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This article was originally written by IPFS Force Zone At 6:00 am on August 25th, Beijing time, the space race was launched as scheduled. Over the past 7 days, the performance of the miners' nodes has reached the eyes and ears of investors through various channels, and I believe everyone has also understood it. Now, when we talk about miner nodes, leaderboards, etc., what exactly do we want to talk about? It is income, and more precisely, the income of [stability]. According to official requirements, miners participating in the space race must respond to storage and retrieval transaction requests from robots, and the node Deal Success Rate must continue to reach 80% or above to be eligible for awards. However, the author found that some of the top nodes in the overall ranking still did not meet the indicators, and there is still a lot of room for improvement in stability dimension data such as computing power, single T income, and luck value (the following is only a stability analysis from the perspective of computing power). At the beginning of August 25, 268 miner nodes came in one day. As of the time of writing, there are 348 active miners in the space race (sent messages within 24 hours), 15 of whom have an effective computing power of 1P, and 12 of them have increased their computing power by 200T in the past 24 hours. During this process, many top-ranked nodes experienced malicious attacks, loss of computing power due to improper operation, and zero revenue. Filecoin browsers also experienced the largest traffic peak since the launch and frequent downtime. Analysis of filscan.io data found that the stability of the nodes was worrying throughout the process, which made it difficult for miners to cope with customer needs. The author selected the top 17 mining nodes in terms of computing power as data sample reference (hereinafter referred to as "total computing power" refers to the total computing power of the 17 nodes). According to filscan.io, the "total computing power" of the Filecoin Space Race network has been growing linearly, and the overall curve is smooth. Figure 1. Trend of total hashrate of large miner samples According to the comprehensive evaluation of regression fitting such as logarithm, power, polynomial, and linear regression, the linear regression has the highest degree of fitting (R²=0.4967) and the deduction formula is y = 5957.3*T-792.93 (where T is the time). Although it is difficult to find the growth law of the computing power of a single node in the entire network, according to this formula, when the network runs normally for 14 days (24:00 next Monday), the total computing power of the head sample miners can reach 81.4687P (82609.27T). The growth trend of a single node in the sample and the average growth trend of the entire sample are as follows (average = total computing power/17): Figure 2: Trend of total computing power of sample nodes We pulled out the average growth curve and found that on August 29, last Saturday, the computing power showed a small decline in growth. Figure 3. Average total computing power trend of large miner samples If we narrow the granularity, we can see that the network experienced fluctuations in the afternoon of the 27th and the early morning of the 29th, with the most obvious fluctuations on the 29th. According to feedback from The Force engineers, the fluctuation was caused by the unstable upgrade of the official Bot, but it had little impact on the miners, and the computing power growth rate returned to normal after a short period of time. Next, from the perspective of a single node, due to the large number of samples, we screen online samples based on the average line. Currently, the only nodes with a growth rate above the top average in the entire network are t02438, t01248, t02614, t01475, t02520, t02770, and t01235. Figure 4: The trend of large miners’ computing power above the average line The following is a fine-grained (hourly) trend chart of the computing power of each Top node. From the chart, we can first intuitively see that the stability of the growth of some computing power is abnormal. Figure 5, t02438 weekly hashrate trendFigure 6, hashrate trend for t01248Figure 7, hashrate trend for the week t02614Figure 8, t01475 weekly hashrate trendFigure 9, hashrate trend for the week t02520Figure 10, t02770 weekly hashrate trendFigure 11, hashrate trend for t01235 By referring to the regression equation curve, the linear regression fitting formula of the computing power growth of t02438 last week was 377.12*T-60.217 (R²=0.9998), and the expected total computing power in 14 days was 5219T. The linear regression fitting formula of t02520 was 399.14*T -87.106 (R²=0.9996), and the expected total computing power in 14 days was 5500T. The stability performance of both parties was outstanding. By comparing with R², t02438 performed the best and was the most stable. R² refers to the goodness of fit, which is the degree of fit of the regression line to the observed values. The statistic that measures the goodness of fit is the coefficient of determination (also known as the coefficient of determination) R². The maximum value of R² is 1. The closer the value of R² is to 1, the better the regression line fits the observed values; conversely, the smaller the value of R², the worse the regression line fits the observed values. R² measures the overall fit of the regression equation and expresses the overall relationship between the dependent variable and all independent variables. R² is equal to the ratio of the regression sum of squares to the total sum of squares, that is, the percentage of the dependent variable variability that the regression equation can explain. As computing power grows, computing power benefits are fed back to block and ticket production. The following is the cumulative data of sample t02438 in the process of continuous block production, stable work in the [P1, P2, C1, C2] links, and continuous block production: Figure 12, green represents the P1 stage, and yellow represents the P2 stage Figure 13, block growth curve Figures 12 and 13 are used as auxiliary reference data and will not be expanded here. Interested students can go to https://filscan.io/#/tipset/address-detail?address=t02438 for research and analysis. Summary: In terms of one week's data, the overall computing power growth of the entire network currently depends on the top several nodes, which is not a positive performance for decentralization and puts too much pressure on the top nodes. The three-week space race schedule is not yet halfway through, and the official has once again optimized the order-issuing robot. In the next two weeks, in addition to stabilizing the computing power growth, the author hopes and must see more large miners perform well in terms of stability dimensions such as growth rate and single T income. Statement: This article is an original article from IPFS Force District. The copyright belongs to IPFS Force District. It may not be reproduced without authorization. Violators will be held accountable according to law.
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