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| Content Provider | ACM Digital Library |
|---|---|
| Author | Vazhkudai, Sudharshan S. Butt, Ali R. Monti, Henry M. |
| Abstract | High performance computing is facing an exponential growth in job output dataset sizes. This implies a significant commitment of supercomputing center resources---most notably, precious scratch space---in handling data staging and offloading. However, the scratch area is typically managed using simple "purge policies", without sophisticated "end-user data services" that are required to balance center's resource consumption and user serviceability. End-user data services such as offloading are performed using point-to-point transfers that are unable to reconcile center's purge and users delivery deadlines, unable to adapt to changing dynamics in the end-to-end data path and are not fault-tolerant. We propose a robust framework for the timely, decentralized offload of result data, addressing the aforementioned significant gaps in extant direct-transfer-based offloading. The decentralized offload is achieved using an overlay of user-specified intermediate nodes and well known landmark nodes. These nodes serve as a means both to provide multiple data-flow paths, thereby maximizing bandwidth as well as provide fail-over capabilities for the offload. We have implemented our techniques within a production job scheduler (PBS) and data transfer tool (BitTorrent), and our evaluation shows that the offloading times can be significantly reduced (90.2% for a 2.1 GB file), while also meeting center-user Service Level Agreements. |
| Starting Page | 124 |
| Ending Page | 133 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781605581583 |
| DOI | 10.1145/1375527.1375548 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-06-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Hpc center serviceability High performance data management Offloading End-user data delivery |
| Content Type | Text |
| Resource Type | Article |
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