vanillajava.blogspot.com

vanilla-java.github.io

Batching and Low Latency

https://vanilla-java.github.io/2016/07/09/Batching-and-Low-Latency.html

Batching and Low Latency. Most answers for Java and JVM on StackOverflow.com ( 12K), Vanilla Java blog with four million views, founder of the Performance JUG, Java Champion. This is testing the next release of Chronicle Queue 4.5.0. Why batch your data? Why do batches help/hinder? When your system has an operation with a significant latency, you can utilise more of the available bandwidth by increasing the batch size. Imagine you have a questionaire with 10 questions you want to ask someone. You cou...

vanilla-java.github.io

Why don't I get the throughput I benchmarked?

https://vanilla-java.github.io/2016/07/23/Why-dont-I-get-the-throughput-I-benchmarked.html

Why don't I get the throughput I benchmarked? Most answers for Java and JVM on StackOverflow.com ( 12K), Vanilla Java blog with four million views, founder of the Performance JUG, Java Champion. What is Little’s Law? This law comes from queuing theory, an example being the number of customers in a store. Little's Law tells us that the average number of customers in the store L, is the effective arrival rate λ, times the average time that a customer spends in the store W. L=λ × W. 1 every 10 minutes.

vanilla-java.github.io

Improving performance with simple compression

https://vanilla-java.github.io/2016/07/22/Improving-performance-with-simple-compression.html

Improving performance with simple compression. Most answers for Java and JVM on StackOverflow.com ( 12K), Vanilla Java blog with four million views, founder of the Performance JUG, Java Champion. Chronicle Wire supports multiple Wire Formats such as YAML, JSON and CSV. It also supports a binary format of YAML for performance. Chronicle Wire Enteprise has an additional Wire Format which performs simple compression which can be faster AND smaller than not compressing data. A sample data structure in Java.

frommyworkshop.blogspot.com

My workspace: 3/1/15 - 4/1/15

http://frommyworkshop.blogspot.com/2015_03_01_archive.html

A journey to designing high performance software based on NoSQL, BigData and SOA. Book: High performance in-memory computing with apache Ignite. Being author is fun, my first book is going to be published in the end of this year. For now, a sample chapter is available for download . . Tuesday, March 17, 2015. Tuning and optimization J2EE web application for HighLoad. 1) Java 1.7 47. 2) IBM WEBSphere 8.5 as Application server. 3) Nginx as web server. 4) Alteon as load balancer. 5) Oracle 11gR2 as DataBase.

gettingcirrius.com

Getting Cirrius: Calculating Similarity (Part 1): Cosine Similarity

http://www.gettingcirrius.com/2010/12/calculating-similarity-part-1-cosine.html

Meandering thoughts about technology and management. Sunday, December 5, 2010. Calculating Similarity (Part 1): Cosine Similarity. Dot Product, 2010). Cosine similarity is literally the angular difference between two vectors. Cosine Similarity is expressed by the formula:. Cosine Similarity, 2010). For those of you allergic that don't speak "mad mathematician" (like me), to calculate the cosine similarity, we need to:. Take the dot product of vectors A and B. Calculate the magnitude of Vector A. In the c...

frommyworkshop.blogspot.com

My workspace: 8/1/13 - 9/1/13

http://frommyworkshop.blogspot.com/2013_08_01_archive.html

A journey to designing high performance software based on NoSQL, BigData and SOA. Book: High performance in-memory computing with apache Ignite. Being author is fun, my first book is going to be published in the end of this year. For now, a sample chapter is available for download . . Sunday, August 11, 2013. An impatient start with Cascading. All the examples of the book could be found from the git hub. I have cloned the project from the Git hub and ready to run the examples. Project Impatient compi...

frommyworkshop.blogspot.com

My workspace: 7/1/14 - 8/1/14

http://frommyworkshop.blogspot.com/2014_07_01_archive.html

A journey to designing high performance software based on NoSQL, BigData and SOA. Book: High performance in-memory computing with apache Ignite. Being author is fun, my first book is going to be published in the end of this year. For now, a sample chapter is available for download . . Sunday, July 27, 2014. Book Review: Cassandra Design Patterns. This post is my review of the Packt Publishing book Cassandra Design patterns. Preface: What this book covers and Who this book is for. Chapter 2: An Overview o...

frommyworkshop.blogspot.com

My workspace: 6/1/14 - 7/1/14

http://frommyworkshop.blogspot.com/2014_06_01_archive.html

A journey to designing high performance software based on NoSQL, BigData and SOA. Book: High performance in-memory computing with apache Ignite. Being author is fun, my first book is going to be published in the end of this year. For now, a sample chapter is available for download . . Sunday, June 22, 2014. Links to this post. IT Architect, SOA solution . Designer, speaker and Big . Data evangelist. Independent . Consultant on BigData and . HighLoad systems. Actively . 160;designing high . Check me out on.

frommyworkshop.blogspot.com

My workspace: 5/1/15 - 6/1/15

http://frommyworkshop.blogspot.com/2015_05_01_archive.html

A journey to designing high performance software based on NoSQL, BigData and SOA. Book: High performance in-memory computing with apache Ignite. Being author is fun, my first book is going to be published in the end of this year. For now, a sample chapter is available for download . . Monday, May 25, 2015. Microservices – under the hood. 1 Service should be loosely coupled. 2 High cohesion in functionality. 3 Service should be change with minimal effect on other services. 4 Automated in deployments.

bananalighter.com

堆外内存（off-heap），堆内存（on-heap） | 香蕉与打火机

http://bananalighter.com/java-off-heap-on-heap

堆外内存 off-heap ，堆内存 on-heap. 原文 http:/ www.infoq.com/cn/news/2014/12/external-memory-heap-memory/. 在文中他对三种方式 用new来分配对象、对象池 object pool 和堆外内存，进行了详细的分析。 点击以在 Twitter 上共享 在新窗口中打开. 在 Facebook 上共享 在新窗口中打开. 点击以在 Google 上共享 在新窗口中打开. Larr; Previous post. Next post →. Let’s spark (1). Linux sftp user jailed into home directory. 发表在 mysql MHA keepalived 实现高可用.