Self mining efficiency
Publish: 2021-05-25 08:03:09
1. Use a good pick, preferably a diamond pick. Then enchant efficiency 5, if there is a command box can also do efficiency 100.
2.
You can't dig in a day. It takes 2000 years
the global unified computing difficulty of bitcoin is 2621404453 (expected to change in two days). It takes more than 2000 years for a 2.5GHz CPU to work out a bitcoin
in order to make the graphics card fully loaded for a long time, the power consumption will be quite high, and the electricity bill will be higher and higher. Many professional mines at home and abroad are operated in areas with extremely low electricity charges, such as hydropower stations, while more users can only mine at home or in ordinary mines, so the electricity charges are not cheap. Even in a certain residential area in Yunnan, there was a case of crazy mining, which led to a large area trip of the residential area, and the transformer was burned
extended data:
bitcoin network generates new bitcoin through "mining". In essence, the so-called "mining" is to use computers to solve a complex mathematical problem to ensure the consistency of bitcoin network distributed accounting system
bitcoin network will automatically adjust the difficulty of mathematical problems, so that the whole network can get a qualified answer about every 10 minutes. Then bitcoin network will generate a certain amount of bitcoin as block reward to reward the person who gets the answer
when bitcoin was born in 2009, block rewards were 50 bitcoins. Ten minutes after its birth, the first 50 bitcoins were generated, and the total amount of money at this time is 50. Then bitcoin grew at a rate of about 50 every 10 minutes. When the total amount reaches 10.5 million (50% of 21 million), the block reward will be halved to 25
when the total amount reaches 15.75 million (5.25 million new output, i.e. 50% of 1050), the block reward will be further halved to 12.5. The monetary system used to have no more than 10.5 million in four years, after which the total number will be permanently limited to about 21 million
3. It's really difficult to mine now. First of all, determine whether your positioning is correct. As mentioned above, you may not be able to play one in eight years in ten years. Of course, you are lucky to dig out a few in one year, but this is gambling. The probability is very small, ha ha
however, you really regard mining as fun and entertainment. If you don't care much about whether you can dig, you can also let your own machine dig all the time. However, the machine configuration above you should not be low, but it is not suitable for mining, just as the swimming champion is not necessarily good at mountain climbing
generally speaking, mining machines mainly focus on graphics cards, which have little to do with processors, main memory boards and hard disks. Of course, they need to be stable and not crash for a long time. In fact, a card is more suitable for mining. In principle, you can go to the network. It is said that before the emergence of R-Series a card, the card with good mining effect was not hd88708750, But we despise the old graphics card that has been eliminated
however, you really regard mining as fun and entertainment. If you don't care much about whether you can dig, you can also let your own machine dig all the time. However, the machine configuration above you should not be low, but it is not suitable for mining, just as the swimming champion is not necessarily good at mountain climbing
generally speaking, mining machines mainly focus on graphics cards, which have little to do with processors, main memory boards and hard disks. Of course, they need to be stable and not crash for a long time. In fact, a card is more suitable for mining. In principle, you can go to the network. It is said that before the emergence of R-Series a card, the card with good mining effect was not hd88708750, But we despise the old graphics card that has been eliminated
4. Really, I think the efficiency is very high. You can go to the official website to find out
5. High efficiency and stability,
6. Cloud Computing: one of the three carriages enabling the future
cloud computing, big data and artificial intelligence are known as the three carriages driving the future and enabling the real economy! At present, 48 of fortune's top 50 companies have publicly announced their cloud deployment plans, and the IT departments of many of them have widely used cloud services
Adobe's market value has increased by 10 times in the past nine years when it transformed into SaaS service; In the nine years since its listing, the market value of salesforce has increased by 30 times. Microsoft's revenue in the third quarter was US $30.6 billion, and cloud computing became the biggest contributor to the revenue growth of Microsoft's business. The revenue of intelligent cloud services sector reached US $9.7 billion, an increase of 22%<
according to the data report given by canalys, a research institution, the global cloud computing market in 2018 exceeded US $80 billion, reaching US $80.4 billion, with a year-on-year growth of 46.5%. In 2018, AWS had a revenue of US $25.4 billion, accounting for 31.7% of the market share, while Microsoft azure ranked second in the market, with an annual revenue of US $13.5 billion and a market share of 16.8%. In addition, according to the latest report released by Bain company, the size of the global cloud computing market is expected to rise to US $390 billion by 2020, with a compound annual growth rate (CAGR) of 17%, Forbes Online reported. The global cloud computing market scale accounts for 0.37% of GDP, while the domestic cloud computing market scale accounts for only 0.13% of GDP in the same period
China has a consumer Internet giant with the same strength as the United States, but it is several times different from the instrial Internet. With the disappearance of Internet demographic dividend, the dividend of domestic 2C consumer Internet users has subsided, and 2b instrial Internet is on its way, the troika of cloud computing, big data and artificial intelligence, It will witness the development of instrial Internet and usher in its own golden development. Instrial Internet acceleration, technology empowerment, China's 100 billion cloud computing market is waiting for its cultivators<
Cloud Computing: Top 10 development trends
here is a list of top 10 forecasts of the development trend of cloud computing instry in 2019 made by practitioners, analysts and enterprise decision-makers in the cloud computing instry for your reference<
participating in IDC circle: Top Ten Trends of cloud computing in 2019: cloud has become the main way to obtain artificial intelligence
1. Extensive use of intelligent decision-making has become an advanced symbol of enterprises
artificial intelligence has stepped out of the "entertainment world" and started to widely assist human decision-making in enterprise operation
in the future, whether an enterprise is advanced or not, one of the main measurement indicators is the proportion of intelligent assistance employees (not only serving executives) to make decisions. Cloud is no longer an issue discussed by technology circle, but more concerned by enterprise decision-makers
it is more urgent for enterprises to use artificial intelligence and other technologies for business innovation than ever before. At the same time, cloud based intelligent business will also trigger organizational change
2. Enterprises will graally give up the self built it infrastructure and move to the public cloud, resulting in "cloud based native enterprises"
the infrastructure of Netflix, an American video website, has been relocated to Amazon AWS. A small number of Chinese enterprises have realized such overall cloud relocation in 2018, and it is expected that a large number of cases of such overall cloud relocation will emerge in 2019
the cloud of means of proction means the opening of a new era
3. Cloud has become the most important path for enterprises to acquire AI
cloud naturally solves the unification of enterprise data and technology, and constitutes the most important path for enterprises to acquire AI capability< At present, public cloud platform has become the most important channel for customers to obtain AI services at low cost
in the business field, artificial intelligence technology that has been verified by cloud service providers' own business is favored by enterprise decision makers<
4. Hardware cloud service providers graally bid farewell to the public cloud market
in 2018, the traditional hardware start-ups encountered collective acclimatization in the era of public cloud
IBM's share of cloud computing has declined. Before that, HP, Cisco, Fujitsu and other enterprises had setbacks in entering the public cloud market with the help of open source openstack technology. The analysis shows that the hardware manufacturers' failure in the public cloud market lies in their failure to understand the nature of cloud computing
the essence of cloud computing is not a "computer" but a service. In addition, such enterprises are almost perfectly wrong with the Internet era. As a result, the hardware genes of the above-mentioned manufacturers are so powerful and the existing businesses are so successful that they are faced with the "innovator's dilemma"
5. The public cloud market is further concentrated
according to the statistics of authoritative market research institutions Gartner and IDC, four manufacturers, including Amazon AWS, Microsoft azure, Alibaba cloud and Google cloud, have become the leading forces in the global public cloud market, and their revenue growth rates are far faster than the average growth of the instry
Goldman Sachs, a Wall Street investment bank, predicts that Amazon, Microsoft, Alibaba and other giants will occupy about 84% of the core cloud computing market in 2019. These companies are significantly ahead of their competitors in talent, technology, operation, service, capital, ecology and other aspects. It can be predicted that the global cloud computing market concentration will be further improved in 2019, and will be more significant in the next few years
6. Enterprises prefer full stack solutions
in the past year, with the accelerated penetration of intelligent technology in the business field, many enterprises have realized intellectualization in some business links
however, more and more CEOs prefer comprehensive solutions than artificial intelligence technology to enhance a certain business or link. This kind of solution can not only realize the data of the company's business, but also provide a set of verified intelligent tools to help enterprises realize intelligent decision-making
in 2019, more comprehensive intelligent solutions will continue to appear and be welcomed by the market
7. Enterprises embrace cloud computing for security
in the past, security has become an obstacle
when many enterprises choose whether to go to the cloud, the most important concern is security, not only for their own information security, but also for the stability of business systems. However, with the digital transformation of the whole society, all kinds of business operations of enterprises will inevitably touch the Internet. In order to seek business security, they begin to become the driving factors for enterprises to actively go to the cloud
cloud computing manufacturers have a strong security team to serve too many types of customers, which can enable enterprises to obtain a strong security protection capability at low cost, which has changed the investment habits of enterprises in security in the past< After more than 10 years of development, cloud computing technology has graally matured, and the enterprise's acceptance of cloud computing is also further improved
as cloud computing can bring obvious utility to enterprise IT operation and business innovation, cloud computing has become the norm of enterprises
in 2019, the whole society will put more and more budget into the field of cloud computing, which will further enhance the proportion of cloud computing in the overall it expenditure. Goldman Sachs, a Wall Street investment bank, predicts that the market penetration rate of cloud computing will exceed 10% for the first time in 2019, and it will jump to 15% by 2021. This means that cloud computing will further erode enterprise IT spending and enhance its influence in the IT market< M & A activities in cloud computing instry will be more frequent
in 2018, there are many large-scale M & A transactions in the field of cloud computing, which are divided into different fields such as chip, security, artificial intelligence, developer community, cloud solutions, etc
in order to maintain the rapid growth, the mainstream cloud computing manufacturers need to launch more high value-added procts or services, and constantly expand the scale of paying customer groups. Mergers and acquisitions have become a means to achieve rapid results.
cloud computing, big data and artificial intelligence are known as the three carriages driving the future and enabling the real economy! At present, 48 of fortune's top 50 companies have publicly announced their cloud deployment plans, and the IT departments of many of them have widely used cloud services
Adobe's market value has increased by 10 times in the past nine years when it transformed into SaaS service; In the nine years since its listing, the market value of salesforce has increased by 30 times. Microsoft's revenue in the third quarter was US $30.6 billion, and cloud computing became the biggest contributor to the revenue growth of Microsoft's business. The revenue of intelligent cloud services sector reached US $9.7 billion, an increase of 22%<
according to the data report given by canalys, a research institution, the global cloud computing market in 2018 exceeded US $80 billion, reaching US $80.4 billion, with a year-on-year growth of 46.5%. In 2018, AWS had a revenue of US $25.4 billion, accounting for 31.7% of the market share, while Microsoft azure ranked second in the market, with an annual revenue of US $13.5 billion and a market share of 16.8%. In addition, according to the latest report released by Bain company, the size of the global cloud computing market is expected to rise to US $390 billion by 2020, with a compound annual growth rate (CAGR) of 17%, Forbes Online reported. The global cloud computing market scale accounts for 0.37% of GDP, while the domestic cloud computing market scale accounts for only 0.13% of GDP in the same period
China has a consumer Internet giant with the same strength as the United States, but it is several times different from the instrial Internet. With the disappearance of Internet demographic dividend, the dividend of domestic 2C consumer Internet users has subsided, and 2b instrial Internet is on its way, the troika of cloud computing, big data and artificial intelligence, It will witness the development of instrial Internet and usher in its own golden development. Instrial Internet acceleration, technology empowerment, China's 100 billion cloud computing market is waiting for its cultivators<
Cloud Computing: Top 10 development trends
here is a list of top 10 forecasts of the development trend of cloud computing instry in 2019 made by practitioners, analysts and enterprise decision-makers in the cloud computing instry for your reference<
participating in IDC circle: Top Ten Trends of cloud computing in 2019: cloud has become the main way to obtain artificial intelligence
1. Extensive use of intelligent decision-making has become an advanced symbol of enterprises
artificial intelligence has stepped out of the "entertainment world" and started to widely assist human decision-making in enterprise operation
in the future, whether an enterprise is advanced or not, one of the main measurement indicators is the proportion of intelligent assistance employees (not only serving executives) to make decisions. Cloud is no longer an issue discussed by technology circle, but more concerned by enterprise decision-makers
it is more urgent for enterprises to use artificial intelligence and other technologies for business innovation than ever before. At the same time, cloud based intelligent business will also trigger organizational change
2. Enterprises will graally give up the self built it infrastructure and move to the public cloud, resulting in "cloud based native enterprises"
the infrastructure of Netflix, an American video website, has been relocated to Amazon AWS. A small number of Chinese enterprises have realized such overall cloud relocation in 2018, and it is expected that a large number of cases of such overall cloud relocation will emerge in 2019
the cloud of means of proction means the opening of a new era
3. Cloud has become the most important path for enterprises to acquire AI
cloud naturally solves the unification of enterprise data and technology, and constitutes the most important path for enterprises to acquire AI capability< At present, public cloud platform has become the most important channel for customers to obtain AI services at low cost
in the business field, artificial intelligence technology that has been verified by cloud service providers' own business is favored by enterprise decision makers<
4. Hardware cloud service providers graally bid farewell to the public cloud market
in 2018, the traditional hardware start-ups encountered collective acclimatization in the era of public cloud
IBM's share of cloud computing has declined. Before that, HP, Cisco, Fujitsu and other enterprises had setbacks in entering the public cloud market with the help of open source openstack technology. The analysis shows that the hardware manufacturers' failure in the public cloud market lies in their failure to understand the nature of cloud computing
the essence of cloud computing is not a "computer" but a service. In addition, such enterprises are almost perfectly wrong with the Internet era. As a result, the hardware genes of the above-mentioned manufacturers are so powerful and the existing businesses are so successful that they are faced with the "innovator's dilemma"
5. The public cloud market is further concentrated
according to the statistics of authoritative market research institutions Gartner and IDC, four manufacturers, including Amazon AWS, Microsoft azure, Alibaba cloud and Google cloud, have become the leading forces in the global public cloud market, and their revenue growth rates are far faster than the average growth of the instry
Goldman Sachs, a Wall Street investment bank, predicts that Amazon, Microsoft, Alibaba and other giants will occupy about 84% of the core cloud computing market in 2019. These companies are significantly ahead of their competitors in talent, technology, operation, service, capital, ecology and other aspects. It can be predicted that the global cloud computing market concentration will be further improved in 2019, and will be more significant in the next few years
6. Enterprises prefer full stack solutions
in the past year, with the accelerated penetration of intelligent technology in the business field, many enterprises have realized intellectualization in some business links
however, more and more CEOs prefer comprehensive solutions than artificial intelligence technology to enhance a certain business or link. This kind of solution can not only realize the data of the company's business, but also provide a set of verified intelligent tools to help enterprises realize intelligent decision-making
in 2019, more comprehensive intelligent solutions will continue to appear and be welcomed by the market
7. Enterprises embrace cloud computing for security
in the past, security has become an obstacle
when many enterprises choose whether to go to the cloud, the most important concern is security, not only for their own information security, but also for the stability of business systems. However, with the digital transformation of the whole society, all kinds of business operations of enterprises will inevitably touch the Internet. In order to seek business security, they begin to become the driving factors for enterprises to actively go to the cloud
cloud computing manufacturers have a strong security team to serve too many types of customers, which can enable enterprises to obtain a strong security protection capability at low cost, which has changed the investment habits of enterprises in security in the past< After more than 10 years of development, cloud computing technology has graally matured, and the enterprise's acceptance of cloud computing is also further improved
as cloud computing can bring obvious utility to enterprise IT operation and business innovation, cloud computing has become the norm of enterprises
in 2019, the whole society will put more and more budget into the field of cloud computing, which will further enhance the proportion of cloud computing in the overall it expenditure. Goldman Sachs, a Wall Street investment bank, predicts that the market penetration rate of cloud computing will exceed 10% for the first time in 2019, and it will jump to 15% by 2021. This means that cloud computing will further erode enterprise IT spending and enhance its influence in the IT market< M & A activities in cloud computing instry will be more frequent
in 2018, there are many large-scale M & A transactions in the field of cloud computing, which are divided into different fields such as chip, security, artificial intelligence, developer community, cloud solutions, etc
in order to maintain the rapid growth, the mainstream cloud computing manufacturers need to launch more high value-added procts or services, and constantly expand the scale of paying customer groups. Mergers and acquisitions have become a means to achieve rapid results.
7. Of course it's true. Why not?
8. At present, the computing power of P2P pool nodes in the whole network is about 20t, but the actual utilization rate is only 10-15t, which wastes a lot of computing power
the computing power and block output of the whole network can be seen here http://www.taobtc.net/
a lot of computing power is wasted. The reason for this is also from the structure of the P2P pool. The P2P pool node will automatically adjust the difficulty of the pool according to the computing power of the workers' mining equipment. This process is quite fast, and the difficulty will be adjusted every few minutes, As a result, the mining equipment is easy to report errors, that is, it generates a lot of R, which reces the efficiency. The P2P pool is a PPLNs mode. You need to submit an effective share to get profit. After submitting an effective share, you can get all the blocks generated within 24 hours. The difficulty of effective share is relatively large. What I reflected in my pool is that 1g of computing power can't dig effective share at all
how to improve the efficiency of P2P pool
1. First of all, as a node mine pool, the mine pool construction itself needs to add node files, showing the number of connections under the bitcoin wallet. After adding nodes, the number of connections can reach dozens or even more, depending on how many nodes you add, effectively recing invalid share
2. How to fix the calculation difficulty of mining equipment for miners? Set it in your mining equipment startup bat
for example, if your single mining equipment is 10g, you can add
/ 1000 + 10 after the user name (wallet address) in the bat file. For example,
- U
/ 1000 + 10
- P
1 in my bat, what does that mean? That is to say, your device is 10g computing power, and you use a fixed difficulty of 10G for mining in P2P pool. If you are a 1g device, write / 1000 + 1 at the back, so the difficulty is fixed and the efficiency of the device is effectively improved.
the computing power and block output of the whole network can be seen here http://www.taobtc.net/
a lot of computing power is wasted. The reason for this is also from the structure of the P2P pool. The P2P pool node will automatically adjust the difficulty of the pool according to the computing power of the workers' mining equipment. This process is quite fast, and the difficulty will be adjusted every few minutes, As a result, the mining equipment is easy to report errors, that is, it generates a lot of R, which reces the efficiency. The P2P pool is a PPLNs mode. You need to submit an effective share to get profit. After submitting an effective share, you can get all the blocks generated within 24 hours. The difficulty of effective share is relatively large. What I reflected in my pool is that 1g of computing power can't dig effective share at all
how to improve the efficiency of P2P pool
1. First of all, as a node mine pool, the mine pool construction itself needs to add node files, showing the number of connections under the bitcoin wallet. After adding nodes, the number of connections can reach dozens or even more, depending on how many nodes you add, effectively recing invalid share
2. How to fix the calculation difficulty of mining equipment for miners? Set it in your mining equipment startup bat
for example, if your single mining equipment is 10g, you can add
/ 1000 + 10 after the user name (wallet address) in the bat file. For example,
- U
/ 1000 + 10
- P
1 in my bat, what does that mean? That is to say, your device is 10g computing power, and you use a fixed difficulty of 10G for mining in P2P pool. If you are a 1g device, write / 1000 + 1 at the back, so the difficulty is fixed and the efficiency of the device is effectively improved.
9. That's the gold draft, though it has a low rability
if it's helpful for you, it's to extend a branch road every two squares on a main line (height is self-determined), so that you can search all the minerals in an area without dead angle, but you have a little cold knowledge. If you only emphasize speed, it's more fishbone mining
if you want the overall mining effect, it is a little faster than the diamond pick when digging many squares. Of course, the better the manuscript, the faster the digging speed.
there is ambiguity in the question
if it's helpful for you, it's to extend a branch road every two squares on a main line (height is self-determined), so that you can search all the minerals in an area without dead angle, but you have a little cold knowledge. If you only emphasize speed, it's more fishbone mining
if you want the overall mining effect, it is a little faster than the diamond pick when digging many squares. Of course, the better the manuscript, the faster the digging speed.
there is ambiguity in the question
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