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An ant colony algorithm-based approach for cost-effective data hosting with high availability in multi-cloud environments

机译:基于蚁群算法的方法,可在多云环境中实现经济高效的数据托管和高可用性

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In this age of information, data plays an increasingly important role. Nowadays, with the development and popularization of cloud computing, more and more enterprises and personal users choose to put their applications and data into the cloud. However, most of them tend to use single cloud because of convenience and cheap storage price in the short term. This may lead to some challenges and risks, such as vendor lock-in, data low-availability, and data privacy risks. Recently, multi-cloud has attracted considerable interests. In this paper, an ant colony algorithm-based approach is proposed for data hosting in multi-cloud environments, which is subjected to optimization objectives including cost and availability. Extensive experiments are performed to evaluate the proposed method, which are driven by real-world cloud services information.
机译:在这个信息时代,数据扮演着越来越重要的角色。如今,随着云计算的发展和普及,越来越多的企业和个人用户选择将其应用程序和数据放入云中。但是,由于短期内的便利性和低廉的存储价格,它们中的大多数倾向于使用单个云。这可能会带来一些挑战和风险,例如供应商锁定,数据低可用性和数据隐私风险。最近,多云引起了人们的极大兴趣。本文针对多云环境下的数据托管提出了一种基于蚁群算法的方法,该方法要满足包括成本和可用性在内的优化目标。进行了大量实验以评估所提出的方法,该方法是由现实世界中的云服务信息驱动的。

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