Open AccessAn Improved Content Delivery Technology Based on Genetic Algorithm in Cloud Storage
Author(s) -
Pu Zhao,
Jingtao Shang,
Qian Li,
Ming Ma,
Xin Sun
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/3/032114
Subject(s) - cloud computing , cloud storage , computer science , content delivery network , content delivery , greedy algorithm , heuristic , computer data storage , distributed computing , database , computer network , algorithm , server , operating system , artificial intelligence
Compared with the traditional content delivery network (CDN), content delivery based on cloud storage has the advantage of reducing storage costs while providing superior data security over common storage solutions. There has been a lot of research on content delivery technology, but existing research on content delivery technology is rarely used in cloud storage based CDN. In this paper, we analyze the charging and content delivery mechanism of cloud storage, then propose a reasonable network topology and cost model. Based on the analysis of existing heuristic algorithms such as user greedy and server greedy, an improved content delivery technology based on genetic algorithm in cloud storage is proposed, which effectively reduces the content delivery cost.