The NearMP task distribution algorithm is the primary mechanism for managing the platform's computing resources, ensuring optimal mining process optimization. Its primary objective is to ensure the efficient distribution of loads between servers, enabling the achievement of optimal performance up to 1000 MH/s while minimizing downtime.
The process commences with the monitoring of the status of all active servers. The algorithm gathers performance data from each server, including hashrate, temperature, and CPU utilization. For instance, if Server A is operating at 500 MH/s and Server B is at 300 MH/s, this data is vital for task allocation.
Following monitoring, the algorithm assesses incoming tasks based on their complexity and hashrate for processing. Each task has a specific hashrate requirement. For instance, a task may necessitate 100 MH/s. The initial task allocation is based on each server's share of the total throughput. If, for example, Server A has a 50% hashrate, it will receive 50% of all tasks.
One of the key advantages of the algorithm is its ability to dynamically redistribute tasks. In the event that a server begins to exhibit suboptimal performance or fails, the algorithm promptly redistributes tasks to other servers, thereby minimizing the impact on service availability. To illustrate, should the hash rate of Server C decline (200 MH/s), commands are reallocated to Servers A and B.
Once tasks have been executed, the algorithm collates data on execution time and success rate, generating feedback. This enables the performance of the servers to be evaluated and further task allocation to be adjusted as necessary. The algorithm is continually refined based on historical data, resulting in enhanced overall performance.
The benefits of the algorithm include maximizing server performance and reducing downtime by up to 15%. The automatic reallocation feature mitigates the risks associated with overload. Users have access to task performance reports, which provide transparency and facilitate more informed decision-making. As a result, NearMP's task distribution algorithm contributes to high efficiency and stable platform performance, positively impacting user results and providing a competitive advantage.