Chinese Journal on Internet of Things ›› 2020, Vol. 4 ›› Issue (4): 79-90.doi: 10.11959/j.issn.2096-3750.2020.00161

• Theory and Technology • Previous Articles     Next Articles

Service migration of heterogeneous cloud computing platform

Feng WEI1,Fei DING2(),Pengju JIAO1,Yang LI1,Yanshan CHEN1,Dengyin ZHANG2   

  1. 1 China Mobile (Suzhou) Software Technology Co.,Ltd.,Suzhou 215000,China
    2 Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Revised:2020-02-14 Online:2020-12-30 Published:2020-12-14
  • Supported by:
    The Research Foundation of Ministry of Education-China Mobile(MCM20170205);The Communication Science Research Project of Ministry of Industry and Information Technology of China(2019-R-26);The “Six Talent Peaks”Research Foundation of Jiangsu Province(DZXX-008);The NUPTSF(NY217146);The NUPTSF(NY220028)

Abstract:

With the rapid development of 5G communication technology,Internet+ and the Internet of things (IoT),cloud computing as an Internet-based virtual resource management and a distributed computing technology,provides services to users in a dynamic,on-demand and measurable manner.The solution of migrating the service platform to the cloud computing platform can realize rapid service deployment and effectively save service innovation and operating cost.With the research of the cloud computing platform-based service migration technology,the China Mobile’s OpenStack-based cloud computing architecture was taken as an example.The technical principles and core points of the mainstream service migration schemes were analyzed,such as offline migration,online migration based on platform functions,online service migration based on the agent block level and online service migration based on agent file level.The general service migration process and method were also given.Finally,three types of online migration schemes were experimentally verified through the actual platform.The technical advantages and adaptation scenarios were analyzed separately to guide the production practice of future business migration.

Key words: cloud computing, service migration, heterogeneous platform

CLC Number: 

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