混合云中基于数据保护的耦合任务调度策略

摘要

The economic factors is a key factor that drives hybrid cloud load scheduling and resource management, in addition data confidentiality and security, the task dependency also put higher requirements. Proposes the comprehensive optimization scheduling strategy of overhead cost to solve above problems, not only considers data security migration and outsourcing the total running costs, but also in-depth ana-lyzes the application model with dependent task scheduling. Through simulation experiments based on cloud simulation platform, and compared with the existing resource scheduling algorithm, the experimental results show that the hybrid cloud scheduling strategy have the comprehensive improvement both increasing throughput and reducing the total overhead costs.%经济因素是驱动混合云负载调度和资源管理的关键因素，同时数据机密和安全性、任务依赖性等问题也对调度策略提出更高的要求。针对以上问题提出综合优化成本开销的调度策略，不仅考虑数据安全迁移和外包运行的总成本，也深入分析应用程序模型中任务依赖性调度。最后通过云仿真平台的实验仿真，并与现有的资源调度算法进行对比，实验结果表明该混合云调度策略在提高吞吐能力和降低总体成本开销方面的综合改善。