Optimization Strategies for Data Distribution Schemes in a Parallel File System
- Parallel systems leverage parallel file systems to efficiently perform I/O to shared files. These parallel file systems utilize different client-server communication and file data distribution strategies to optimize the access to data stored in the file system. In many parallel file systems, clients access data that is striped across multiple I/O devices or servers. Striping, however, results in poor access performance if the application generates a different stride pattern. This work analyzes optimization approaches of different parallel file systems and proposes new strategies for the mapping of clients to servers and the distribution of file data with special respect to strided data access. We evaluate the results of a specific approach in a parallel file system for main memory.
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Jan Seidel, Rudolf Berrendorf, Ace Crngarov, Marc-André Hermanns |
| Parent Title (English): | Bischof, Bücker et al. (Eds.): Parallel Computing: Architectures, Algorithms and Applications. ParCo 2007, Forschungszentrum Jülich and RWTH Aachen University, Germany, 4-7 September 2007 |
| First Page: | 425 |
| Last Page: | 432 |
| ISBN: | 978-1-58603-796-3 |
| URL: | https://ebooks.iospress.nl/publication/26217 |
| Handle: | https://hdl.handle.net/2128/6495 |
| Publisher: | IOS Press |
| Publication year: | 2008 |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Entry in this database: | 2015/04/02 |
