AI, Big Data, Cloud Computing Combat COVID-19 Pandemic

COVID-19 pandemic atracted everyone's attention. The real-time update of the 2019 ncov epidemic that we see in the daily news in the data platform are the combination of big data, cloud computing and AI.

The number of confirmed cases of novel coronavirus pneumonia, which has continued to increase from the first few cases to the present, has expanded from Wuhan to Hubei to the world.

COVID-19 Pneumonia pandemic affects everyone ’s heart. All parties in the enterprise reach out and donate medical supplies (such as masks, protective clothing, goggles, etc.), fresh ingredients (vegetables, fruits, rice, oil, rice, etc.), human Material resources and other people around the world are also watching the changes in the 2019 ncov epidemic, including the development of covid-19 pandemic every day, the donation of materials, the arrival of materials, and so on. The combination of big data, cloud computing, and artificial intelligence is behind the real-time 2019 ncov epidemic update and data platform Kanban we see on WeChat groups, headlines, Weibo, and news.

artificial intelligence

Artificial intelligence is AI. With the introduction of the concept and the introduction of some weak artificial intelligence products, everyone has personally felt what artificial intelligence is, and I will not say much.

In this covid-19 pandemic, we generated and collected a very large amount of data, but these scattered data have no value to us and must be processed. Through data collection, cleaning, and processing, and using algorithms such as machine learning and artificial intelligence, it supports the association and retrieval of information, contact tracking, disease prediction, and epidemic spread models.

Big Data

What is big data? Of course, with the advent of the information age and the Internet era, more and more people have begun surfing the Internet, using computers, mobile phones, tablets, smart watches, smart bracelets and other terminals, on the PC side, app side, browsing Viewing videos, browsing information, chatting, etc. on the server generates a lot of data. 1.4 billion people in China and 8 billion people in the world use the network 24 hours, 1440 minutes, 86400 seconds per day, and generate huge amounts of data. This is "big data". The data is full of a lot of valuable information, in order to facilitate the storage and processing of the data.

Big data is divided into three types:

1) Structured data, which has a uniform format and length, and a line of information can represent an entity, which can be stored in a database. For example, in this covid-19 pandemic, the statisticians include the provincial capital (Wuhan City, Hubei Province), ethnic group (Han), name (Zhang San), age (27), and health (health), etc.? This counts the basic information of the entity Zhang San. We can also continue to count the information of Li Si and Wang Wu according to this fixed format and store it in the database.
2) Unstructured data, that is, data that does not have a fixed length and a fixed format and cannot represent an entity, such as the video of the Vulcan Mountain Hospital in the outbreak, the video voice of frontline personnel, etc., sometimes long and sometimes short There is no way to limit the length and format, this is unstructured data. We usually store it on a server by decoding it into a binary format.

3) Semi-structured data, that is, data between structured data and unstructured data. It has no fixed format, but can represent an entity through various attribute combinations. This is most common in Internet development, such as json data and xml data.
In this 2019 ncov pneumonia, a huge amount of big data was generated. There were structured data on the population of volunteers & staff of provincial and municipal governments, as well as unstructured and semi-structured data obtained by engineers through crawlers.

cloud computing

What is cloud computing? Cloud computing is the management and comprehensive flexibility of resources. In the computer world, it is computing resources, network resources, storage resources, and application resources, which are generally divided into iaas, paas, and saas.

iass is the management of computing network storage resources, pass is the management of operating system database middleware resources, and saas is the management of application resources.

To use a service, you need applications, program code, databases, middleware, operating systems, networks, storage devices (such as memory, disks), and computing devices (that is, CPUs, cloud hosts). I will give you a case of food. Let ’s talk about it in general. To eat, you need meals, tables, ingredients, seasonings (oil, salt, vinegar), pots, and gas. Local deployment means that everything is prepared by yourself. IAAS are the most basic ability of gas to provide heat. The chef uses the pot to cook food on the gas, prepares the fresh ingredients and puts them in the pot to cook, uses the seasoning to blend, and finally the food is made; saas is to enjoy the meals directly on the table.
Recently, COVID-19 pneumonia pandemic is particularly serious. The company also allows employees to work from home. Teacher Ke can no longer return to the company. Teacher Ke decides to cook food after working remotely. At this time, there are three plans: 1. Buy gas, pots, seasonings, ingredients, tables, and cook at home. This is privatization, that is, you have all the ability to develop and provide services yourself. 2. Do it at home. People cook, but the basic kitchen utensils have gas, water and electricity. You only need to prepare seasonings, ingredients, and clean up the table. This is the pass, which provides more ability for cooking, and is responsible for cooking. 3. Go to the restaurant. Eat, you only need to pay to enjoy the service of eating, this is saas.

Cloud computing is the management of all resources. It is completely flexible, that is, when resources are needed, they can be used as much as you want. In this epidemic situation, we are concerned about the real-time progress of the epidemic situation, the distribution of the epidemic situation in various regions, the epidemic trend map, remote office and so on. We grab huge amounts of data every day for analysis and calculation, and carry billions of people's attention to search This all requires the computing power of the server to support it. I am afraid that the number of servers on Double Eleven is unmatched, but why can we still use the service, browse, follow, and forward normally, and we have hardly waited for a long time and did not encounter it? What about 404? This is the strong elastic scalability of cloud computing, which increases or decreases the allocation of resources according to the amount of service requests, and pays on demand to ensure the use experience of people across the country.