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Virtual Machine Placement Based on Metaheuristic for IoT Cloud

机译：基于元启发式的物联网云虚拟机布局

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摘要

Recently, the technology of smart home devices is very attractive. Hence, the development of Internet of thing (IoT) becomes more important. The data center through the devices collected the data with user information. At the transmission rush hour with many devices send the data to center. Moreover, the amount of data will be enormous, and it needs to analysis immediately. The cloud services will be very helpful for this situation because it provides powerful computing power let processed data very quickly. This study uses the cloud computing to solve this problem. However, at the off-peak time does not need the computing power of the cloud, it is too much and waste. How to dynamic adjustment the computing power is a major issue. Considered this problem, this study proposes the metaheuristic algorithm to adjust the virtual machine for a rush hour or off-peak time. Moreover, our method needs to guarantees the final virtual machine place is optimum, and the resource consumption is minimal. The simulation result shows our method can be effectively reduced a waste of resource and deal with more data.
机译：最近，智能家居设备的技术非常有吸引力。因此，物联网（IoT）的发展变得越来越重要。数据中心通过设备收集了带有用户信息的数据。在传输高峰时间，许多设备会将数据发送到中心。而且，数据量将是巨大的，需要立即进行分析。云服务将在这种情况下非常有用，因为它提供了强大的计算能力，可以非常快速地处理数据。本研究使用云计算来解决此问题。但是，在非高峰时间并不需要云的计算能力，这太浪费了。如何动态调整计算能力是一个主要问题。考虑到此问题，本研究提出了一种元启发式算法来在高峰时间或非高峰时间调整虚拟机。而且，我们的方法需要确保最终的虚拟机位置最佳，并且资源消耗最小。仿真结果表明，该方法可以有效减少资源浪费，处理更多数据。

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