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Research on the key problems of virtual machine deployment in cloud Platform Dong Yu, Jilin University, China This paper analyzes the current popular virtual machine deployment strategy and its related improvement methods, and analyzes the current research work of cloud computing researchers on the mechanism of virtual machine deployment. Based on this, this paper studies the customization method of virtual machine image, designs the location selection strategy of virtual machine deployment based on performance energy consumption ratio as evaluation standard, and studies the key problems of virtual machine deployment mechanism. The main contributions of this paper are as follows: (1) custom virtual machine mirrors via LFS (Linux from Scratch) ...

Machine Learning (ML) studies these patterns and encodes human decision processes into algorithms. These algorithms can be applied to several instances to arrive at meaningful conclusions.

Machine learning means learning from data; AI is a buzzword. Machine learning is not like the hype of hype: by providing the appropriate training data to the appropriate learning algorithms, you can solve countless problems.

The algorithm "trains" in some way by using known inputs and outputs to respond to specific inputs. It represents a systematic approach to describing the strategic mechanisms for solving problems.

In this article, I want to share with you 8 neural network architectures. I believe that any machine learning researcher should be familiar with this process to promote their work.

Today's demand for data centers is solid and effective, and this should be done first by "reasonable use". While idle resources are a waste of money for an environment. But if you fail to make a reasonable resource allocation to the frequently used data center, it will lead to a dangerous scene. A single hardware failure may cause other physical hosts to fail. The challenge for IT managers is to use and manage computing resources across the entire environment (usually including physical, virtual, and cloud resources). This article will discuss resource planning and problem mitigation as a means to achieve the goal of resource optimization. We will also ...

According to IDC's Digital Universe http://www.aliyun.com/zixun/aggregation/8503.html > Research Report (Digital universe), for the next 8 years, The amount of data we generate will exceed ZB (KB), which is equivalent to 5200GB of data per person on Earth. 40ZB equals 40 trillion GB, estimated to be 57 times times the number of sand grains on all beaches on Earth. In order to reach this number, pre ...

Each company is now a data company that can use machine learning to deploy smart applications in the cloud to a certain extent, thanks to three machine learning trends: data flywheels, algorithmic economy, and smart cloud hosting.

Artificial intelligence has entered everything – from autonomous cars to automatic emails to smart homes. You seem to get any merchandise (such as medical health, flight, travel, etc.) and make it smarter through the special application of artificial intelligence.

The late 360 in the shortest possible time, joined the internet mobile phone "battlefield", and the consistent language of the amazing Tiger 360 Chairman Zhou also became the target of the spotlight again. Dear users, you have spent a lot of time in the smartphone market, defeating a handful of opponents across the country. 　　"If you use the 360-body to design a scenario conversation for a smartphone industry, it might be best to give 360 of them to yourself," he said. Qihoo 360, chairman of the Zhou is now on the smartphone over the past year, the internet giants coincide with the "Crash machine" is ...