Iceberg Model: Uncovering the Secrets Behind the Stability and High Yield of The Force Mining Pool

This article was originally written by IPFS Force Zone

At 6:00 am Beijing time on August 25, 2020, the space race with more than 4 million FIL rewards officially kicked off. According to the block browser filscan.io, the overall computing power of the entire network has grown rapidly, and has exceeded 20PB as of press time.

Figure 1 Overall space race data

In the past 60 hours, the various data were dazzling. The Force Operation and Maintenance taught everyone how to truly understand the node data through the iceberg model.

Figure 2 Iceberg model

The iceberg model includes data “above the water”, including single T revenue, block efficiency, and total FIL revenue. Users can view these data through the block browser filscan.io.

But these data are presented based on the capabilities of the iceberg model "underwater", including stability, production and safety. These attributes are invisible to users.

“Outsiders watch the excitement, insiders watch the details.” The iceberg model reveals the secrets behind the stability of the Force’s operations and high production, to see through the “tricks” behind the space race.

Door 1: Failure of packaging sectors

Figure 3 Sector packaging of miners in the entire network (partial nodes)

The premise for Filecoin's computing power growth is that miners need to complete the Sector packaging. The instability of Sector packaging also leads to computing power loss.

Figure 3 directly shows the performance of miner nodes in the space race: after running for 2 days, a large number of miners failed to be packaged, with the largest number of miners reaching 8204, equivalent to 256.375TB of computing power, and a daily loss of up to 128 T of computing power.

Tip 2: Encapsulate task scheduling

Figure 4 Node A (green represents P1 stage, yellow represents P2 stage)

Figure 5 Node B (green represents P1 stage, yellow represents P2 stage)

There is no regularity in the task scheduling of nodes A and B. The time span for completing the P1 and P2 phases of node A is very large, and the situation at node B is even more chaotic.

Figure 6 Force Mining Pool node t02438 (green represents P1 stage, yellow represents P2 stage)

Relatively speaking, the data performance of the Force Zone nodes is more stable.

Tip 3: Overall overview of mining pools

Figure 7: Single-node replication proof and space-time proof of The Force Mining Pool

From Figure 7, we can see that the failure rate of the Force Pool miner node replication proof and time-space proof is 0. Is it true that there will be no mistakes? Of course not. It can be seen that the packaging of more than 10,000 sectors still has double-digit failures, and these failed sector tasks will be sent to the Pangu Banner Time Backtracking System for repair, and then it will return to normal again.

The powerful mining pool monitoring system and task scheduling system are refined to every stage of packaging, giving full play to the performance of the equipment and effectively improving the packaging output, thereby achieving the growth of the computing power of the Force Mining Pool nodes and the stability of the block production efficiency.

The above-mentioned aspects reveal the secrets behind the stability of the Force’s operation and maintenance and its high output, in order to provide a model to understand the operation and maintenance capabilities of large miners.

The craftsmanship of Yuanli Operation and Maintenance is reflected in optimizing from the bottom up, always paying attention to the "underwater" part of the iceberg model, and ultimately achieving the "above-water" profit indicators.

／End.

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.

Tip: Investment is risky, so be cautious when entering the market. This article is not intended as investment and financial advice.

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