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Challenges for Parallel I/o in Grid Computing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ching, Avery Coloma, Kenin Choudhary, Alok |
| Copyright Year | 2006 |
| Abstract | GRID computing uses heterogeneous resources to solve large-scale computational problems. With increasing dataset sizes in data-intensive GRID applications reaching terabytes and even petabytes, high-performance I/O is emerging as an important research area. We discuss much of the current status of research in GRID I/O. We also describe our research ideas for handling noncontiguous I/O access, consistency, caching, fault-tolerance and improved performance. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://users.eecs.northwestern.edu/~choudhar/Publications/ChiCol06A.pdf |
| Alternate Webpage(s) | http://www.ece.northwestern.edu/~choudhar/Publications/ChiCol06A.pdf |
| Alternate Webpage(s) | http://cucis.ece.northwestern.edu/publications/pdf/ChiCol06A.pdf |
| Alternate Webpage(s) | http://cucis.eecs.northwestern.edu/publications/pdf/ChiCol06A.pdf |
| Alternate Webpage(s) | http://users.eecs.northwestern.edu/~choudhar/Publications/ChallengesForParallelIOInGridComputing.pdf |
| Alternate Webpage(s) | http://www.ece.northwestern.edu/~choudhar/publications/pdf/ChiCol06A.pdf |
| Alternate Webpage(s) | http://www.ece.northwestern.edu/~choudhar/Publications/ChallengesForParallelIOInGridComputing.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
