Virtual service transition method

Abstract

The invention relates to a virtual service transition method which comprises the following steps: selecting transition evaluation parameters according to service types and user requirements; monitoring virtual nodes in a network by a monitor; obtaining state information of the virtual nodes in regard to the evaluation parameters when a new request is reached or a user request is changed; calculating the service transition cost of each virtual node according to the state information; acquiring the virtual node with the lowest virtual service transition cost as a service node from the virtual nodes through the transition cost calculation method; selecting the service node to transit the virtual service. The virtual service transition method provided by the invention can be used for judging and executing the transition by effectively combining the influences of each factor on the transition, and realizing the management of network resources and improving the user service experience quality by utilizing the service transition.

Description

technical field [0001] The invention relates to the field of mobile Internet, in particular to a virtual service migration method. Background technique [0002] With the increasing development of science and technology, the mobile Internet has become one of the main trends in the development of the Internet. According to statistics, as of March 2013, the number of fixed Internet broadband users in my country was 181 million, while the number of mobile Internet users had reached 817 million. With the increasing demand for network mobility, changes in user behavior, continuous enrichment of information interaction types, and increasing data traffic, ensuring and improving user service experience quality has become a new challenge for the Internet field. The development of virtualization technology provides the possibility to solve the problem of mobility. The goal of virtualization is to realize the smooth movement of virtual services without considering the properties of th...

AI Technical Summary

Problems solved by technology

The quantification of the two factors is too simple and rigid, which is not conducive to the dynamic adjustment of migration timing

Moreover, the various factors that determine the migration are interactive, and the simple comparison of the size cannot reflect the relationship between the various factors.

Although MIX k The roaming cost due to cross-domain is added to the algorithm, but there are still problems with the above-mentioned quantification and simple relationship description

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