Abstract
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.
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Acknowledgments
This research was partly funded by the National Science Council of the R.O.C. under grants MOST 105-2221-E-197 -010 -MY2 and MOST 105-2221-E-143 -001 -MY2.
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Huang, SY., Liao, CC., Chang, YC., Chao, HC. (2017). Virtual Machine Placement Based on Metaheuristic for IoT Cloud. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10602. Springer, Cham. https://doi.org/10.1007/978-3-319-68505-2_41
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DOI: https://doi.org/10.1007/978-3-319-68505-2_41
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