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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nicolae, Bogdan Riteau, Pierre Keahey, Kate |
| Copyright Year | 2014 |
| Abstract | Storage elasticity on IaaS clouds is a crucial feature in the age of data-intensive computing. However, the traditional provisioning model of leveraging virtual disks of fixed capacity and performance characteristics has limited ability to match the increasingly dynamic nature of I/O application requirements. This mismatch is particularly problematic in the context of scientific applications that interleave periods of I/O inactivity with I/O intensive bursts. In this context, over-provisioning for best performance during peaks leads to significant extra costs because of unnecessarily tied-up resources, while any other trade-off leads to performance loss. This paper provides a transparent solution that automatically boosts I/O bandwidth during peaks for underlying virtual disks, effectively avoiding over-provisioning without performance loss. Our proposal relies on the idea of leveraging short lived virtual disks of better performance characteristics (and thus more expensive) to act during peaks as a caching layer for the persistent virtual disks where the application data is stored. We show how this idea can be achieved efficiently at the block-device level, using a caching mechanism that leverages iterative behavior and learns from past experience. We demonstrate the benefits of our proposal both for micro benchmarks and for two real life applications using large-scale experiments. |
| Starting Page | 186 |
| Ending Page | 195 |
| File Size | 316829 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781479978816 |
| DOI | 10.1109/UCC.2014.27 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-08 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Performance evaluation Cloud computing Block-level caching Virtual machine monitors Virtual disk Bandwidth Elasticity Storage elasticity Throughput Adaptive I/O |
| Content Type | Text |
| Resource Type | Article |
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