A Study on Improving Methods of Multi-Source and Multipath in Large-Scale Examination System Cloud Environment

Cheng Yong Yang; Zhen Yu Li; Yue Dong Gu; Hua Fan

doi:10.4028/www.scientific.net/AMM.687-691.2722

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691A Study on Improving Methods of Multi-Source and...

A Study on Improving Methods of Multi-Source and Multipath in Large-Scale Examination System Cloud Environment

Abstract:

With the enlargement of the test scale, the examination system has become the direction of large-scale. Large-scale examination system has advantage over the calculation in a cloud environment. But more candidates and examinations lead to network congestion. On the solutions of network congestion, there has been a lot of wan processing methods. But they are not suitable for application to run in the LAN's examination system according to actual condition. Therefore, this paper will introduce an improved method of multi-source multipath to alleviate the burden to the public network channel in the process of network data transmission. In order to improve the stability of the system by optimizing software to reduce the dependence on hardware. In the end, this paper will discuss the performance of this strategy.