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Research on Cloud Resource Hadoop Cluster Scheduling Algorithm Based on Artificial Bee Colony Algorithm

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DOI: 10.25236/ictmic.2020.080


Fan Haiyan

Corresponding Author

Fan Haiyan


Today, the number of data and users enterprises are facing is increasing. At the same time, cross industry access to business systems (traffic, data storage and management pressure are higher than in the past). These "big users, big data, big systems" have become problems. The necessary conditions for the development of cloud computing. With the development of information technology, cloud computing has become an important solution to the challenges of information and social big data. Cloud computing applications put forward higher and higher requirements for the quality of service of virtual resources. Is cloud task scheduling a key problem affecting the quality of service of virtual resources? It has become a research hotspot. Swarm intelligence algorithm is an important analysis method to solve optimization problems. In recent years, it has achieved good results in scheduling problems.


Bee Colony Algorithm, Cloud Resources, Hadoop Cluster Scheduling Algorithm