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A secured and cost-effective method for processing queries using cloud resources optimally at hybrid cloud

机译:一种安全且经济高效的方法,可在混合云上优化使用云资源来处理查询

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Cloud computing is a promising computing paradigm which recently has drawn extensive attention from both academia and industry. Data privacy is an important issue for cloud computing as third party maintenance of data leads to security threat. Moreover, the cloud customers paid bill as per their usage to cloud service providers in a cloud environment. In this context, processing queries in cloud environment in a secured and cost-effective way is utmost important from both the viewpoints of cloud service providers as well as cloud customers. In this paper, first, an approach has been developed for maintaining data privacy of private sensitive data in hybrid cloud computing. This mechanism ensures that the private and sensitive data of an enterprise in a cloud environment is to be stored and maintained within the enterprise itself for globally distributed enterprises. Next, an authentication monitor is introduced in this work to maintain authenticity. Finally, a delay-based cost model has been developed in this paper for processing queries in a secured and optimized way by using cloud resources optimally in hybrid cloud environment. The analytical result of the delay-based cost model is also illustrated at the end of the paper.
机译:云计算是一种很有前途的计算范例,最近引起了学术界和行业的广泛关注。数据隐私是云计算的重要问题,因为数据的第三方维护会导致安全威胁。此外,云客户根据其使用情况向云环境中的云服务提供商支付账单。在这种情况下,从云服务提供商和云客户的角度来看,以安全且经济高效的方式在云环境中处理查询至关重要。在本文中,首先,开发了一种在混合云计算中维护私有敏感数据的数据隐私的方法。这种机制确保了云环境中企业的私有数据和敏感数据将在企业内部为全球分布的企业存储和维护。接下来,在这项工作中引入了一个身份验证监视器来维护真实性。最后,本文建立了基于延迟的成本模型,通过在混合云环境中优化使用云资源,以安全,优化的方式处理查询。本文最后还说明了基于延迟的成本模型的分析结果。

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