Hybrid Message Pessimistic Logging. Improving current pessimistic message logging protocols
With the growing scale of HPC applications, there has been an increase in the number of interruptions as a consequence of hardware failures. The remarkable decrease of Mean Time Between Failures (MTBF) in current systems encourages the research of suitable fault tolerance solutions. Message logging...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/101973 |
| Acceso en línea: | https://hdl.handle.net/2117/101973 https://dx.doi.org/10.1016/j.jpdc.2017.02.003 |
| Access Level: | acceso abierto |
| Palabra clave: | Scalability of computer networks Fault-tolerant computing Availability, Systems Fault tolerance Availability Scalability Performance MPI Message logging Supercomputadors Àrees temàtiques de la UPC::Enginyeria electrònica |
| Sumario: | With the growing scale of HPC applications, there has been an increase in the number of interruptions as a consequence of hardware failures. The remarkable decrease of Mean Time Between Failures (MTBF) in current systems encourages the research of suitable fault tolerance solutions. Message logging combined with uncoordinated checkpoint compose a scalable rollback-recovery solution. However, message logging techniques are usually responsible for most of the overhead during failure-free executions. Taking this into consideration, this paper proposes the Hybrid Message Pessimistic Logging (HMPLHMPL) which focuses on combining the fast recovery feature of pessimistic receiver-based message logging with the low failure-free overhead introduced by pessimistic sender-based message logging. The HMPLHMPL manages messages using a distributed controller and storage to avoid harming system’s scalability. Experiments show that the HMPLHMPL is able to reduce overhead by 34% during failure-free executions and 20% in faulty executions when compared with a pessimistic receiver-based message logging. |
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