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  Simple explanation about process and thread

Process and thread are two basic concepts of operating system, but they are a bit abstract which cannot be  mastered easily. There is an analogy which explains these concepts very well. 1. The kernel of the computer is CPU, it handles all the computing tasks, it's like a factory and will run all the time. 2. Assume there is power limitation for the factory, it can only supply to one unit once,i.e, when one unit is working, other units must stop and wait. The meaning behind this is that eac...

   Process,Thread,CPU,Operating system     2013-04-24 11:33:10

  Parallel Javascript

Lately the ideas for a parallel, shared memory JavaScript have begun to take shape. I’ve been discussing with various JavaScript luminaries and it seems like a design is starting to emerge. This post serves as a documentation of the basic ideas; I’m sure the details will change as we go along. User Model The model is that a JavaScript worker (the “parent”) may spawn a number of child tasks (the “children”). The parent is suspended while the children exe...

   Parallel JavaScript,API,Spawn,Parent,Task     2012-01-11 12:02:00

  Microsoft Interview Riddle Questions

Every year, many people will send their resume to Microsoft and Google. So how do these IT companies hire people? What kind of interview questions will they ask. Let's see what Microsoft asked before in this article. These questions are more focusing on how you are reasoning, not necessary your technical skills. 1.  You’ve got someone working for you for seven days and a gold bar to pay them. The gold bar is segmented into seven connected pieces. You must give them a piece of gold at...

   Microsoft,Interview question,Riddle questions,Answer     2012-03-10 04:56:48

   Python – parallelizing CPU-bound tasks with multiprocessing

In a previous post on Python threads, I briefly mentioned that threads are unsuitable for CPU-bound tasks, and multiprocessing should be used instead. Here I want to demonstrate this with benchmark numbers, also showing that creating multiple processes in Python is just as simple as creating multiple threads. First, let’s pick a simple computation to use for the benchmarking. I don’t want it to be completely artificial, so I’ll use a dumbed-down version of factorization...

   Python,Multitasking,Multiprocessing,CPU bound     2012-01-17 11:38:22

  A plugin to update last_error in Delayed Job

delayed_job is a process based asynchronous task processing gem which can be ran at background. It will fork the specified number of processes to execute the tasks asynchronously. The task status is usually stored in the database so that it can be easily integrated into a Rails application where asynchronous job execution is desired. Normally when a job fails to execute or error occurs, it would save the error into the database with the column last_error. Ideally all these will be handled b...

   RUBY,RUBY ON RAILS,DELAYED JOB,LAST_ERROR     2017-11-18 13:05:49

  Memory related exception analysis in Java

Java Virtual Machine Specification divides the memory of JVM into several areas : Heap, Stack, The Program Counter register and Method area etc. In HotSpot JVM, heap is composed of Young, Tenured and Perm. There are different OutOfMemory error can happen in different memory area. Next is an overview of some of these OOM errors. StackOverflowError The JVM will allow only a specified number of stacks created nested. An JVM option -Xss can be set to determine the maximum stack size. If the num...

   Java, Memory model, Memory exception, OOM     2015-01-19 06:54:27

  What I learned from Google - You Get Fifteen Years

four years ago I was in Mountain View, California, interviewing for a position with Google. It was an odd sort of interview.  Lots of puzzles, math-like challenges, and code.  Lots, and lots, and lots of code. What struck me at Google wasn’t the challenges.  Nor was it the office environment, the cafeteria, or the mini-swimming pool, all of which were impressive. No, what struck me were the people. All of the people I met — and I mean all of them — had this ...

   Career,Technology,Programmer,Transform,Lifetime     2011-12-06 02:27:04

  When and How to Use the Go Channel

Go’s concise structure and powerful native library enable us to hit the ground running easily. It is more efficient than Java or Python when implementing the same functions, especially its concurrent programming, which is very handy and widely admired due to its goroutine and channel. goroutine and channel has much to dig into, and let’s start with channel, which I used to consider narrowly as a message queue to transfer data between gorouti...

   GOLANG,CONTEXT,CHANNEL     2022-09-17 23:06:36

  What is Hystrix and How does Hystrix work

Background In distributed systems, there is one effect where the unavailability of one service or some services will lead to the service unavailability of the whole system, this is called service avalanche effect. A common way to prevent service avalanche is do manual service fallback, in fact Hystrix also provides another option beside this. Definition of Service Avalanche Effect Service avalanche effect is a kind of effect where the service provider fails to provide service which causes t...

   AVALANCHE EFFECT,HYSTRIX,DISTRIBUTED SYSTEM     2019-02-04 06:00:38

  Why doesn't Google copy successful startup ideas?

Google is definitely one of the largest players in Internet world. It owns the most popular search engine, mobile operating system and mapping service. It not only has huge user base but also is extremely rich. It can copy and create any product that is proven to be successful with its talent pool and money. But why doesn't Google copy those successful startup ideas? Based on the current status quo and culture gene of Google, there are several reasons Google doesn't copy startup ideas. First, Go...

   Google,Startup,Copy     2013-09-11 07:03:02

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