Distributed type cloud computing data migration method

Abstract

The invention provides a distributed type cloud computing data migration method. Different data migration methods can be adopted according to different network states. Under the condition that the network state is good, the data migration method based on network transmission is adopted, under the condition that the network state is poor, the data migration method based on pre-storage is adopted, and when the network state constantly changes along with external factors, the data migration method based on the network state is adopted. Due to the fact that the data migration modes are changed according to the network state, the method can effectively shorten response time, reduce dependency on the storage resources, reduce dependency on the network resources, effectively improve working efficiency, enhance working reliability and be suitable for popularization and use.

Description

technical field [0001] The invention belongs to the field of network technology and distributed technology, and relates to cloud computing, in particular to a distributed cloud computing data migration method, which is used to reduce the response time of services provided by a distributed cloud computing platform. Background technique [0002] Distributed Cloud Computing (Disturbed Cloud Computing) is a new cloud computing platform provision model that further combines distributed technology in the concept of cloud computing. It is a more reasonable and effective service provision and operation model. In this model , Traditionally local computing, storage and other services are replaced by large-scale, centralized cloud computing services. In cloud computing, users can conveniently and transparently use various computing, storage and other resources provided by cloud computing service providers on demand. These computing resources can be quickly provided and released, which...

AI Technical Summary

Problems solved by technology

[0004] Disadvantages of prior art 1: the requirements on the network environment are extremely high, on the one hand, the actual network environment is difficult to meet the requirements of method 1: in order to ensure the quality of service for users, the network bandwidth of the system must meet the situation that all users use the network at the same time

[0006] Disadvantages of existing technology 2: It wastes a lot of storage resources. According to the data migration strategy, after a period of time, almost every edge cloud stores user data, resulting in too much redundant data in the network, causing storage waste of resources