Linux Atomic Operations

MapReduce: Simple data processing on large cluster

"Editor's note" Docker and CoreOS are excellent "graduates" of the Silicon Valley incubator, and it is said that two bosses have a good personal relationship, Docker do container engines, CoreOS container management, cooperation is very happy, but with the release of Rocket gradually "parted". Although Docker and CoreOS are seeking "Jane", but Docker "Jane" is to strive to achieve the most convenient use of the user, CoreOS "Jane" is the pursuit of the ultimate lightweight, which will be the future of container technology, in fact, it is difficult ...

It companies around the world are working to virtualize and automate data centers in the hope of helping their business achieve higher value and lower costs, delivering new data-driven services faster and more efficiently. Intel (R) Xeon (TM) processor-based servers provide the foundation for this innovation. These servers account for the vast majority of all servers in the current virtualization center and cloud environment, and can support most of the most high-performance workstations. Performance improvement up to 35% Intel Xeon Processor e5-2600 ...

Docker is undoubtedly the most popular open-source technology this year, and Docker is now the darling of entrepreneurs and innovators in the IT world. Regardless of Google, Microsoft, Amazon, IBM and other technology manufacturers are actively supporting Docker technology, Docker although the introduction and use is very simple, but the whole ecosystem is quite large, and its underlying technology is also very complex, the current based on Docker technology projects springing up, today, 　　The author summarizes the rapid evolution of the Docker related technology, to share with you. Kube ...

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 ...

Docker is undoubtedly the most popular open-source technology this year, and Docker is now the darling of entrepreneurs and innovators in the IT world. Regardless of Google, Microsoft, Amazon, IBM and other technology manufacturers are actively supporting Docker technology, Docker although the introduction and use is very simple, but the whole ecosystem is quite large, and its underlying technology is also very complex, the current based on Docker technology projects springing up, today, The author summarizes the rapid evolution of the Docker related technology, to share with you. Kubernet ...

Here is a translation of the Redis Official document "A fifteen minute introduction to Redis data Types", as the title says, The purpose of this article is to allow a beginner to have an understanding of the Redis data structure through 15 minutes of simple learning. Redis is a kind of "key/value" type data distributed NoSQL database system, characterized by high-performance, persistent storage, to adapt to high concurrent application scenarios. It started late, developed rapidly, has been many ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Http://www.aliyun.com/zixun/aggregation/13713.html ">hbase is a distributed, column-oriented open source database, rooted in a Google paper BigTable: A distributed storage system of structured data. HBase is an open-source implementation of Google BigTable, using Hadoop HDFs as its file storage system, using Hadoop mapreduce to handle ...

"51CTO classic" I like MongoDB mainly because it is so simple and natural to use it in dynamic languages. So far, I've used it in two projects (Encode and SPARRW), although I'm very happy with the choice, but there are some problems I haven't noticed, and these problems have kept me scratching my scalp for hours. If you have more than one machine, and then allocate a few more machines for the database, then some problems can be solved, but my project is running on a single (virtual) server on the low flow w ...