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Jun Xu

Block Trace Analysis and Storage System Optimization

A Practical Approach with MATLAB/Python Tools

Ebook (PDF Format)

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 s… Mehr

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Produktdetails


  • ISBN: 978-1-4842-3928-5
  • EAN: 9781484239285
  • Produktnummer: 29359037
  • Verlag: Apress
  • Sprache: Englisch
  • Erscheinungsjahr: 2018
  • Plattform: PDF
  • Masse: 9'928 KB

Über den Autor


Jun Xu got his B.S. in Mathematics and Ph.D. in Control from Southeast University (China) and Nanyang Technological University (Singapore), respectively. He is a Lead Consultant Specialist in Hongkong-Shanghai Banking Corporation (HSBC) and was a Principal Engineer in Western Digital. Before that, he was with Data Storage Institute, Nanyang Technological University, and National University of Singapore for research and development. He has multi-discipline knowledge and solid experiences in complex system modeling and simulation, data analytics, data center, cloud storage, and IoT. He has published over 50 international papers and 15 US patents (applications) and 1 monograph. He is an editor of the journal Unmanned Systems and was a committee member of several international conferences. He is a senior member of IEEE and a certificated FRM.

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