Accurate cluster speed limiting method and device

Abstract

The embodiment of the application provides an accurate cluster speed limiting method and device, and relates to the technical field of computers. The method in the application comprises the following steps: receiving a data packet; judging whether the data packet is a data packet of a client to be processed by the client or not; if the data packet is not the data packet of the client to be processed by the client, forwarding the data packet to a service entity of the client for processing the data packet; and if the data packet is the data packet of the client to be processed by the client, performing speed-limiting processing on the data packet based on identity information of the data packet. Through adoption of the accurate cluster speed limiting method and device, service entities in the whole cluster can be subjected to speed limiting without separate arrangement of a flow control entity in the cluster; normal work of the whole cluster is not influenced due to failures of the flow control entity; and high adaptability is achieved. Moreover, only simple forwarding of data packets is performed among the service entities, so that the complexity is low.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a cluster precise speed limiting method and a cluster precise speed limiting device. Background technique [0002] With the popularization of the network, the application environment of the network becomes more and more diversified, for example, a cluster composed of a group of service entities working together is used to provide services to multiple clients or multiple users. In such an application environment, in order to prevent the excessive traffic of a certain client from affecting other clients or based on the demand for broadband traffic purchased by a certain client, it is necessary to limit the traffic rate of each client or user. Since the cluster contains multiple service entities, such as servers, etc. Each service entity provides services at the same time, which will cause the traffic of the same client to fall on multiple service entities in the cluste...

AI Technical Summary

Problems solved by technology

[0008] For the first type of solution, it is first necessary to provide a flow control entity in the cluster to control the rate limit. If the flow control entity fails, it will affect the normal operation of the cluster, and the applicability is not strong

Secondly, because the flow control entity needs to monitor the traffic rate of the service entity, it needs to communicate with the service entity in a large amount to decide the rate limit issued to each service entity, which is complex

[0009] For the second type of solution, it is difficult to ensure that the traffic of each client falls evenly on each service entity, and the operability is low

Secondly, if the traffic of the client is uneven, there will be traffic on some service entities for some clients that is greater than the specific speed limit value, resulting in packet loss, causing the actual bandwidth of the user to be less than the bandwidth purchased by the user, and the accuracy is relatively low. Low

[0010] For the third type of solution, adding a dedicated speed limit node will increase the cost, which is not applicable to small clusters

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