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Block Trace Analysis and Storage System Optimization : A Practical Approach W...
US $31.98
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eBay item number:357549492746
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Block Trace Analysis and Storage System Optimization : A Practica
- ISBN
- 9781484239278
About this product
Product Identifiers
Publisher
Apress L. P.
ISBN-10
148423927X
ISBN-13
9781484239278
eBay Product ID (ePID)
28038385216
Product Key Features
Number of Pages
Xvii, 271 Pages
Language
English
Publication Name
Block Trace Analysis and Storage System Optimization : a Practical Approach with Matlab/Python Tools
Subject
Mathematical & Statistical Software, Networking / General, Programming Languages / Python
Publication Year
2018
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Chapter 1: Introduction.- Chapter 2: Trace Characteristics.- Chapter 3: Trace Collection.- Chapter 4: Trace Analysis.- Chapter 5: Case Study: Benchmarking Tools.- Chapter 6: Case Study: Modern Disks.- Chapter 7: Case Study: RAID.- Chapter 8: Case Study: Hadoop.- Chapter 9: Case Study: Ceph.- Appendix A: Tools and Functions.- Appendix B: Blktrace and Tools
Synopsis
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 being deployed to develop high-performance data storage solutions. Among the various storage system performance analysis techniques, IO event trace analysis (block-level trace analysis particularly) is one of the most common approaches for system optimization and design. However, the task of completing a systematic survey is challenging and very few works on this topic exist. Block Trace Analysis and Storage System Optimization brings together theoretical analysis (such as IO qualitative properties and quantitative metrics) and practical tools (such as trace parsing, analysis, and results reporting perspectives). The book provides content on block-level trace analysis techniques, and includes case studies to illustrate how these techniques and tools can be applied in real applications (such as SSHD, RAID, Hadoop, and Ceph systems). What You'll Learn Understand the fundamental factors of data storage system performance Master an essential analytical skill using block trace via various applications Distinguish how the IO pattern differs in the block level from the file level Know how the sequential HDFS request becomes "fragmented" in final storage devices Perform trace analysis tasks with a tool based on the MATLAB and Python platforms Who This Book Is For IT professionals interested in storage system performance optimization: network administrators, data storage managers, data storage engineers, storage network engineers, systems engineers, 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 being deployed to develop high-performance data storage solutions. Among the various storage system performance analysis techniques, IO event trace analysis (block-level trace analysis particularly) is one of the most common approaches for system optimization and design. However, the task of completing a systematic survey is challenging and very few works on this topic exist. Block Trace Analysis and Storage System Optimization brings together theoretical analysis (such as IO qualitative properties and quantitative metrics) and practical tools (such as trace parsing, analysis, and results reporting perspectives). The book provides content on block-level trace analysis techniques, and includes case studies to illustrate how these techniques and tools can be applied in real applications (such as SSHD, RAID, Hadoop, and Ceph systems). What You'll Learn Understand the fundamental factors of data storage system performance Master an essential analytical skill using block trace via various applications Distinguish how the IO pattern differs in the block level from the file level Know how the sequential HDFS request becomes "fragmented" in final storage devices Perform trace analysis tasks with a tool based on the MATLAB and Python platforms Who This Book Is For IT professionals interested in storage system performance optimization: network administrators, data storage managers, data storage engineers, storage network engineers, systems engineers
LC Classification Number
TK5105.5-5105.9
Item description from the seller
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Seller feedback (388,641)
- k***x (1024)- Feedback left by buyer.Past monthVerified purchaseFine, just as described
- n***p (2241)- Feedback left by buyer.Past monthVerified purchaseYeah quality, Yeah Condition, Yeah Value, Yeah Appearance! The tell us more portion of these sales is annoying!
- r***e (2102)- Feedback left by buyer.Past monthVerified purchasePackage was well packaged, received, and shipped fast!! Book was as described. What a deal! Thank you 😊 I recommend this seller!!