Tuple Data Structure

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The future of mass storage--memory cloud?

Tcl's founder, academician of the American Academy of Engineering, and ACM fellow John Ousterhout are currently teaching at Stanford University, and his main research projects in recent years have been ramcloud--memory clouds. As the name suggests, Ramcloud is such a new data center storage system, which is a large-scale system composed of thousands of ordinary server main memory, at any time, all information is stored in these fast dram (dynamic random access memory, commonly known as memory), Memory replaces the traditional system in the hard drive, the hard drive only ...

Lucene-hadoop, a simple implementation of map/reduce in GFs

Hadoop is a framework for building distributed applications. The Hadoop framework provides a stable and reliable set of interfaces for applications to be transparent. The implementation of this technology can be easily mapped/reduced programming paradigm. In this paradigm, an application is split into many small task blocks. Each such task block is executed or restarted by the computer of any node in the cluster. In addition, this paradigm provides a distributed file system that is used to store data on computers with high bandwidth between each other in the cluster. Mapping/attribution and distributed text ...

Store billions of photos, how does Facebook do it?

Sharing photos is already one of the most popular features on Facebook. So far, users have uploaded more than 1.5 billion photos, making Facebook the biggest photo-sharing site. For each uploaded photo, Facebook generates and stores four images of different sizes, which translates into 6 billion photos, with a total capacity of over 1.5PB. At present, the rate of 2.2 million new photos per week increases, which is equivalent to an additional 25TB of storage per week. And in the peak per second need transmission ...

Spark: A framework for cluster computing on a workgroup

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

Facebook Image Storage Architecture Learning

Sharing photos is one of the most popular features of Http://www.aliyun.com/zixun/aggregation/1560.html's >facebook. So far, users have uploaded more than 1.5 billion photos, making Facebook the largest photo-sharing site. For each uploaded photo, Facebook generates and stores four images of different sizes, converting to a total of 6 billion photos with a total capacity of over 1.5PB. Currently 2.2 million new photos per week ...

The limitations of SQL transforming relational database to NoSQL

NoSQL systems generally advertise a feature that is good performance and then why? relational database has developed for so many years, various optimization work has been done very deep, nosql system is generally absorbing relational database technology, and then, in the end what is the constraints on the performance of relational database? We look at this problem from the perspective of http://www.aliyun.com/zixun/aggregation/9344.html "> System design." 1, index support. Relational data ...

Nginx Log real-time monitoring system based on Storm

The drawbacks of "editor's note" Hadoop are also as stark as its virtues--large latency, slow response, and complex operation. is widely criticized, but there is demand for the creation, in Hadoop basically laid a large data hegemony, many of the open source project is to make up for the real-time nature of Hadoop as the goal is created, Storm is at this time turned out, Storm is a free open source, distributed, A highly fault-tolerant real-time computing system. The storm makes continuous flow calculation easy, making up for the real-time ...

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