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Exploring Cloud Opportunities from an Array Database Perspective
| Content Provider | ACM Digital Library |
|---|---|
| Author | Dumitru, Alex Merticariu, Vlad Baumann, Peter |
| Abstract | Since array data of arbitrary dimensionality appears in massive amounts in a wide range of application domains, such as geographic information systems, climate simulations, and medical imaging, it has become crucial to build scalable systems for complex query answering in real time. Cloud architectures can be expected to significantly speed up array databases. We present an enhancement of the well-established Array DBMS rasdaman with intra-query distribution capabilities: requests, incoming in the form of database queries, are broken into sub-queries which are then distributed in a network of known peers. The splitting strategies ensure that the network's processing power is fully exploited, while at the same time enabling optimizations such as network traffic minimization. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450329972 |
| DOI | 10.1145/2627770.2627775 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-06-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Rasdaman Big data Distributed array databases |
| Content Type | Text |
| Resource Type | Article |
