Oracle Container

With the advantages of rapid deployment, energy efficiency, modular architecture, and mobility, the container data center began its rapid commercial deployment phase in 2011. For the container data center, the past 2011, can be said to be its landing in China, the year of application. This year, not only many manufacturers have launched their corresponding products, and operators began to consider the size of the deployment of container data centers. However, the research institute pointed out that the container data center is mainly used for a number of special business and data center location requirements, but want to popularize, it will take a long time, the next 3 years as the overall data center City ...

Blink of an eye, the first half of 2011 has gradually faded out of people's vision. In this six months, major manufacturers have unveiled a new generation of "cloud Center"-Data center. There are both open data centers, container data centers, new data center cooling systems, and data center "things". In particular, since last year, major manufacturers have demonstrated the wonderful nature of the various data centers, but also to the industry's attention. Next, let's briefly review the content. "Type" data center 1, the safest data center in the safest data center is famous ...

A, virtualization virtualization refers to the ability to simulate multiple virtual machines on the same physical machine. Each virtual machine has a separate processor, memory, hard disk, and network interface logically. The use of virtualization technology can improve the utilization of hardware resources, so that multiple applications can run on the same physical machine with each other isolated operating environment. There are also different levels of virtualization, such as virtualization at the hardware level and virtualization at the software level. Hardware virtualization refers to the simulation of hardware to obtain a similar to the real computer environment, you can run a complete operating system. In the hardware virtual ...

Cloud computing is not just a buzzword. It is a big trend for moving from an internal data center to a third-party facility. There are a number of smaller trends in that big trend, which have important implications for industry and IT operations. 　　Here is a future outlook for cloud leaders to see the most significant trend of the 2014. Cloud computing and CDN boundaries are more blurred, the network will be more effective this may be the last bastion on the road to embracing the cloud, and the network will continue to be the focus in 2014. "Edge" computing has aroused widespread interest, at the same time, cloud computing has become ...

Since March 20, 2013 Docker appeared in front of developers, less than two years now. "Docker has transformed from a great idea into a great technology, and from a great technology to a great ecosystem, and even from a great ecosystem to a great movement." "I remember at the Docker summit in 2013, developers were still talking about Docker, and at the 2014 Amsterdam Summit, participants were already sharing its case." However, Docker's business ...

The Battle of cloud Computing in the enterprise market has begun: new cloud service providers such as AWS have moved the cheese of traditional it giants in the corporate market, and traditional giants have struggled to fight back. With the advent of traditional it giants, PAAs markets have become more cluttered than ever before. 　　The only definite consensus seems to be one: everyone likes the word "platform/platform," because the word "platform" has unlimited imagination. More and more people are starting to talk and focus on PAAs, including operators, internet giants, traditional it vendors, consulting and integration ...

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

At present, China has launched the rapid development of cloud computing boom. The hype of the media, the build-up of capital, and the commercial propaganda of a lot of academic activities, are desperately warming up the concept of cloud computing. Together with Google, IBM, Microsoft and other IT giants to unprecedented speed and scale of cloud computing promotion and speculation. But also put cloud computing on the peak. Cloud planning, Cloud outline, Cloud project, Cloud base seem to have become the most beautiful scenery line in the new development plan of all levels of government. With the unprecedented upsurge of cloud computing enthusiasm around the world, a time of many governments to introduce preferential policies, rapid layout, happy circle ...

As the amount of data contained in business transactions continues to increase, service providers are looking for ways to make data management for the public cloud easier. Big data is becoming more and more important, and cloud service providers want to get involved in the Enterprise database field. Research institute IDC predicts that large data will increase at a rate of 60% a year, with structured and unstructured data. Enterprises need to find ways to play the role of these data, and for a long time the database is a very good solution. Today, service providers are using cloud technology to introduce more ways to host these databases in a public cloud, from cumbersome ...

As we all know, Java in the processing of data is relatively large, loading into memory will inevitably lead to memory overflow, while in some http://www.aliyun.com/zixun/aggregation/14345.html "> 　　Data processing we have to deal with massive data, in doing data processing, our common means is decomposition, compression, parallel, temporary files and other methods; For example, we want to export data from a database, no matter what the database, to a file, usually Excel or ...