Author(s)

Kun Liu ¹

Affiliation(s)

¹ College of Applied Science and Technology, Beijing Union University, Beijing, China

Corresponding Author

Kun Liu

ABSTRACT

With the continuous expansion of cloud computing scale and dynamic changes in load, reasonable computing migration can optimize resource utilization, improve system performance, and reduce energy consumption. This paper first describes the characteristics and development prospects of cloud computing migration algorithms, then introduces the basic principles and classification of cloud computing migration algorithms, then analyzes several common computing migration algorithms. This paper proposes the principle of migration algorithm based on ant colony optimization algorithm and particle swarm, then analyzes the experimental results. Finally, this article provides a prospect for the future development of mobile cloud computer migration algorithms. With the development and increasing demand of mobile cloud computing, migration algorithms will continue to evolve and innovate, solving various problems in mobile cloud computing, and expanding the research field of mobile cloud computing.

KEYWORDS

Cloud computing, computing migration, load forecasting, ant colony, particle swarm

CITE THIS PAPER

Kun Liu, Research on the Migration Algorithm of Mobile Cloud Computing. Advances in Computer, Signals and Systems (2023) Vol. 7: 118-127. DOI: http://dx.doi.org/10.23977/acss.2023.070615.

REFERENCES

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