Is Cloud Computing really Cost-Effective?

In the long term, it said it was ineffective (Mets, 2013). Frenkiel's words can only express their own views. According to MemSQL's experience, the cloud does not seem to be suitable for long-term operation. Other factors related to MemSQL itself, such as MemSQL's testing method and analysis method, may lead to Amazon's growth, as well as formal reports and strong statements directly demonstrating the main reasons for increasing cloud fees There is no evidence. There is a shortage of Amazon.

Cloud computing has two basic prerequisites for efficient and cost-effective operation of the AI ​​system - to handle scalable and low cost resources (primarily computing and storage) and large amounts of data Processing power - offered. The first is to provide scalable and low-cost computing, and the second is an excellent way to store and process large amounts of data. Therefore, the integration of cloud and machine learning is useful for these fields. The impact of machine learning on the cloud is the greatest in the following respects.

Cloud computing has many advantages. First, cloud computing reduces computer costs. Since this service is provided via the Internet and there is no need to install software, the desktop PC does not require a strong processing capacity. In addition to hardware requirements, you can reduce software costs. Most cloud computing services are free. For example, Google Docs can be used for free instead of paying for the Microsoft Office suite. This software is also the latest in cloud computing, there is no format compatibility problem. Perhaps the biggest advantage of cloud computing is unlimited storage capacity. Cloud users do not have to worry about backing up data. Even if your computer crashes, you can access that data again from another computer. In addition, cloud computing allows users to access their data from anywhere.

The next calculation wave will be far from cloud computing. Cloud computing has two main problems: (a) the user does not own his own data, and (b) the remote server is a security hole. As you migrate from cloud computing, distributed systems such as Bitcoin can provide end users with clear control over digital assets without relying on third-party servers and infrastructure.