Node resource management method and device

Abstract

The embodiment of the invention provides a node resource management method and device. The method comprises the following steps of acquiring a first service feature of a to-be-processed service, determining a first node feature mapped by the first service feature according to a first mapping relationship between the N service features and the M node features, wherein both N and M are positive integers, and each service feature in the N service features corresponds to at least one node feature in M node features, the first service feature comprises at least one service feature in the N service features, and the first node feature comprises features required by a node for processing the to-be-processed service, selecting at least one node with a first node feature from the plurality of nodes, and determining a target node from the at least one node, and issuing the to-be-processed service to the target node for processing. Through the mode, the proper node can be matched according to the service characteristics of the to-be-processed service to process the to-be-processed service, so that the reasonable management of the node is realized.

Description

technical field [0001] The invention relates to the technical field of distributed nodes, in particular to a node resource management method and device. Background technique [0002] At present, with the continuous development of big data technology, the computing resources that need to be invested are also increasing. Moreover, in the field of big data technology, the amount of access data does not increase steadily, but peaks and valleys are affected by various factors (such as the impact of morning and evening peak hours on traffic flow, the impact of Double 11 activities on sales, etc.). Distributed node technology can cope with a huge amount of data access to a certain extent, so that the data processing pressure is shared on each node. However, it is difficult to achieve balanced management of many nodes in distributed nodes. For example, some nodes share excessive data processing pressure, such as an instantaneous increase in load, which causes excessive pressure on ...

AI Technical Summary

Problems solved by technology

However, many nodes in distributed nodes are difficult to achieve balanced management. For example, some nodes share excessive data processing pressure. For example, an instantaneous increase in load causes excessive pressure on these nodes. For example, some nodes have a small load, resulting in waste of resources.

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