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How do I run compute-intensive tasks in the cloud?

The advent of the public cloud has brought massive HPC resources to ordinary companies. In many cases, especially for temporary HPC projects, cloud solutions are more cost effective than internal purchases of the necessary computing resources.   Prior to the advent of the public cloud, only a handful of companies, such as large financial services companies, had the funds to buy the resources necessary for high-performance computing. In the past year, we can see that there is a considerable demand for customers in the market, and many companies in many industries are testing software platforms for large-scale HPC clusters. When we first to the traditional HPC supply ...

Facebook unveiled the Open Compute Project

Facebook unveiled its open Compute project in April 2011, a strong earthquake for the information industry. It is noteworthy that Facebook not only exposes technical documents, but even the design of CAD drawings for servers and data centers is completely open. Facebook's move was also thought to have been likened to a paper published in 2004 by Google MapReduce. Google's openness in the years actually started the cloud-computing campaign that is now raging. and face ...

Summary of the use of Amzon elastic Cloud Compute EC2 and S3

As a result of customer requirements, to move our project to the current Anglo popular cloud computing, so not to start the Amazon elastic Cloud compute understanding. Today finally completed the project into the cloud computing demo, gossip not to say, the first time to use the idea of sorting out. I. Several more important concepts 1. EC2 Full name Amazon elastic Compute Cloud, is Amazon in 2006 launched a new generation of hosting services. 2.

IBM pureapplication System A boxed cloud computing systems

IBM pureapplication System (W1500 and W1700 v1.0 and v1.1) is a boxed cloud computing system with hardware and software to deploy and execute workloads in the cloud, with all the functionality required to add a private cloud environment to an enterprise data center. This article outlines the hardware contained in Pureapplication system and uses the system console to view individual components. This article is part 1th of a series of three articles that will introduce ...

Cloud computing four ways to efficiently and cost-effectively compute virtualization and cloud costs

Now, almost all IT industry vendors and analysts have reached the consensus that almost all types of virtualization solutions offer fast, efficient, cost-saving advantages over traditional computing methods. Based on the IDC system and virtualization software group research analyst LAN song, in particular server virtualization, in the early stages of VMware migration can quickly achieve return on investment. "People have a good feeling about server virtualization because it's easy to accept and can recoup investment within 6 months, you can put 4 or more servers in one ...

Four ways to compute virtualization and cloud costs

Now, almost all IT industry vendors and analysts have reached the consensus that almost all types of virtualization solutions offer fast, efficient, cost-saving advantages over traditional computing methods.   Based on the IDC system and virtualization software group research analyst LAN song, in particular server virtualization, in the early stages of VMware migration can quickly achieve return on investment. Prepare for the real cost of cloud computing "people have a crush on server virtualization because it's easy to accept and can recoup investment within 6 months ...

Four ways to accurately compute virtualization and cloud costs

Today, almost all IT industry vendors and analysts have reached the consensus that almost all types of virtualization solutions offer fast, efficient, cost-saving advantages over traditional computing methods. The IDC system and virtualization software group research analyst LAN Song says that, in particular server virtualization, the return on investment can be achieved quickly in the early stages of VMware migration. He said: "People have a good feeling about server virtualization, because it can be back in 6 months of investment, and you can have 4 or more of the service ...

Facebook Data Center Practice analysis, OCP main work results

Editor's note: Data Center 2013: Hardware refactoring and Software definition report has a big impact. We have been paying close attention to the launch of the Data Center 2014 technical Report. In a communication with the author of the report, Zhang Guangbin, a senior expert in the data center, who is currently in business, he says it will take some time to launch. Fortunately, today's big number nets, Zhangguangbin just issued a good fifth chapter, mainly introduces Facebook's data center practice, the establishment of Open Computing Project (OCP) and its main work results. Special share. The following is the text: confidentiality is the data ...

Outraged, ten questions, big data.

In the internet age, large data is hot, many people must pro data, but can really say that the big data is not much, not to mention how to use large data to dig out the great business value.   How do you define large data? What are the characteristics of large data? This paper aims to clarify the concept of large data, illustrate the application of large data and explore the future development of large data.   Q1: Is big Data a commercial hype? The industry's definition of large data is 4 "V": Large volume (Volume), multiple species (produced), fast (velocity) ...

"Book pick" large data development of the first knowledge of Hadoop

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 ...

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