ORACLE DATABASE PERFORMANCE AND SCALABILITY A QUANTITATIVE APPROACH PDF

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Oracle Database Performance and Scalability: A Quantitative Approach /. Henry H. etgabentisttus.ga Oracle Database Performance and Scalability: A Quantitative Approach. Author(s ). Henry H. Liu. First published October Print ISBN Oracle Database Performance and Scalability quantitative software eng new Henry H. Oracle database performance and scalability: a quantitative approach / Henry /epdf For Oracle Grid Control versus DB Control, refer to the .


Oracle Database Performance And Scalability A Quantitative Approach Pdf

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Oracle Database Performance and Scalability: A Quantitative Approach [Henry H. Liu] on etgabentisttus.ga *FREE* shipping on qualifying offers. The innovative. oracle database performance and scalability a quantitative approach thomas calculus early transcendentals 12th edition solutions manual pdf, api Feb 23, Oracle Database Performance and Scalability is an ideal text for pre-conditioning college Request Full-text Paper PDF Fuzzy logics approach the problem with the assumption that the input is inherently inaccurate, e.g. a.

Oracle Database Performance and Scalability: A Quantitative Approach

This can all be done in a spreadsheet tool like Excel or OpenOffice. It cannot foretell the onset of broken measurements or intrinsic pathologies. When the data diverge from the model, that does not automatically make the model wrong. You need to stop measuring and find out why.

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If the parameter values are poor, you cannot use it to tell you what to fix. All that information is in there alright, but it's compressed into the values of those two little parameters. However, other people e. The main issue is determining the appropriate independent variable, e.

Then you only need X N data as the dependent variable to regress against. Those X N values should be determined from data that are collected during a measurement window with as few large-transient effects as possible, i.

Liu H.H. Oracle Database Performance and Scalability: A Quantitative Approach

The idea is, instead of just considering a simple curve fit to the data points, we let the data fall across a number of regions whose boundaries are defined by a set of fitted scalability curves. The boundaries define zones as shown below.

Moreover, these zones can be directly indentified with queueing effects and this can be immensely helpful to apps developers looking for ways to tweak their code to improve performance. It also has good chapters on explaining various garbage collection algorithms e. You will learn how each of them works in different conditions, how to monitor them and how to tune them.

Liu H.H. Oracle Database Performance and Scalability: A Quantitative Approach

It also includes a full chapter on heap analysis and optimization. This will teach you common things like how to take heap dumps and histograms in Java, and then introduces many ways to decrease your heap memory footprint.

Similarly, it has a complete chapter explaining about multi-threading issues, pitfalls and impact on performance. It also touches base on the cost of synchronization and false sharing, tuning JVM threads e.

This chapter presents some classic core Java tuning tips and their impact. This was actually the first chapter I read and I fall in love with its content and style. If you like to quickly gauge the book by yourself, I suggest starting with this chapter. Java Performance Companion by Charlie Hunt This is one of the most up-to-date books on Java Performance tuning and writing code which execute faster in Java.

This was the book which told me that performance of Java application will be limited by three main factors CPU, Memory and IO both Disk and Network , and surprisingly many developers who know how to use profiler doesn't know this basic fact.

This book is very much similar to the one which replaced it from the top. It has chapters explaining how to take measurements of performance, explaining tools necessary to measure CPU, Memory, and IO.

Chapters on explaining How Garbage collection works , different GC algorithms e. To give you some credibility and hint what you can expect in this book, Charlie Hunt is the JVM performance lead engineer at Oracle.

While, Binu John is a senior performance engineer at Ning, Inc. If you haven't read any book on Java performance tuning and want to build a good foundation for dealing with performance problems, this is the book to download. It's worth of every single penny spent.

System Performance: Enterprise and the Cloud By Brendan Gregg Systems performance analysis is an important skill for all computer users, whether you're trying to understand why your laptop is slow or optimizing the performance of a large-scale production environment. It is the study of both operating system kernel and application performance, and this book will tell you all you need to know about Linux performance monitoring and tuning.

Programmer starts with optimizing algorithms, data structure, JVM, Garbage collectors but they eventually reach to a point where System performances come into play. You may want to know why disk operations were so quick on your development box, but became a major issue on the production box, how CPU caching effect so much to your application, how can you leverage L1, L2, and L3 Cache, and Physical memory available on your machine.

In my opinion, this is the book for every programmer and not just for Java programmer. Knowing operating system basics, system calls, memory, CPU, network and disk IO, caches will certainly go long way and helps you to write a high-performance application in any programming language, including Java. Liu Before Introducing the book, let me introduce the author, he is a Ph.

You can see this book a more specialized version of his earlier best seller. As the name suggests this book is focused on performance and scalability of Java application. This book is good for Java developers, architects, and even managers. It is divided into two main parts, the first part deals with the basics of Java performance and Scalability and second part presents practices to improve performance and scalability.

The basics part contains four chapters each of them separately explores scalability of software programs, computer hardware, and Java Virtual Machine.Therefore, consider an Oracle installation experience a valuable opportunity to learn about how to set up an Oracle environment for a high potential of high performance and scalability down the road rather than merely a boring task of getting it up and running.

Current software equation 6.

This will teach you common things like how to take heap dumps and histograms in Java, and then introduces many ways to decrease your heap memory footprint. It has chapters explaining how to take measurements of performance, explaining tools necessary to measure CPU, Memory, and IO.

On the other hand, many colleges offer database courses to educate students about some basic database concepts in classrooms. I think the book should have a different title to match its content.

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Sagiroglu, S. This is the must-have book for modern day Java developer. Arfat, Y.