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Performance Evaluation of a Hadoop-based Secure Cloud Platform

机译:基于Hadoop的安全云平台的性能评估

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Cloud computing platforms offer a convenient solution for addressing challenges of processing large-scale data in both academia and industry, beyond what could be achieved with traditional on-site clusters. There are a great number of on-line cloud services, and in the meantime, the security issue is getting more and more significant for cloud users. Whereas Hadoop-based cloud platform is currently a well-known service framework, our goal in this paper is to investigate the mechanisms of authentication and encryption of Hadoop. We try to construct a highly secure Hadoop platform with small deployment cost, robust attacking prevention, and less performance degradation. We also conduct a number of simulations to evaluate the performance under different parametric settings and cryptographic algorithms. Simulation results reveal the feasibility of security mechanisms, and find that the more important thing to construct cloud platforms with appropriate security mechanisms is to consider the application requirements, which could be a better trade-off between security and user requirement.
机译:云计算平台提供了一种方便的解决方案,用于解决学术界和工业中加工大规模数据的挑战,超出传统的现场集群可以实现的。有很多在线云服务,与此同时,安全问题对云用户来说越来越重要。基于Hadoop的云平台是目前是一个着名的服务框架,我们本文的目标是调查Hadoop的身份验证和加密机制。我们尝试构建一个高度安全的Hadoop平台,具有小部署成本,强大的攻击预防,并且性能下降较少。我们还进行了许多模拟来评估不同参数设置和加密算法下的性能。仿真结果揭示了安全机制的可行性,并发现构建具有适当安全机制的云平台的重要事项是考虑应用要求,这可能是安全性和用户要求之间的更好的权衡。

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