精品文档---下载后可任意编辑一种基于超图分割理论的云平台工作流调度子系统的设计与实现的开题报告摘要：随着云平台技术的快速进展，云计算已成为当代 IT 进展的重要趋势，越来越多的企业选择将自己的业务迁移到云端，并采纳工作流技术以提高自己的业务效率和管理水平。本文提出一种基于超图分割理论的云平台工作流调度子系统的设计与实现方案。该方案针对工作流调度问题，将传统的 DAG 模型转换为超图模型，并运用超图分割理论实现云平台工作流调度的优化。同时，本文还实现了一个基于 Spark 的分布式云平台工作流引擎，并将其与超图分割算法相结合，以实现高效的云平台工作流调度。最终，通过实验对系统进行了测试，表明该系统能够显著提升云平台工作流调度的效率。关键词：超图分割；云平台工作流；调度；SparkAbstract：With the rapid development of cloud platform technology, cloud computing has become an important trend of contemporary IT development. More and more enterprises choose to migrate their business to the cloud and adopt workflow technology to improve their business efficiency and management level. This paper proposes a design and implementation scheme of a cloud platform workflow scheduling subsystem based on hypergraph segmentation theory. This scheme targets the workflow scheduling problem, transforms the traditional DAG model into a hypergraph model, and uses hypergraph segmentation theory to optimize the cloud platform workflow scheduling. At the same time, this paper also implements a distributed cloud platform workflow engine based on Spark, and combines it with hypergraph segmentation algorithm to achieve efficient cloud platform workflow scheduling. Finally, the system is tested through experiments, and the results show that the system can significantly improve the efficiency of cloud platform workflow scheduling.Keywords：hypergraph segmentation; cloud platform workflow; scheduling; Spark
