An edge collaborative caching method for load balancing of differentiated services in Internet scenarios

Abstract

The invention discloses an edge collaborative caching method for load balancing of differentiated services in Internet scenarios, comprising the following steps: S1: defining response actions and caching parameters made by edge nodes in the edge collaborative caching system after a user sends an application service request ; S2: Parameter initialization, execute the edge collaborative caching process, and invoke the load balancing strategy and differentiated service strategy. The present invention satisfies the requirements of different service levels of different users in the Internet scene by adopting differentiated service strategies in the edge cooperative cache system, reduces the queuing delay of user requests through the load balancing strategy, and improves the stability of node response request delays , which improves the user experience.

Description

technical field [0001] The present invention relates to the technical field of edge collaborative caching, and more specifically, to an edge collaborative caching method for load balancing of differentiated services in Internet scenarios. Background technique [0002] In the era of big data, with the explosive growth of Internet data, IDC predicts that more than 50 billion devices will be connected to the Internet by 2020, and Internet data will reach 44ZB, 70% of which will need to be processed in edge devices. In addition, a large number of Internet users frequently request / acquire content from the cloud, which puts a huge load pressure on the server of the network service provider SP. In the peak period of network data transmission in the background of big data, traditional cloud computing technology is difficult to meet the QoS and QoE due to the huge load pressure on the cloud server. [0003] A large number of studies have shown that edge caching sinks files or servic...

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Problems solved by technology

[0005] The present invention overcomes the Internet-based online request service and multi-node cooperative edge cache scenarios in the above-mentioned prior art, and aims at the request queuing delay caused by user differentiated service requirements and edge server load imbalance, which leads to a large average access delay of user requests, and users To solve the problem of poor experience, provide an edge collaborative caching method for load balancing of differentiated services in Internet scenarios

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