Abstract
The service provider nodes in distributed microservice architecture often exit, join the network or have faults, which will affect the availability of the system. One of the main causes of the problem is the “bump” of service nodes. In this paper, a monitoring and switching algorithm based on dual-node hot backup is adopted, which makes the probability of bumping lower than the traditional single machine and switching method. Moreover, with the gradual increase of system scale, the performance of dual-node hot backup algorithm is still stable. Experimental results show that this method can effectively reduce the occurrence of service consumption node access failure events and improve the availability of the system.
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