云环境中工作流的数据分配方法

云计算为工作流应用提供所需的高效率计算和大存储量同时也给商业机密等隐私数据的保护带来了挑战.由于保护隐私数据会造成数据传输时间的增加，本文提出一种新的基于数据协同破坏度的数据分配算法，以改进已有的数据分配策略.算法依赖私有云的安全性和公有云的计算机能力，在初始阶段只对非隐私数据进行划分来改进原始数据的静态分配方法，在运行阶段则不断地动态调整生成数据得到数据分配方案.实验表明，该改进方法在减少数据的传输时间花销上是有效的.

A Data Distribution Method for Workflow in Cloud Environment

While cloud computing provides high efficiency calculation and massive storage for workflow application, it also brings challenges to the protection of private data such as trade secrets. Because protecting private data will result in an increase in data transmission time, a new data distribution algorithm based on data collaboration failure degree is proposed to improve the existing data allocation strategies. Relying on private cloud safety and public cloud computer capacity in the initial stage, the non-privacy data is divided by the static allocation method to improve the initial data, and in the running stage, the generated data is constantly adjusted to get the data distribution plan. Experiments show that the improved method is effective in reducing the data transmission time.