Reinforcement learning-based inter-data center multi-target disaster backup method and system

Abstract

The invention discloses a reinforcement learning-based inter-data center multi-target disaster backup method and a system. The method comprises the steps of expanding an inter-data center network to obtain a time expansion network; acquiring to-be-backed-up data in the time expansion network; inputting the to-be-backed-up data into a backup route selection model to obtain an optimal backup route scheme; transmitting and backing up the to-be-backed-up data in the time expansion network according to the optimal backup routing scheme; wherein the backup route selection model comprises a fitness function of each link in a multicast tree in the time expansion network to the multicast tree and a congestion factor function of each link, and solving to obtain an optimal backup route scheme by taking minimization of backup cost and link load balance as a target. When disaster backup is carried out, factors in two aspects of backup cost and load balancing are fully considered, a backup routing scheme which is relatively good in the two aspects of backup cost and load balancing at the same time is obtained through a backup routing selection model, and on the basis of reducing broadband waste,maximum link congestion is relieved.

Description

Technical field [0001] The present disclosure relates to a method and system for multi-target disaster backup between data centers based on reinforcement learning. Background technique [0002] The statements in this section merely provide background technical information related to the present disclosure, and do not necessarily constitute prior art. [0003] In recent years, many large enterprises, such as Amazon, Google, and Microsoft, have deployed large data centers in multiple geographic locations to provide various services to millions of users around the world. Due to natural disasters and man-made sabotage, data security has also attracted more and more attention. In order to achieve data redundancy and ensure data security, it is necessary to regularly replicate TB to PB of data in the inter-data center network and distribute it to three or more other remote data centers. This is disaster backup. [0004] At present, for redundant disaster backup, most studies have adopted...

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Problems solved by technology

[0004] At present, for redundant disaster backup, most studies use multicast routing to reduce backup bandwidth consumption, but most of them do not consider the load balancing of network links. Daily services will also be severely affected

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