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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weikuan Yu Vetter, J.S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Comput. Sci. & Math., Oak Ridge Nat. Lab., Oak Ridge, TN (Weikuan Yu; Vetter, J.S.) |
| Abstract | Virtualization using Xen-based virtual machine environment has yet to permeate the field of high performance computing (HPC). One major requirement for HPC is the availability of scalable and high performance I/O. Conventional wisdom suggests that virtualization of system services must lead to degraded performance. In this presentation, we take on a parallel I/O perspective to study the viability of Xen-based HPC for data-intensive programs. We have analyzed the overheads and migration costs for parallel I/O programs in a Xen-based virtual machine cluster. Our analysis covers PVFS-based parallel I/O over two different networking protocols: TCP-based Gigabit Ethernet and VMM-bypass InfiniBand. Our experimental results suggest that network processing in Xen-based virtualization can significantly impact the performance of Parallel I/O. By carefully tuning the networking layers, we have demonstrated the following for Xen-based HPC I/O: (I) TCP offloading can help achieve low overhead parallel I/O; (2) parallel reads and writes require different network tuning to achieve good I/O bandwidth; and (3) Xen-based HPC environment can support high performance parallel I/O with both negligible overhead and little migration cost. |
| Starting Page | 154 |
| Ending Page | 161 |
| File Size | 429727 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769531564 |
| DOI | 10.1109/CCGRID.2008.119 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-19 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | File systems Application software Costs Virtual machining Degradation Application virtualization High performance computing Ethernet networks Concurrent computing Grid computing |
| Content Type | Text |
| Resource Type | Article |
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