Abstract: Aiming at the problems that there are various service requests and data dependent job streams and nondatadependent job streams are randomly cross-concurred in the cloud cipher service system, in order to avoid the system communication performance overhead and data security threats caused by the interaction of associated data between computing nodes, a cloud cipher job stream sche- duling algorithm based on association data localization is designed. Firstly, the mapping of cryptographic function of the task request is used to ensure the correct implementation of the multijob streams request function. Secondly, for the problem of different working modes crossing in different tasks with the same request cryptographic function, on the basis of the proposed task priority calculation method to promote the fairness of multi job streams scheduling, the classified scheduling method is adopted to realize the localization of associated data and guarantee the overall performance of the scheduling system. The simulation results show that the algorithm can not only effectively reduce the task completion time and improve resource utilization and fairness, but also has good stability.

Key words: cloud cipher service system, cipher job stream, scheduling algorithm, associated data localization