基于多种云环境的任务调度算法综述.

Task scheduling algorithms are the core method for resource allocation and deployment in cloud computing. To meet the current task demand of cloud computing while the amount of data grows exponentially, the paper focused on systematically sorting and summarizing of task scheduling algorithms. Categorized by cloud environment, it studied and analyzed four types of scheduling algorithms, namely single cloud, federated cloud, hybrid cloud, and multi-cloud. For single cloud environment, the paper elaborated from the perspectives of traditional heuristics, meta heuristics, and hybrid task scheduling algorithms. For federated cloud, hybrid cloud, and multi-cloud environments, the paper elaborate from the perspectives of workflow and independent task scheduling algorithms. Through comparisons, this paper summarized the advantages, disadvantages, and optimization performance of existing algorithms, and formed conclusive opinions and open questions, laying the foundation for future research on container clouds, data clouds, and algorithms that balanced resource allocation and task scheduling. [ABSTRACT FROM AUTHOR]