Method and system for sharing computing power resources and storage medium

Abstract

The invention provides a method and system for sharing computing power resources and a storage medium. The method comprises the following steps: sending a task request to a server node; obtaining taskblocks which are executed in parallel; executing a calculation task according to a task block to generate a calculation result; verifying the calculation result, and returning a verified result to the server node; The task request is actively put forward according to computing nodes, a large number of task blocks generated after task processing and splitting are reasonably distributed to all available computing nodes in a network, optimal distribution is guaranteed, powerful decentralized computing resources are provided for high-strength computing type tasks by utilizing the idle states of the computing nodes, and the data processing efficiency is higher; and through an active request and distribution matching mechanism, the distribution of the computing tasks is more reasonable, and thenon-difference computing node autonomy is further realized, so that the method can be widely applied to the technical field of distributed computing networks.

Description

technical field [0001] The invention relates to the technical field of distributed computing networks, in particular to a method, system and storage medium for sharing computing power resources. Background technique [0002] Distributed computing is a computing method, which is relative to centralized computing. With the development of computing technology, some applications require huge computing power to complete. If centralized computing is used, it will take a long time to complete. Distributed computing breaks down the application into many small parts, which are distributed to multiple computers for processing. This can save the overall calculation time and greatly improve the calculation efficiency. [0003] In the current production and life, when faced with high-intensity computing tasks, a centralized computing method is usually adopted, and the central computer needs to perform all calculations. Therefore, when there are many terminals, the response speed will s...

AI Technical Summary

Problems solved by technology

[0003] In the current production and life, when faced with high-intensity computing tasks, a centralized computing method is usually adopted, and the central computer needs to perform all calculations. Therefore, when there are many terminals, the response speed will slow down; if the terminal user If there are different needs, it is necessary to configure each user's program and resources separately, which is not only difficult but also inefficient on a centralized system

In addition, in some distributed computing networks in the prior art, simply adopting the balanced distribution of computing tasks will also bring huge pressure to a single computing node in the network without considering the performance status of the computing nodes.

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