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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhenhuan Gong Boyuka, D.A. Xiaocheng Zou Qing Liu Podhorszki, N. Klasky, S. Xiaosong Ma Samatova, N.F. |
| Copyright Year | 2013 |
| Description | Author affiliation: Oak Ridge Nat. Lab., Oak Ridge, TN, USA (Qing Liu; Podhorszki, N.; Klasky, S.) || North Carolina State Univ., Raleigh, NC, USA (Zhenhuan Gong; Boyuka, D.A.; Xiaocheng Zou; Xiaosong Ma; Samatova, N.F.) |
| Abstract | The size and scope of cutting-edge scientific simulations are growing much faster than the I/O and storage capabilities of their run-time environments. The growing gap is exacerbated by exploratory, data-intensive analytics, such as querying simulation data with multivariate, spatio-temporal constraints, which induces heterogeneous access patterns that stress the performance of the underlying storage system. Previous work addresses data layout and indexing techniques to improve query performance for a single access pattern, which is not sufficient for complex analytics jobs. We present PARLO a parallel run-time layout optimization framework, to achieve multi-level data layout optimization for scientific applications at run-time before data is written to storage. The layout schemes optimize for heterogeneous access patterns with user-specified priorities. PARLO is integrated with ADIOS, a high-performance parallel I/O middleware for large-scale HPC applications, to achieve user-transparent, light-weight layout optimization for scientific datasets. It offers simple XML-based configuration for users to achieve flexible layout optimization without the need to modify or recompile application codes. Experiments show that PARLO improves performance by 2 to 26 times for queries with heterogeneous access patterns compared to state-of-the-art scientific database management systems. Compared to traditional post-processing approaches, its underlying run-time layout optimization achieves a 56% savings in processing time and a reduction in storage overhead of up to 50%. PARLO also exhibits a low run-time resource requirement, while also limiting the performance impact on running applications to a reasonable level. |
| Starting Page | 343 |
| Ending Page | 351 |
| File Size | 432518 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781467364652 |
| e-ISBN | 9780769549965 |
| DOI | 10.1109/CCGrid.2013.58 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-05-13 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Layout Optimization Middleware XML Indexes Arrays Writing |
| Content Type | Text |
| Resource Type | Article |
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