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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chao Wang Zhe Zhang Vazhkudai, S.S. Xiaosong Ma Mueller, F. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC (Chao Wang; Zhe Zhang; Xiaosong Ma; Mueller, F.) |
| Abstract | Storage system failure is a serious concern as we approach Petascale computing. Even at today's sub-Petascale levels, I/O failure is the leading cause of downtimes and job failures. We contribute a novel, on-the-fly recovery framework for job input data into supercomputer parallel file systems. The framework exploits key traits of the HPC I/O workload to reconstruct lost input data during job execution from remote, immutable copies. Each reconstructed data stripe is made immediately accessible in the client request order due to the delayed metadata update and fine-granular locking while unrelated access to the same file remains unaffected. We have implemented the recovery component within the Lustre parallel file system, thus building a novel application-transparent online recovery solution. Our solution is integrated into Lustre's two-level locking scheme using a two-phase blocking protocol. Combining parametric and simulation studies, our experiments demonstrate a significant improvement in HPC center service ability and user job turnaround time. |
| Starting Page | 620 |
| Ending Page | 627 |
| File Size | 308380 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769533742 |
| ISSN | 01903918 |
| DOI | 10.1109/ICPP.2008.28 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | File systems Supercomputers Servers Protocols Availability Fault tolerance Fault tolerant systems |
| Content Type | Text |
| Resource Type | Article |
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