Intrusion-tolerant cloud workflow implementation method and system

Abstract

According to the cloud workflow implementation method with intrusion tolerance, the executive programs corresponding to the tasks in the workflow are deployed in the containers respectively, and thenthe containers are transplanted to the virtual machines with the different operating systems, so that the cloud system intrusion tolerance capability can be effectively improved. Furthermore, the subtask results executed by the plurality of virtual machines are judged; calculating the confidence coefficient of the sub-task result generated within the preset time; therefore, the reliability and credibility of the execution of the current subtask are determined, whether the selection result is submitted to the next subtask or the execution subtask of the virtual machine is reset is determined, the reliability and credibility of the output result are ensured through the mutual judgment and verification of the generation results of the plurality of virtual machines, and the invasion toleranceof the cloud system can be truly improved. In addition, the invention provides a system applying the cloud workflow implementation method with intrusion tolerance, and the purpose and the effect of the implementation method are achieved.

Description

technical field [0001] The invention relates to the technical field of network security, in particular to an intrusion-tolerant cloud workflow implementation method and system. Background technique [0002] Cloud computing is a supercomputing model based on virtualization technology, using the network as the carrier, providing services such as infrastructure, platform, and software applications, and integrating large-scale and scalable distributed computing resources for collaborative work. In the cloud computing model, users no longer need to purchase hardware, but only need to pay a certain fee, and can easily obtain the required computing and storage resources through the network. Due to the low cost and simple operation of cloud services, more and more large-scale scientific computing tasks are delivered to cloud computing platforms for completion. Large-scale scientific computing tasks usually consist of hundreds or thousands of steps. In order to arrange, execute and...

AI Technical Summary

Problems solved by technology

In addition, scientific computing usually has very high requirements on the accuracy of results, and result errors caused by random system disturbances or malicious tampering by attackers will directly lead to the failure of the entire workflow execution, resulting in immeasurable losses

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