN (Electronic) | 9789897584244 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 10th International Conference on Cloud Computing and Services Science, CLOSER 2020 - Virtual, Online Duration: 7 May 2020 → 9 May 2020 |
Publication series
| Name | CLOSER 2020 - Proceedings of the 10th International Conference on Cloud Computing and Services Science |
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Conference
| Conference | 10th International Conference on Cloud Computing and Services Science, CLOSER 2020 |
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| City | Virtual, Online |
| Period | 7/05/20 → 9/05/20 |
Bibliographical note
Publisher Copyright:© Copyright 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
Keywords
- Distributed Checkpoints
- Fault Tolerance
- Replicated State Machines