Mining cloud computing
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all public cloud manufacturers explicitly require that they are not allowed to use the cloud server for mining, otherwise they will be banned
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GPU is mainly used in mining. At present, GPU servers provided by public cloud manufacturers are more expensive, which is not cost-effective, so it is better to use special chips
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of course, some hackers intrude into the server through vulnerabilities, implant mining programs and scripts on it, and carry out mining operations, but this is illegal in itself
Suan Li Feng is reliable
bee is a popular cloud computing capability mining platform in recent years. It mainly purchases cloud computing power through the Internet to mine digital currency. For example, bitcoin and eth are the two mainstream currencies with the highest market value. Their market value and future application value are immeasurable
cloud computing capacity mining refers to the process that the mine divides the self purchased ore into smaller computing capacity according to the computing capacity, and allocates different service life. Selling computing power to others to mine digital currency is called computing power contract. Others can purchase computing power contracts to mine, eliminating problems such as mining machine purchase and technical maintenance
extended data:
precautions:
project formal introction: the platform is currently distributed in mines in Sichuan, Mongolia, Yunnan, Guizhou, Xinjiang and other places. There are 9 mines with 300000 sets of mining machinery, which can provide on-site investigation at any time
project official website and official account also have relevant "mine investigation" video, which shows the layout of the project mine. In the cloud computing power circle, the power of electric mining machinery is the foundation, and these two core advantages are possessed by this project. Transcoding is done to prevent placeholder text that is considered empty by the editor when only the video cover is available
project procts are mainly divided into two categories: BTC computing power and eth computing power
the two kinds of calculation power are divided into three years and two years, both of which are optimistic about the mining instry in the long term, because the short-term rise and fall have little impact on the mining instry. The risk of mining is far less than that of blasting money. Mining gets a price lower than the market price from the source, and the cost of blasting money is changing all the time. The loss without blasting money will be magnified infinitely. As long as the cost can be well controlled and the scale formed, the profit will be very considerable
purchase cost and risk
since the introction of bitcoin, the price of the currency has been fluctuating significantly. It is difficult to control the cost of buying money. This is also the biggest risk. For example, when the price of money bottomed out in the early 19th century, it was $3700 (about 26000 yuan), but such a market is hard to find. In the second half of the year, its average price has risen to around us $8000, or RMB 56000 per coin. Moreover, the total amount of bitcoin is limited. In the long run, prices in the secondary market will continue to rise
this is just the cost of capital. If you want to directly profit from the trading spread, you must not only have considerable knowledge of blockchain technology and bitcoin procts, but also track and pay attention to the bitcoin trading market for a long time, and make a keen judgment on it. Price trends. At the same time, it depends on your long-term and short-term operational skills. After all, stepping in the wrong place is like taking the wrong car
purchase your own mining machine for mining
if you mine by yourself, the biggest advantage is the controllable cost. Take the new mining machine antminer S17 released this year as an example. Bitmain's official price is 15500 yuan / unit, hash rate is 53th / s, and power consumption is about 2.4kw/ HX1, continuously mining bitcoin every day, can mine 0.03 bitcoin in a month, and can mine 1 bitcoin in 31.8 months. According to the conventional power consumption of 2.385kw, the miner consumes about 2.385kwh per hour and 57.24kwh per day. At present, the cheapest price announced by various platforms for mining instry is about 40 cents / kWh. The electricity charge of shearer running continuously for one month is 687 yuan. The total electricity charge for mining a bitcoin is about 21842 yuan. The cost of mining a bitcoin with a mining machine is about 37342 yuan + the operation and maintenance cost of some mining machines. In this way, mining is a more cost-effective method than buying coins directly. If you use the price of the mining machine for a longer time, you can get more bitcoin revenue
generally speaking, compared with mining machine, cloud computing function is more suitable for small asset investors and easier to use. It does not involve resources such as mines, electricity, or mines such as mining machines
mining of computing energy storage certificate
now, there is another method of bitcoin mining in the market deposit mining. In short, it is to purchase the computing power margin certificate to obtain the qualification of bitcoin mining. Participation threshold is low. The final certificate of deposit can also be bought and sold, which is equivalent to cloud computing capacity and can recover certain investment costs
then, if the price of bitcoin rises, the price of certificate of deposit may be higher than the initial purchase price. If sold at this time, it is equivalent to no capital investment. Xbit mining system released by buybit platform is an excellent one in deposit mining
no matter which mining method is used to obtain coins, landlords need to do what they can according to their own situation and strength, and choose a method that can recover the investment cost and has relatively low risk. Bitcoin price volatility is inevitable. If you choose bitcoin as an investment asset, you must adjust your investment ideas and invest reasonably, so as not to fail in the end
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 is to submit the local computing tasks to the remote cloud. The specific computing methods used in the cloud can be centralized or distributed
bitcoin is a typical distributed computing network, which uses the idle time of many local machines to exchange digital currency with electricity.
in the very early days, when the computing power of bitcoin was very low, the computer could also carry out a lot of calculations according to the algorithm to "mine" bitcoin
when users "mine" bitcoin, they need to search for 64 bit numbers by computer, and then compete with other gold miners by repeatedly solving puzzles to provide the required numbers for the bitcoin network. If the user's computer successfully creates a group of numbers, they will get the bitcoin awarded by the block. However, e to the rising value of bitcoin, the number of users of bitcoin mining is very large. There are millions of professional mining machines mining at the same time, and the output of bitcoin is very limited every 10 minutes. As a result, tens of millions of people scramble for a block. Therefore, if you use personal computers to mine alone, you may not be able to grab a block in a whole year, People came up with a method of group mining, so the mining pool was born. There are a lot of users who play after mining
I hope you will adopt it.
the essence of blockchain technology is decentralization, while the foundation of cloud computing is virtualization and network
at present, the machines used for "mining" are basically customized physical machines, rather than virtual machines on the cloud (except for some controlled meat machines)
it can be seen that bitcoin is not a typical application of cloud computing technology, let alone the most mature application.