Linux Process Memory Map

I. Introduction We often see some similar in the program disassembled code 0 × 32118965 this address, the operating system called linear address, or virtual address. What is the use of virtual address? Virtual address is how to translate into physical memory address? This chapter will give a brief account of this. 1.1 Linux Memory Addressing Overview Modern operating systems are in 32-bit protected mode. Each process can generally address 4G of physical space. But our physical memory is generally hundreds of M, the process can get 4 ...

Companies such as IBM®, Google, VMWare and Amazon have started offering cloud computing products and strategies. This article explains how to build a MapReduce framework using Apache Hadoop to build a Hadoop cluster and how to create a sample MapReduce application that runs on Hadoop. Also discusses how to set time/disk-consuming ...

MapReduce: Simple data processing on large cluster

Blog Description: 1, research version hbase 0.94.12;2, posted source code may be cut, only to retain the key code. 　　Discusses the HBase write data process from the client and server two aspects. One, client-side 1, write data API write data is mainly htable and batch write two API, the source code is as follows://write the API public void to put ("final") throws IO ...

As the largest Chinese search engine company in the world, Baidu offers a variety of products based on search engines and covers almost all search needs in the Chinese online world. Therefore, Baidu requires relatively large amounts of data to be processed online. Analysis, but also within the prescribed time processing and feedback to the platform. Baidu's platform needs in the Internet area to be handled by the cloud platform with better performance, Hadoop is a good choice. In Baidu, Hadoop is mainly used in the following areas: log ...

Hadoop streaming is a multi-language programming tool provided by Hadoop that allows users to write mapper and reducer processing text data using their own programming languages such as Python, PHP, or C #. Hadoop streaming has some configuration parameters that can be used to support the processing of multiple-field text data and participate in the introduction and programming of Hadoop streaming, which can be referenced in my article: "Hadoop streaming programming instance". However, with the H ...

MongoDB company formerly known as 10gen, founded in 2007, in 2013 received a sum of 231 million U.S. dollars in financing, the company's market value has been increased to 1 billion U.S. dollar level, this height is well-known open source company Red Hat (founded in 1993) 20 's struggle results. High-performance, easy to expand has been the foothold of the MongoDB, while the specification of documents and interfaces to make it more popular with users, this point from the analysis of the results of Db-engines's score is not difficult to see-just 1 years, MongoDB finished the 7th ...

As a new computing model, cloud computing is still in its early stage of development. Many different sizes and types of providers provide their own cloud-based application services. This paper introduces three typical cloud computing implementations, such as Amazon, Google and IBM, to analyze the specific technology behind "cloud computing", to analyze the current cloud computing platform construction method and the application construction way. Chen Zheng People's Republic of Tsinghua University 1:google cloud computing platform and application Google's cloud computing technology is actually for go ...

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; When using Hadoop for Graysort Benchmarking, Yahoo! 's researchers modified the map/reduce application above to accommodate the new rule, which is divided into 4 parts: Teragen is the map/reduce that produces the data ...

In the past few years, the use of Apache Spark has increased at an alarming rate, usually as a successor to the MapReduce, which can support thousands of-node-scale cluster deployments. In the memory data processing, the Apache spark is more efficient than the mapreduce has been widely recognized, but when the amount of data is far beyond memory capacity, we also hear some organizations in the spark use of trouble. Therefore, with the spark community, we put a lot of energy to do spark stability, scalability, performance, etc...