Block Trace Analysis and Storage System Optimization: A Practical Approach ...
Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Block Trace Analysis And Storage System Optimization: A Practical Approach With Matlab/Python ToolsISBN13:9781484239278ISBN10:148423927XAuthor:Xu, Jun (Author)Description: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 Performancemaster An Essential Analytical Skill Using Block Trace Via Various Applicationsdistinguish How The Io Pattern Differs In The Block Level From The File Levelknow How The Sequential Hdfs Request Becomes Fragmented In Final Storage Devicesperform Trace Analysis Tasks With A Tool Based On The Matlab And Python Platformswho 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 Binding:Paperback, PaperbackPublisher:APRESSPublication Date:2019-01-05Weight:0.91 lbsDimensions:0.61'' H x 9.21'' L x 6.14'' WNumber of Pages:271Language:English
Specifications
| Return Shipping Will Be Paid By | Buyer |
| All Returns Accepted | Returns Accepted |
| Item Must Be Returned Within | 30 Days |
| Refund Will Be Given As | Money Back |
| Item Length | 9.3in. |
| Item Width | 6.1in. |
| Author | Jun Xu |
| Format | Trade Paperback |
| Language | English |
| Publisher | Apress L. P. |
| Publication Year | 2018 |
| Type | Textbook |
| Item Weight | 16 Oz |
| Number Of Pages | Xvii, 271 Pages |
Please refer to the section BELOW (and NOT ABOVE) this line for the product details – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – Title:Block Trace Analysis And Storage System Optimization: A Practical Approach With Matlab/Python ToolsISBN13:9781484239278ISBN10:148423927XAuthor:Xu, Jun (Author)Description: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 Performancemaster An Essential Analytical Skill Using Block Trace Via Various Applicationsdistinguish How The Io Pattern Differs In The Block Level From The File Levelknow How The Sequential Hdfs Request Becomes Fragmented In Final Storage Devicesperform Trace Analysis Tasks With A Tool Based On The Matlab And Python Platformswho 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 Binding:Paperback, PaperbackPublisher:APRESSPublication Date:2019-01-05Weight:0.91 lbsDimensions:0.61» H x 9.21» L x 6.14» WNumber of Pages:271Language:English
