What scenarios can decentralization be applied to
Publish: 2021-04-19 13:18:12
1. Sharing from regional TV network: in a system with many nodes, each node has a high degree of autonomy. Nodes can connect freely to each other to form a new connection unit. Any node may become the stage center, but it does not have the mandatory central control function. The influence between nodes will form nonlinear causality through the network. This open, flat and equal system phenomenon or structure is called & quot; Decentralization & quot;.
2.
In a system with many nodes, each node has a high degree of autonomy. Nodes can connect freely to each other to form a new connection unit. Any node may become the stage center, but it does not have the mandatory central control function. The influence between nodes will form nonlinear causality through the network. This open, flat and equal system phenomenon or structure is called decentralization
with the deepening of the interaction between subject and object, the continuous balance of cognitive function and the continuous improvement of cognitive structure, indivials can be released from the egocentric state, which is called decentralization
3. Decentralization is a phenomenon or structure, which can only appear in a system with many users or nodes, and each user can connect and influence other nodes. Generally speaking, everyone is the center, and everyone can connect and influence other nodes. This flat, open-source and equal phenomenon or structure is called "decentralization"< Br > at the same time, "decentralization" is one of the typical features of blockchain, which uses distributed storage and computing power. The rights and obligations of the whole network nodes are the same, and the data in the system is jointly maintained by the whole network nodes, so that the blockchain no longer relies on the central processing node to realize the distributed storage, recording and updating of data. Each blockchain follows a unified rule, which is based on a cryptographic algorithm rather than a credit certificate, and the data update process needs to be approved by the user, so that the blockchain does not need the endorsement of intermediaries and trust institutions< The characteristics of br> de centralization:
centralization is first reflected in diversification. In the Internet world, there are no more than several portals has the final say. Various websites have begun to voice their own voice, express different choices and different hobbies, and these websites are distributed in every corner of the Internet world. Br > decentralisation is followed by the centralization of people, and decentralisation of content has become a trend, and people have become the key force to determine the survival of websites. It's a great change to build a website with indivials who lack interaction to gather talents and contribute their wisdom in the form of a circle. That is user-oriented, humanized< < br > decentralized content: < br > decentralization is the form of social relationship and content generation formed in the development of the Internet, which is a new network content proction process relative to "centralization"< Br > compared with the early Internet (Web1.0) era, today's Web (Web2.0) content is no longer proced by professional websites or specific groups of people, but is created by all Internet users with equal rights. Anyone can express their views or create original content on the Internet to proce information together< Br > with the diversification of network service forms, the decentralized network model is becoming clearer and more possible. After the rise of Web2.0, the services provided by Wikipedia, Flickr, blogger and other network service providers are decentralized. Any participant can submit content, and Internet users can create or contribute content together< After that, with the emergence of more simple and easy-to-use decentralized network services, the characteristics of Web2.0 became more and more obvious. For example, the birth of services more suitable for ordinary Internet users, such as twitter and Facebook, made it easier and more diversified to proce or contribute content to the Internet, thus enhancing the enthusiasm of Internet users to participate in the contribution and recing the threshold of procing content. Eventually, every netizen becomes a tiny and independent information provider, making the Internet more flat and content proction more diversified.
centralization is first reflected in diversification. In the Internet world, there are no more than several portals has the final say. Various websites have begun to voice their own voice, express different choices and different hobbies, and these websites are distributed in every corner of the Internet world. Br > decentralisation is followed by the centralization of people, and decentralisation of content has become a trend, and people have become the key force to determine the survival of websites. It's a great change to build a website with indivials who lack interaction to gather talents and contribute their wisdom in the form of a circle. That is user-oriented, humanized< < br > decentralized content: < br > decentralization is the form of social relationship and content generation formed in the development of the Internet, which is a new network content proction process relative to "centralization"< Br > compared with the early Internet (Web1.0) era, today's Web (Web2.0) content is no longer proced by professional websites or specific groups of people, but is created by all Internet users with equal rights. Anyone can express their views or create original content on the Internet to proce information together< Br > with the diversification of network service forms, the decentralized network model is becoming clearer and more possible. After the rise of Web2.0, the services provided by Wikipedia, Flickr, blogger and other network service providers are decentralized. Any participant can submit content, and Internet users can create or contribute content together< After that, with the emergence of more simple and easy-to-use decentralized network services, the characteristics of Web2.0 became more and more obvious. For example, the birth of services more suitable for ordinary Internet users, such as twitter and Facebook, made it easier and more diversified to proce or contribute content to the Internet, thus enhancing the enthusiasm of Internet users to participate in the contribution and recing the threshold of procing content. Eventually, every netizen becomes a tiny and independent information provider, making the Internet more flat and content proction more diversified.
4. Based on the first large-scale commercial application developed by gxchain, gongxinbao's decentralized data exchange provides enterprises with a completely different solution from the previous centralized data transaction (such as data middleman and data black market). The typical customers are network loans, automobile finance, consumer finance, Internet banking, Internet banking, Internet banking, Internet Banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking, Internet banking Banks and other enterprises, as well as government departments, insurance, medical, logistics and other government and enterprise departments with data exchange needs, have solved many core problems that have not been solved in the data security exchange and circulation of various instries with decentralized thinking. And can be used by the whole society, widely used in citizens' learning, work, life and other application scenarios, let the data release its e value, improve the efficiency of social cooperation.
5. There are two key characteristics in blockchain Technology: decentralization and tamper proof. This avoids the possibility of counterfeiting technically
for example, the vonetracer traceability system of wangchain technology will upload all links of a commodity to the blockchain, and users can scan the QR code to know all the information of the commodity. Agricultural procts enterprises can avoid the possibility of counterfeiting by using this technology.
for example, the vonetracer traceability system of wangchain technology will upload all links of a commodity to the blockchain, and users can scan the QR code to know all the information of the commodity. Agricultural procts enterprises can avoid the possibility of counterfeiting by using this technology.
6. Hello, it's a great honor to be here to answer your question. The following are some of my views on this issue. If there are any mistakes, please point them out. Take the blockchain network mutual aid platform for example. The performance of decentralization in this platform is as follows:
open and transparent
open and transparent. Once all the information recorded on the blockchain is difficult to tamper with and cannot be hidden, users can check it at any time. Generally speaking, as long as the real name authentication is added to the plan, the blockchain will generate nodes, No one can modify (including the platform)
never downtime
the blockchain based on the public chain is not affected by any institution or indivial. As long as the incentive mechanism is effective and the Internet exists, the blockchain will exist. Generally speaking, since the platform service personnel are not available, the platform machine has been working
democratic decision-making
bottom up decision-making, blockchain proposes a variety of different consensus mechanisms to help users effectively form bottom-up decision-making and jointly participate in major decisions. Generally speaking, if the platform wants to modify a thing, for example, the content of the plan can only be carried out after more than half of the people participate in the voting, or the application for mutual aid needs mutual aid fund. When more than half of the people do not agree with the publicity, the platform will not pass. Thank you very much for your patience. If you have any help, please accept it. I wish you a happy life! thank you!
open and transparent
open and transparent. Once all the information recorded on the blockchain is difficult to tamper with and cannot be hidden, users can check it at any time. Generally speaking, as long as the real name authentication is added to the plan, the blockchain will generate nodes, No one can modify (including the platform)
never downtime
the blockchain based on the public chain is not affected by any institution or indivial. As long as the incentive mechanism is effective and the Internet exists, the blockchain will exist. Generally speaking, since the platform service personnel are not available, the platform machine has been working
democratic decision-making
bottom up decision-making, blockchain proposes a variety of different consensus mechanisms to help users effectively form bottom-up decision-making and jointly participate in major decisions. Generally speaking, if the platform wants to modify a thing, for example, the content of the plan can only be carried out after more than half of the people participate in the voting, or the application for mutual aid needs mutual aid fund. When more than half of the people do not agree with the publicity, the platform will not pass. Thank you very much for your patience. If you have any help, please accept it. I wish you a happy life! thank you!
7. As a customized version of verica's Yixin analysis proct, petabase-v provides real-time analysis services for big data. It adopts the shared free massively parallel architecture (MPP), which can linearly expand the computing power and data processing capacity of the cluster. Based on the column database technology, petabase-v has the characteristics of high performance, high scalability, high compression rate and high robustness, It can perfectly solve the performance problems such as slow report calculation and detailed data query
big data platform is mainly used for data collection, data storage, data analysis and data processing of massive and diverse data sources, and to meet the growing scalability requirements. The application scenarios of big data platform can be roughly divided into the following:
scenario 1: public opinion analysis
some customers need to do public opinion analysis and require all data to be stored for several years. The daily data volume of public opinion data may exceed one million, and the annual data volume can reach several billion. What's more, the data crawler crawls over is public opinion. After word segmentation by big data technology, it may get a large number of comments from netizens. Customers often ask to query public opinion, do full-text search, and control the response time in seconds. Crawler crawls data to Kafka of big data platform, does stream processing, de plication, de-noising, does voice analysis, and writes it to elasticsearch. One of the characteristics of big data is multiple data sources. Big data platform can select different data sources according to different scenarios
scenario 2: business intelligence applications
BI procts are mainly used for data analysis of data sets, which are mainly based on aggregation operations, such as combination, average, year-on-year, ring ratio, other square difference or standard deviation. The big data platform can not only meet the horizontal scalability of large amount of data, but also meet the high-performance aggregation operation. At the same time, the platform provides efficient column storage, which can effectively meet the needs of business problem analysis
scenario 3: enterprise level big data platform:
from the perspective of business, it is subdivided into query retrieval, data mining, statistical analysis and depth analysis, in which depth analysis is divided into machine learning and neural network
from the perspective of technology, it can be subdivided into batch, SQL, streaming, machine learning and deep learning
part of the enterprise data comes from its own business data, such as mysql, Oracle, etc., and part of it is a large number of events. Different data sources lead to different processing methods. Traditional technology is difficult to cover all aspects. If the big data real-time analysis platform is adopted, based on the log data source, events are written into Kafka; For traditional RDBMS such as MySQL and Oracle, write them into HDFS with sqoop and build hive cluster. You can also store a piece of data in the cloud. Part of the business is to put the data into HDFS to do a lot of business query and business statistics. At this time, if you want to query in SQL, there will be many options, such as impala of big data platform. There are also some streaming processing or machine learning that can be used in spark of big data platform.
big data platform is mainly used for data collection, data storage, data analysis and data processing of massive and diverse data sources, and to meet the growing scalability requirements. The application scenarios of big data platform can be roughly divided into the following:
scenario 1: public opinion analysis
some customers need to do public opinion analysis and require all data to be stored for several years. The daily data volume of public opinion data may exceed one million, and the annual data volume can reach several billion. What's more, the data crawler crawls over is public opinion. After word segmentation by big data technology, it may get a large number of comments from netizens. Customers often ask to query public opinion, do full-text search, and control the response time in seconds. Crawler crawls data to Kafka of big data platform, does stream processing, de plication, de-noising, does voice analysis, and writes it to elasticsearch. One of the characteristics of big data is multiple data sources. Big data platform can select different data sources according to different scenarios
scenario 2: business intelligence applications
BI procts are mainly used for data analysis of data sets, which are mainly based on aggregation operations, such as combination, average, year-on-year, ring ratio, other square difference or standard deviation. The big data platform can not only meet the horizontal scalability of large amount of data, but also meet the high-performance aggregation operation. At the same time, the platform provides efficient column storage, which can effectively meet the needs of business problem analysis
scenario 3: enterprise level big data platform:
from the perspective of business, it is subdivided into query retrieval, data mining, statistical analysis and depth analysis, in which depth analysis is divided into machine learning and neural network
from the perspective of technology, it can be subdivided into batch, SQL, streaming, machine learning and deep learning
part of the enterprise data comes from its own business data, such as mysql, Oracle, etc., and part of it is a large number of events. Different data sources lead to different processing methods. Traditional technology is difficult to cover all aspects. If the big data real-time analysis platform is adopted, based on the log data source, events are written into Kafka; For traditional RDBMS such as MySQL and Oracle, write them into HDFS with sqoop and build hive cluster. You can also store a piece of data in the cloud. Part of the business is to put the data into HDFS to do a lot of business query and business statistics. At this time, if you want to query in SQL, there will be many options, such as impala of big data platform. There are also some streaming processing or machine learning that can be used in spark of big data platform.
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