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Cookie akzeptierenJun Xu
Block Trace Analysis and Storage System Optimization
- Apress
- 2018
- Taschenbuch
- 292 Seiten
- ISBN 9781484239278
Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the storage system bottleneck, and designing the cache policy). In the new era of IoT, big data, and cloud systems, better performance and higher density of storage systems has become crucial. To increase data storage density, new techniques have evolved and hybrid and parallel access techniques¿together with specially designed IO scheduling and data migration algorithms¿are
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